151 results on '"Liang, Futian"'
Search Results
2. The 120Gbps VCSEL Array Based Optical Transmitter (ATx) Development for the High-Luminosity LHC (HL-LHC) Experiments
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Guo, Di, Liu, Chonghan, Chen, Jinghong, Chramowicz, John, Deng, Binwei, Gong, Datao, Hou, Suen, Jin, Ge, Kwan, Simon, Liang, Futian, Li, Xiaoting, Liu, Gang, Liu, Tiankuan, Prosser, Alan, Su, Da-Shung, Teng, Ping-Kun, Xu, Tongye, Ye, Jingbo, Zhao, Xiandong, Xiang, Annie C., and Liang, Hao
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Physics - Instrumentation and Detectors - Abstract
The integration of a Verticle Cavity Surface-Emitting Laser (VCSEL) array and a driving Application-Specific Integrated Circuit (ASIC) in a custom optical array transmitter module (ATx) for operation in the detector front-end is constructed, assembled and tested. The ATx provides 12 parallel channels with each channel operating at 10 Gbps. The optical transmitter eye diagram passes the eye mask and the bit-error rate (BER) less than 1E-12 transmission is achieved at 10 Gbps/ch. The overall insertion loss including the radiation induced attenuation is sufficiently low to meet the proposed link budget requirement., Comment: 10 pages, 9 figures
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- 2024
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3. Optical Data Transmission ASICs for the High-Luminosity LHC (HL-LHC) Experiments
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Li, Xiaoting, Liu, Gang, Chen, Jinghong, Deng, Binwei, Gong, Datao, Guo, Di, He, Mengxun, Hou, Suen, Huang, Guangming, Jin, Ge, Liang, Hao, Liang, Futian, Liu, Chonghan, Liu, Tiankuan, Sun, Xiangming, Teng, Ping-Kun, Xiang, Annie C., Ye, Jingbo, You, Yang, and Zhao, Xiandong
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Physics - Instrumentation and Detectors - Abstract
We present the design and test results of two optical data transmission ASICs for the High-Luminosity LHC (HL-LHC) experiments. These ASICs include a two-channel serializer (LOCs2) and a single-channel Vertical Cavity Surface Emitting Laser (VCSEL) driver (LOCld1V2). Both ASICs are fabricated in a commercial 0.25-um Silicon-on-Sapphire (SoS) CMOS technology and operate at a data rate up to 8 Gbps per channel. The power consumption of LOCs2 and LOCld1V2 are 1.25 W and 0.27 W at 8-Gbps data rate, respectively. LOCld1V2 has been verified meeting the radiation-tolerance requirements for HL-LHC experiments., Comment: 9 pages, 12 figures
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- 2024
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4. Logical Magic State Preparation with Fidelity Beyond the Distillation Threshold on a Superconducting Quantum Processor
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Ye, Yangsen, He, Tan, Huang, He-Liang, Wei, Zuolin, Zhang, Yiming, Zhao, Youwei, Wu, Dachao, Zhu, Qingling, Guan, Huijie, Cao, Sirui, Chen, Fusheng, Chung, Tung-Hsun, Deng, Hui, Fan, Daojin, Gong, Ming, Guo, Cheng, Guo, Shaojun, Han, Lianchen, Li, Na, Li, Shaowei, Li, Yuan, Liang, Futian, Lin, Jin, Qian, Haoran, Rong, Hao, Su, Hong, Wang, Shiyu, Wu, Yulin, Xu, Yu, Ying, Chong, Yu, Jiale, Zha, Chen, Zhang, Kaili, Huo, Yong-Heng, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Fault-tolerant quantum computing based on surface code has emerged as an attractive candidate for practical large-scale quantum computers to achieve robust noise resistance. To achieve universality, magic states preparation is a commonly approach for introducing non-Clifford gates. Here, we present a hardware-efficient and scalable protocol for arbitrary logical state preparation for the rotated surface code, and further experimentally implement it on the \textit{Zuchongzhi} 2.1 superconducting quantum processor. An average of \hhl{$0.8983 \pm 0.0002$} logical fidelity at different logical states with distance-three is achieved, \hhl{taking into account both state preparation and measurement errors.} In particular, \hhl{the magic states $|A^{\pi/4}\rangle_L$, $|H\rangle_L$, and $|T\rangle_L$ are prepared non-destructively with logical fidelities of $0.8771 \pm 0.0009 $, $0.9090 \pm 0.0009 $, and $0.8890 \pm 0.0010$, respectively, which are higher than the state distillation protocol threshold, 0.859 (for H-type magic state) and 0.827 (for T -type magic state).} Our work provides a viable and efficient avenue for generating high-fidelity raw logical magic states, which is essential for realizing non-Clifford logical gates in the surface code., Comment: In this version, we do not employ readout error mitigation strategies (in the previous version, we use readout transition matrix to mitigate the measurement error) to remove measurement errors because we believe it provides a more predictive assessment of the actual fidelity when generating and consuming magic states for a non-Clifford gate, as consuming the state involves measurement
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- 2023
5. Experimental quantum computational chemistry with optimised unitary coupled cluster ansatz
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Guo, Shaojun, Sun, Jinzhao, Qian, Haoran, Gong, Ming, Zhang, Yukun, Chen, Fusheng, Ye, Yangsen, Wu, Yulin, Cao, Sirui, Liu, Kun, Zha, Chen, Ying, Chong, Zhu, Qingling, Huang, He-Liang, Zhao, Youwei, Li, Shaowei, Wang, Shiyu, Yu, Jiale, Fan, Daojin, Wu, Dachao, Su, Hong, Deng, Hui, Rong, Hao, Li, Yuan, Zhang, Kaili, Chung, Tung-Hsun, Liang, Futian, Lin, Jin, Xu, Yu, Sun, Lihua, Guo, Cheng, Li, Na, Huo, Yong-Heng, Peng, Cheng-Zhi, Lu, Chao-Yang, Yuan, Xiao, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Quantum computational chemistry has emerged as an important application of quantum computing. Hybrid quantum-classical computing methods, such as variational quantum eigensolvers (VQE), have been designed as promising solutions to quantum chemistry problems, yet challenges due to theoretical complexity and experimental imperfections hinder progress in achieving reliable and accurate results. Experimental works for solving electronic structures are consequently still restricted to nonscalable (hardware efficient) or classically simulable (Hartree-Fock) ansatz, or limited to a few qubits with large errors. The experimental realisation of scalable and high-precision quantum chemistry simulation remains elusive. Here, we address the critical challenges {associated with} solving molecular electronic structures using noisy quantum processors. Our protocol presents significant improvements in the circuit depth and running time, key metrics for chemistry simulation. Through systematic hardware enhancements and the integration of error mitigation techniques, we push forward the limit of experimental quantum computational chemistry and successfully scale up the implementation of VQE with an optimised unitary coupled-cluster ansatz to 12 qubits. We produce high-precision results of the ground-state energy for molecules with error suppression by around two orders of magnitude. We achieve chemical accuracy for H$_2$ at all bond distances and LiH at small bond distances in the experiment, even beyond the two recent concurrent works. Our work demonstrates a feasible path towards a scalable solution to electronic structure calculation, validating the key technological features and identifying future challenges for this goal., Comment: 11 pages, 4 figures in the main text, and 29 pages supplementary materials with 17 figures
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- 2022
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6. Experimental Simulation of Larger Quantum Circuits with Fewer Superconducting Qubits
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Ying, Chong, Cheng, Bin, Zhao, Youwei, Huang, He-Liang, Zhang, Yu-Ning, Gong, Ming, Wu, Yulin, Wang, Shiyu, Liang, Futian, Lin, Jin, Xu, Yu, Deng, Hui, Rong, Hao, Peng, Cheng-Zhi, Yung, Man-Hong, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Although near-term quantum computing devices are still limited by the quantity and quality of qubits in the so-called NISQ era, quantum computational advantage has been experimentally demonstrated. Moreover, hybrid architectures of quantum and classical computing have become the main paradigm for exhibiting NISQ applications, where low-depth quantum circuits are repeatedly applied. In order to further scale up the problem size solvable by the NISQ devices, it is also possible to reduce the number of physical qubits by "cutting" the quantum circuit into different pieces. In this work, we experimentally demonstrated a circuit-cutting method for simulating quantum circuits involving many logical qubits, using only a few physical superconducting qubits. By exploiting the symmetry of linear-cluster states, we can estimate the effectiveness of circuit-cutting for simulating up to 33-qubit linear-cluster states, using at most 4 physical qubits for each subcircuit. Specifically, for the 12-qubit linear-cluster state, we found that the experimental fidelity bound can reach as much as 0.734, which is about 19\% higher than a direct simulation {on the same} 12-qubit superconducting processor. Our results indicate that circuit-cutting represents a feasible approach of simulating quantum circuits using much fewer qubits, while achieving a much higher circuit fidelity.
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- 2022
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7. Realization of fast all-microwave CZ gates with a tunable coupler
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Li, Shaowei, Fan, Daojin, Gong, Ming, Ye, Yangsen, Chen, Xiawei, Wu, Yulin, Guan, Huijie, Deng, Hui, Rong, Hao, Huang, He-Liang, Zha, Chen, Yan, Kai, Guo, Shaojun, Qian, Haoran, Zhang, Haibin, Chen, Fusheng, Zhu, Qingling, Zhao, Youwei, Wang, Shiyu, Ying, Chong, Cao, Sirui, Yu, Jiale, Liang, Futian, Xu, Yu, Lin, Jin, Guo, Cheng, Sun, Lihua, Li, Na, Han, Lianchen, Peng, Cheng-Zhi, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
The development of high-fidelity two-qubit quantum gates is essential for digital quantum computing. Here, we propose and realize an all-microwave parametric Controlled-Z (CZ) gates by coupling strength modulation in a superconducting Transmon qubit system with tunable couplers. After optimizing the design of the tunable coupler together with the control pulse numerically, we experimentally realized a 100 ns CZ gate with high fidelity of 99.38%$ \pm$0.34% and the control error being 0.1%. We note that our CZ gates are not affected by pulse distortion and do not need pulse correction, {providing a solution for the real-time pulse generation in a dynamic quantum feedback circuit}. With the expectation of utilizing our all-microwave control scheme to reduce the number of control lines through frequency multiplexing in the future, our scheme draws a blueprint for the high-integrable quantum hardware design.
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- 2022
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8. The Miniature Optical Transmitter and Transceiver For the High-Luminosity LHC (HL-LHC) experiments
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Liu, Chonghan, Zhao, Xiandong, Chen, Jinghong, Deng, Binwei, Gong, Datao, Guo, Di, Huang, Deping, Hou, Suen, Li, Xiaoting, Liang, Futian, Liu, Gang, Liu, Tiankuan, Teng, Ping-Kun, Xiang, Annie C., and Ye, Jingbo
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Physics - Instrumentation and Detectors - Abstract
We present the design and test results of the Miniature optical Transmitter (MTx) and Transceiver (MTRx) for the high luminosity LHC (HL-LHC) experiments. MTx and MTRx are Transmitter Optical Subassembly (TOSA) and Receiver Optical Subassembly (ROSA) based. There are two major developments: the Vertical Cavity Surface Emitting Laser (VCSEL) driver ASIC LOCld and the mechanical latch that provides the connection to fibers. In this paper, we concentrate on the justification of this work, the design of the latch and the test results of these two modules with a Commercial Off-The-Shelf (COTS) VCSEL driver., Comment: 5 pages, 7 figures
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- 2022
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9. Component Prototypes towards a Low-Latency, Small-form-factor Optical Link for the ATLAS Liquid Argon Calorimeter Phase-I Trigger Upgrade
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Deng, Binwei, He, Mengxun, Chen, Jinghong, Gong, Datao, Guo, Di, Hou, Suen, Li, Xiaoting, Liang, Futian, Liu, Chonghan, Liu, Gang, Teng, Ping-Kun, Xiang, Annie C, Xu, Tongye, Yang, You, Ye, Jingbo, Zhao, Xiandong, and Liu, Tiankuan
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Physics - Instrumentation and Detectors - Abstract
This paper presents several component prototypes towards a low-latency, small-form-factor optical link designed for the ATLAS Liquid Argon Calorimeter Phase-I trigger upgrade. A prototype of the custom-made dual-channel optical transmitter module, the Miniature optical Transmitter (MTx), with separate transmitter optical sub-assemblies (TOSAs) has been demonstrated at data rates up to 8 Gbps per channel. A Vertical-Cavity Surface-Emitting Laser (VCSEL) driver ASIC has been developed and is used in the current MTx prototypes. A serializer ASIC prototype, operating at up to 8 Gbps per channel, has been designed and tested. A low-latency, low-overhead encoder ASIC prototype has been designed and tested. The latency of the whole link, including the transmitter latency and the receiver latency but not the latency of the fiber, is estimated to be less than 57.9 ns. The size of the MTx is 45 mm x 15 mm x 6 mm., Comment: 12 pages, 13 figures
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- 2022
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10. Quantum Neuronal Sensing of Quantum Many-Body States on a 61-Qubit Programmable Superconducting Processor
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Gong, Ming, Huang, He-Liang, Wang, Shiyu, Guo, Chu, Li, Shaowei, Wu, Yulin, Zhu, Qingling, Zhao, Youwei, Guo, Shaojun, Qian, Haoran, Ye, Yangsen, Zha, Chen, Chen, Fusheng, Ying, Chong, Yu, Jiale, Fan, Daojin, Wu, Dachao, Su, Hong, Deng, Hui, Rong, Hao, Zhang, Kaili, Cao, Sirui, Lin, Jin, Xu, Yu, Sun, Lihua, Guo, Cheng, Li, Na, Liang, Futian, Sakurai, Akitada, Nemoto, Kae, Munro, W. J., Huo, Yong-Heng, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Classifying many-body quantum states with distinct properties and phases of matter is one of the most fundamental tasks in quantum many-body physics. However, due to the exponential complexity that emerges from the enormous numbers of interacting particles, classifying large-scale quantum states has been extremely challenging for classical approaches. Here, we propose a new approach called quantum neuronal sensing. Utilizing a 61 qubit superconducting quantum processor, we show that our scheme can efficiently classify two different types of many-body phenomena: namely the ergodic and localized phases of matter. Our quantum neuronal sensing process allows us to extract the necessary information coming from the statistical characteristics of the eigenspectrum to distinguish these phases of matter by measuring only one qubit. Our work demonstrates the feasibility and scalability of quantum neuronal sensing for near-term quantum processors and opens new avenues for exploring quantum many-body phenomena in larger-scale systems., Comment: 7 pages, 3 figures in the main text, and 13 pages, 13 figures, and 1 table in supplementary materials
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- 2022
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11. Realization of an Error-Correcting Surface Code with Superconducting Qubits
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Zhao, Youwei, Ye, Yangsen, Huang, He-Liang, Zhang, Yiming, Wu, Dachao, Guan, Huijie, Zhu, Qingling, Wei, Zuolin, He, Tan, Cao, Sirui, Chen, Fusheng, Chung, Tung-Hsun, Deng, Hui, Fan, Daojin, Gong, Ming, Guo, Cheng, Guo, Shaojun, Han, Lianchen, Li, Na, Li, Shaowei, Li, Yuan, Liang, Futian, Lin, Jin, Qian, Haoran, Rong, Hao, Su, Hong, Sun, Lihua, Wang, Shiyu, Wu, Yulin, Xu, Yu, Ying, Chong, Yu, Jiale, Zha, Chen, Zhang, Kaili, Huo, Yong-Heng, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Quantum error correction is a critical technique for transitioning from noisy intermediate-scale quantum (NISQ) devices to fully fledged quantum computers. The surface code, which has a high threshold error rate, is the leading quantum error correction code for two-dimensional grid architecture. So far, the repeated error correction capability of the surface code has not been realized experimentally. Here, we experimentally implement an error-correcting surface code, the distance-3 surface code which consists of 17 qubits, on the \textit{Zuchongzhi} 2.1 superconducting quantum processor. By executing several consecutive error correction cycles, the logical error can be significantly reduced after applying corrections, achieving the repeated error correction of surface code for the first time. This experiment represents a fully functional instance of an error-correcting surface code, providing a key step on the path towards scalable fault-tolerant quantum computing.
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- 2021
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12. Realization of high-fidelity CZ gates in extensible superconducting qubits design with a tunable coupler
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Ye, Yangsen, Cao, Sirui, Wu, Yulin, Chen, Xiawei, Zhu, Qingling, Li, Shaowei, Chen, Fusheng, Gong, Ming, Zha, Chen, Huang, He-Liang, Zhao, Youwei, Wang, Shiyu, Guo, Shaojun, Qian, Haoran, Liang, Futian, Lin, Jin, Xu, Yu, Guo, Cheng, Sun, Lihua, Li, Na, Deng, Hui, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
High-fidelity two-qubits gates are essential for the realization of large-scale quantum computation and simulation. Tunable coupler design is used to reduce the problem of parasitic coupling and frequency crowding in many-qubit systems and thus thought to be advantageous. Here we design a extensible 5-qubit system in which center transmon qubit can couple to every four near-neighbor qubit via a capacitive tunable coupler and experimentally demonstrate high-fidelity controlled-phase (CZ) gate by manipulating center qubit and one near-neighbor qubit. Speckle purity benchmarking (SPB) and cross entrophy benchmarking (XEB) are used to assess the purity fidelity and the fidelity of the CZ gate. The average purity fidelity of the CZ gate is 99.69$\pm$0.04\% and the average fidelity of the CZ gate is 99.65$\pm$0.04\% which means the control error is about 0.04\%. Our work will help resovle many chanllenges in the implementation of large scale quantum systems., Comment: 6 pages, 6 figures
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- 2021
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13. Quantum Computational Advantage via 60-Qubit 24-Cycle Random Circuit Sampling
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Zhu, Qingling, Cao, Sirui, Chen, Fusheng, Chen, Ming-Cheng, Chen, Xiawei, Chung, Tung-Hsun, Deng, Hui, Du, Yajie, Fan, Daojin, Gong, Ming, Guo, Cheng, Guo, Chu, Guo, Shaojun, Han, Lianchen, Hong, Linyin, Huang, He-Liang, Huo, Yong-Heng, Li, Liping, Li, Na, Li, Shaowei, Li, Yuan, Liang, Futian, Lin, Chun, Lin, Jin, Qian, Haoran, Qiao, Dan, Rong, Hao, Su, Hong, Sun, Lihua, Wang, Liangyuan, Wang, Shiyu, Wu, Dachao, Wu, Yulin, Xu, Yu, Yan, Kai, Yang, Weifeng, Yang, Yang, Ye, Yangsen, Yin, Jianghan, Ying, Chong, Yu, Jiale, Zha, Chen, Zhang, Cha, Zhang, Haibin, Zhang, Kaili, Zhang, Yiming, Zhao, Han, Zhao, Youwei, Zhou, Liang, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
To ensure a long-term quantum computational advantage, the quantum hardware should be upgraded to withstand the competition of continuously improved classical algorithms and hardwares. Here, we demonstrate a superconducting quantum computing systems \textit{Zuchongzhi} 2.1, which has 66 qubits in a two-dimensional array in a tunable coupler architecture. The readout fidelity of \textit{Zuchongzhi} 2.1 is considerably improved to an average of 97.74\%. The more powerful quantum processor enables us to achieve larger-scale random quantum circuit sampling, with a system scale of up to 60 qubits and 24 cycles. The achieved sampling task is about 6 orders of magnitude more difficult than that of Sycamore [Nature \textbf{574}, 505 (2019)] in the classic simulation, and 3 orders of magnitude more difficult than the sampling task on \textit{Zuchongzhi} 2.0 [arXiv:2106.14734 (2021)]. The time consumption of classically simulating random circuit sampling experiment using state-of-the-art classical algorithm and supercomputer is extended to tens of thousands of years (about $4.8\times 10^4$ years), while \textit{Zuchongzhi} 2.1 only takes about 4.2 hours, thereby significantly enhancing the quantum computational advantage.
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- 2021
14. Floquet Prethermal Phase Protected by U(1) Symmetry on a Superconducting Quantum Processor
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Ying, Chong, Guo, Qihao, Li, Shaowei, Gong, Ming, Deng, Xiu-Hao, Chen, Fusheng, Zha, Chen, Ye, Yangsen, Wang, Can, Zhu, Qingling, Wang, Shiyu, Zhao, Youwei, Qian, Haoran, Guo, Shaojun, Wu, Yulin, Rong, Hao, Deng, Hui, Liang, Futian, Lin, Jin, Xu, Yu, Peng, Cheng-Zhi, Lu, Chao-Yang, Yin, Zhang-Qi, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Periodically driven systems, or Floquet systems, exhibit many novel dynamics and interesting out-of-equilibrium phases of matter. Those phases arising with the quantum systems' symmetries, such as global $U(1)$ symmetry, can even show dynamical stability with symmetry-protection. Here we experimentally demonstrate a $U(1)$ symmetry-protected prethermal phase, via performing a digital-analog quantum simulation on a superconducting quantum processor. The dynamical stability of this phase is revealed by its robustness against external perturbations. We also find that the spin glass order parameter in this phase is stabilized by the interaction between the spins. Our work reveals a promising prospect in discovering emergent quantum dynamical phases with digital-analog quantum simulators., Comment: 14 pages, 4 figures, and supplementary materials
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- 2021
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15. Strong quantum computational advantage using a superconducting quantum processor
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Wu, Yulin, Bao, Wan-Su, Cao, Sirui, Chen, Fusheng, Chen, Ming-Cheng, Chen, Xiawei, Chung, Tung-Hsun, Deng, Hui, Du, Yajie, Fan, Daojin, Gong, Ming, Guo, Cheng, Guo, Chu, Guo, Shaojun, Han, Lianchen, Hong, Linyin, Huang, He-Liang, Huo, Yong-Heng, Li, Liping, Li, Na, Li, Shaowei, Li, Yuan, Liang, Futian, Lin, Chun, Lin, Jin, Qian, Haoran, Qiao, Dan, Rong, Hao, Su, Hong, Sun, Lihua, Wang, Liangyuan, Wang, Shiyu, Wu, Dachao, Xu, Yu, Yan, Kai, Yang, Weifeng, Yang, Yang, Ye, Yangsen, Yin, Jianghan, Ying, Chong, Yu, Jiale, Zha, Chen, Zhang, Cha, Zhang, Haibin, Zhang, Kaili, Zhang, Yiming, Zhao, Han, Zhao, Youwei, Zhou, Liang, Zhu, Qingling, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Scaling up to a large number of qubits with high-precision control is essential in the demonstrations of quantum computational advantage to exponentially outpace the classical hardware and algorithmic improvements. Here, we develop a two-dimensional programmable superconducting quantum processor, \textit{Zuchongzhi}, which is composed of 66 functional qubits in a tunable coupling architecture. To characterize the performance of the whole system, we perform random quantum circuits sampling for benchmarking, up to a system size of 56 qubits and 20 cycles. The computational cost of the classical simulation of this task is estimated to be 2-3 orders of magnitude higher than the previous work on 53-qubit Sycamore processor [Nature \textbf{574}, 505 (2019)]. We estimate that the sampling task finished by \textit{Zuchongzhi} in about 1.2 hours will take the most powerful supercomputer at least 8 years. Our work establishes an unambiguous quantum computational advantage that is infeasible for classical computation in a reasonable amount of time. The high-precision and programmable quantum computing platform opens a new door to explore novel many-body phenomena and implement complex quantum algorithms.
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- 2021
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16. Generation of genuine entanglement up to 51 superconducting qubits
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Cao, Sirui, Wu, Bujiao, Chen, Fusheng, Gong, Ming, Wu, Yulin, Ye, Yangsen, Zha, Chen, Qian, Haoran, Ying, Chong, Guo, Shaojun, Zhu, Qingling, Huang, He-Liang, Zhao, Youwei, Li, Shaowei, Wang, Shiyu, Yu, Jiale, Fan, Daojin, Wu, Dachao, Su, Hong, Deng, Hui, Rong, Hao, Li, Yuan, Zhang, Kaili, Chung, Tung-Hsun, Liang, Futian, Lin, Jin, Xu, Yu, Sun, Lihua, Guo, Cheng, Li, Na, Huo, Yong-Heng, Peng, Cheng-Zhi, Lu, Chao-Yang, Yuan, Xiao, Zhu, Xiaobo, and Pan, Jian-Wei
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- 2023
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17. Ruling out real-valued standard formalism of quantum theory
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Chen, Ming-Cheng, Wang, Can, Liu, Feng-Ming, Wang, Jian-Wen, Ying, Chong, Shang, Zhong-Xia, Wu, Yulin, Gong, Ming, Deng, Hui, Liang, Futian, Zhang, Qiang, Peng, Cheng-Zhi, Zhu, Xiaobo, Cabello, Adan, Lu, Chao-Yang, and Pan, Jian-Wei
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Quantum Physics ,Condensed Matter - Mesoscale and Nanoscale Physics ,Mathematical Physics - Abstract
Standard quantum theory was formulated with complex-valued Schrodinger equations, wave functions, operators, and Hilbert spaces. Previous work attempted to simulate quantum systems using only real numbers by exploiting an enlarged Hilbert space. A fundamental question arises: are complex numbers really necessary in the standard formalism of quantum theory? To answer this question, a quantum game has been developed to distinguish standard quantum theory from its real-number analog by revealing a contradiction in the maximum game scores between a high-fidelity multi-qubit quantum experiment and players using only real-number quantum theory. Here, using superconducting qubits, we faithfully experimentally implement the quantum game based on entanglement swapping with a state-of-the-art fidelity of 0.952(1), which beats the real-number bound of 7.66 by 43 standard deviations. Our results disprove the real-number formulation and establish the indispensable role of complex numbers in the standard quantum theory., Comment: submitted on March 2021
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- 2021
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18. Observation of strong and weak thermalization in a superconducting quantum processor
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Chen, Fusheng, Sun, Zheng-Hang, Gong, Ming, Zhu, Qingling, Zhang, Yu-Ran, Wu, Yulin, Ye, Yangsen, Zha, Chen, Li, Shaowei, Guo, Shaojun, Qian, Haoran, Huang, He-Liang, Yu, Jiale, Deng, Hui, Rong, Hao, Lin, Jin, Xu, Yu, Sun, Lihua, Guo, Cheng, Li, Na, Liang, Futian, Peng, Cheng-Zhi, Fan, Heng, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
We experimentally study the ergodic dynamics of a 1D array of 12 superconducting qubits with a transverse field, and identify the regimes of strong and weak thermalization with different initial states. We observe convergence of the local observable to its thermal expectation value in the strong-thermalizaion regime. For weak thermalization, the dynamics of local observable exhibits an oscillation around the thermal value, which can only be attained by the time average. We also demonstrate that the entanglement entropy and concurrence can characterize the regimes of strong and weak thermalization. Our work provides an essential step towards a generic understanding of thermalization in quantum systems., Comment: 6+6 pages, 4+8 figures
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- 2021
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19. Quantum walks on a programmable two-dimensional 62-qubit superconducting processor
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Gong, Ming, Wang, Shiyu, Zha, Chen, Chen, Ming-Cheng, Huang, He-Liang, Wu, Yulin, Zhu, Qingling, Zhao, Youwei, Li, Shaowei, Guo, Shaojun, Qian, Haoran, Ye, Yangsen, Chen, Fusheng, Ying, Chong, Yu, Jiale, Fan, Daojin, Wu, Dachao, Su, Hong, Deng, Hui, Rong, Hao, Zhang, Kaili, Cao, Sirui, Lin, Jin, Xu, Yu, Sun, Lihua, Guo, Cheng, Li, Na, Liang, Futian, Bastidas, V. M., Nemoto, Kae, Munro, W. J., Huo, Yong-Heng, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Quantum walks are the quantum mechanical analogue of classical random walks and an extremely powerful tool in quantum simulations, quantum search algorithms, and even for universal quantum computing. In our work, we have designed and fabricated an 8x8 two-dimensional square superconducting qubit array composed of 62 functional qubits. We used this device to demonstrate high fidelity single and two particle quantum walks. Furthermore, with the high programmability of the quantum processor, we implemented a Mach-Zehnder interferometer where the quantum walker coherently traverses in two paths before interfering and exiting. By tuning the disorders on the evolution paths, we observed interference fringes with single and double walkers. Our work is an essential milestone in the field, brings future larger scale quantum applications closer to realization on these noisy intermediate-scale quantum processors., Comment: 13 pages, 4 figures, and supplementary materials with 21 pages, 13 figures and 1 table
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- 2021
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20. Observation of thermalization and information scrambling in a superconducting quantum processor
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Zhu, Qingling, Sun, Zheng-Hang, Gong, Ming, Chen, Fusheng, Zhang, Yu-Ran, Wu, Yulin, Ye, Yangsen, Zha, Chen, Li, Shaowei, Guo, Shaojun, Qian, Haoran, Huang, He-Liang, Yu, Jiale, Deng, Hui, Rong, Hao, Lin, Jin, Xu, Yu, Sun, Lihua, Guo, Cheng, Li, Na, Liang, Futian, Peng, Cheng-Zhi, Fan, Heng, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Understanding various phenomena in non-equilibrium dynamics of closed quantum many-body systems, such as quantum thermalization, information scrambling, and nonergodic dynamics, is a crucial for modern physics. Using a ladder-type superconducting quantum processor, we perform analog quantum simulations of both the $XX$ ladder and one-dimensional (1D) $XX$ model. By measuring the dynamics of local observables, entanglement entropy and tripartite mutual information, we signal quantum thermalization and information scrambling in the $XX$ ladder. In contrast, we show that the $XX$ chain, as free fermions on a 1D lattice, fails to thermalize, and local information does not scramble in the integrable channel. Our experiments reveal ergodicity and scrambling in the controllable qubit ladder, and opens the door to further investigations on the thermodynamics and chaos in quantum many-body systems., Comment: 5 pages, 4 figures, and supplementary materials with 10 pages, 3 tables and 14 figures
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- 2021
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21. Experimental characterization of quantum many-body localization transition
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Gong, Ming, Neto, Gentil D. de Moraes, Zha, Chen, Wu, Yulin, Rong, Hao, Ye, Yangsen, Li, Shaowei, Zhu, Qingling, Wang, Shiyu, Zhao, Youwei, Liang, Futian, Lin, Jin, Xu, Yu, Peng, Cheng-Zhi, Deng, Hui, Bayat, Abolfazl, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics ,Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Strongly Correlated Electrons - Abstract
As strength of disorder enhances beyond a threshold value in many-body systems, a fundamental transformation happens through which the entire spectrum localizes, a phenomenon known as many-body localization. This has profound implications as it breaks down fundamental principles of statistical mechanics, such as thermalization and ergodicity. Due to the complexity of the problem, the investigation of the many-body localization transition has remained a big challenge. The experimental exploration of the transition point is even more challenging as most of the proposed quantities for studying such effect are practically infeasible. Here, we experimentally implement a scalable protocol for detecting the many-body localization transition point, using the dynamics of a $N=12$ superconducting qubit array. We show that the sensitivity of the dynamics to random samples becomes maximum at the transition point which leaves its fingerprints in all spatial scales. By exploiting three quantities, each with different spatial resolution, we identify the transition point with excellent match between simulation and experiment. In addition, one can detect the evidence of mobility edge through slight variation of the transition point as the initial state varies. The protocol is easily scalable and can be performed across various physical platforms., Comment: 7 pages and 4 figures together with supplementary materials
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- 2020
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22. Experimental Quantum Generative Adversarial Networks for Image Generation
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Huang, He-Liang, Du, Yuxuan, Gong, Ming, Zhao, Youwei, Wu, Yulin, Wang, Chaoyue, Li, Shaowei, Liang, Futian, Lin, Jin, Xu, Yu, Yang, Rui, Liu, Tongliang, Hsieh, Min-Hsiu, Deng, Hui, Rong, Hao, Peng, Cheng-Zhi, Lu, Chao-Yang, Chen, Yu-Ao, Tao, Dacheng, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics ,Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Quantum machine learning is expected to be one of the first practical applications of near-term quantum devices. Pioneer theoretical works suggest that quantum generative adversarial networks (GANs) may exhibit a potential exponential advantage over classical GANs, thus attracting widespread attention. However, it remains elusive whether quantum GANs implemented on near-term quantum devices can actually solve real-world learning tasks. Here, we devise a flexible quantum GAN scheme to narrow this knowledge gap, which could accomplish image generation with arbitrarily high-dimensional features, and could also take advantage of quantum superposition to train multiple examples in parallel. For the first time, we experimentally achieve the learning and generation of real-world hand-written digit images on a superconducting quantum processor. Moreover, we utilize a gray-scale bar dataset to exhibit the competitive performance between quantum GANs and the classical GANs based on multilayer perceptron and convolutional neural network architectures, respectively, benchmarked by the Fr\'echet Distance score. Our work provides guidance for developing advanced quantum generative models on near-term quantum devices and opens up an avenue for exploring quantum advantages in various GAN-related learning tasks., Comment: This work was completed in 2019, and the first version of manuscript was submitted to the journal in January 2020
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- 2020
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23. Emulating quantum teleportation of a Majorana zero mode qubit
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Huang, He-Liang, Narozniak, Marek, Liang, Futian, Zhao, Youwei, Castellano, Anthony D., Gong, Ming, Wu, Yulin, Wang, Shiyu, Lin, Jin, Xu, Yu, Deng, Hui, Rong, Hao, Dowling, Jonathan P., Peng, Cheng-Zhi, Byrnes, Tim, Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics - Abstract
Topological quantum computation based on anyons is a promising approach to achieve fault-tolerant quantum computing. The Majorana zero modes in the Kitaev chain are an example of non-Abelian anyons where braiding operations can be used to perform quantum gates. Here we perform a quantum simulation of topological quantum computing, by teleporting a qubit encoded in the Majorana zero modes of a Kitaev chain. The quantum simulation is performed by mapping the Kitaev chain to its equivalent spin version, and realizing the ground states in a superconducting quantum processor. The teleportation transfers the quantum state encoded in the spin-mapped version of the Majorana zero mode states between two Kitaev chains. The teleportation circuit is realized using only braiding operations, and can be achieved despite being restricted to Clifford gates for the Ising anyons. The Majorana encoding is a quantum error detecting code for phase flip errors, which is used to improve the average fidelity of the teleportation for six distinct states from $70.76 \pm 0.35 \% $ to $84.60 \pm 0.11 \%$, well beyond the classical bound in either case., Comment: comments are welcome
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- 2020
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24. Ergodic-localized junctions in a periodically-driven spin chain
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Zha, Chen, Bastidas, V. M., Gong, Ming, Wu, Yulin, Rong, Hao, Yang, Rui, Ye, Yangsen, Li, Shaowei, Zhu, Qingling, Wang, Shiyu, Zhao, Youwei, Liang, Futian, Lin, Jin, Xu, Yu, Peng, Cheng-Zhi, Schmiedmayer, Jorg, Nemoto, Kae, Deng, Hui, Munro, W. J., Zhu, Xiaobo, and Pan, Jian-Wei
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Quantum Physics ,Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter - Statistical Mechanics ,Condensed Matter - Strongly Correlated Electrons - Abstract
We report the analogue simulation of an ergodiclocalized junction by using an array of 12 coupled superconducting qubits. To perform the simulation, we fabricated a superconducting quantum processor that is divided into two domains: a driven domain representing an ergodic system, while the second is localized under the effect of disorder. Due to the overlap between localized and delocalized states, for small disorder there is a proximity effect and localization is destroyed. To experimentally investigate this, we prepare a microwave excitation in the driven domain and explore how deep it can penetrate the disordered region by probing its dynamics. Furthermore, we performed an ensemble average over 50 realizations of disorder, which clearly shows the proximity effect. Our work opens a new avenue to build quantum simulators of driven-disordered systems with applications in condensed matter physics and material science
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- 2020
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25. Verification of a resetting protocol for an uncontrolled superconducting qubit
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Gong, Ming, Xu, Feihu, Li, Zheng-Da, Wang, Zizhu, Zhang, Yu-Zhe, Wu, Yulin, Li, Shaowei, Zhao, Youwei, Wang, Shiyu, Zha, Chen, Deng, Hui, Yan, Zhiguang, Rong, Hao, Liang, Futian, Lin, Jin, Xu, Yu, Guo, Cheng, Sun, Lihua, Castellano, Anthony D., Peng, Chengzhi, Chen, Yu-Ao, Zhu, Xiaobo, and Pan, Jian-Wei
- Subjects
Quantum Physics - Abstract
Quantum resetting protocols allow a quantum system to be sent to a state in the past by making it interact with quantum probes when neither the free evolution of the system nor the interaction is controlled. We experimentally verify the simplest non-trivial case of a quantum resetting protocol, known as the $\mathcal{W}_4$ protocol, with five superconducting qubits, testing it with different types of free evolutions and target-probe interactions. After projection, we obtained a reset state fidelity as high as $0.951$, and the process fidelity was found to be $0.792$. We also implemented 100 randomly-chosen interactions and demonstrated an average success probability of $0.323$ for $|1\rangle$ and $0.292$ for $|-\rangle$, experimentally confirmed the nonzero probability of success for unknown interactions; the numerical simulated values are about $0.3$. Our experiment shows that the simplest quantum resetting protocol can be implemented with current technologies, making such protocols a valuable tool in the eternal fight against unwanted evolution in quantum systems., Comment: 9 pages, 6 figures, 1 table + Supplementary Materials
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- 2019
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26. Experimental exploration of five-qubit quantum error correcting code with superconducting qubits
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Gong, Ming, Yuan, Xiao, Wang, Shiyu, Wu, Yulin, Zhao, Youwei, Zha, Chen, Li, Shaowei, Zhang, Zhen, Zhao, Qi, Liu, Yunchao, Liang, Futian, Lin, Jin, Xu, Yu, Deng, Hui, Rong, Hao, Lu, He, Benjamin, Simon C., Peng, Cheng-Zhi, Ma, Xiongfeng, Chen, Yu-Ao, Zhu, Xiaobo, and Pan, Jian-Wei
- Subjects
Quantum Physics - Abstract
Quantum error correction is an essential ingredient for universal quantum computing. Despite tremendous experimental efforts in the study of quantum error correction, to date, there has been no demonstration in the realisation of universal quantum error correcting code, with the subsequent verification of all key features including the identification of an arbitrary physical error, the capability for transversal manipulation of the logical state, and state decoding. To address this challenge, we experimentally realise the $[\![5,1,3]\!]$ code, the so-called smallest perfect code that permits corrections of generic single-qubit errors. In the experiment, having optimised the encoding circuit, we employ an array of superconducting qubits to realise the $[\![5,1,3]\!]$ code for several typical logical states including the magic state, an indispensable resource for realising non-Clifford gates. The encoded states are prepared with an average fidelity of $57.1(3)\%$ while with a high fidelity of $98.6(1)\%$ in the code space. Then, the arbitrary single-qubit errors introduced manually are identified by measuring the stabilizers. We further implement logical Pauli operations with a fidelity of $97.2(2)\%$ within the code space. Finally, we realise the decoding circuit and recover the input state with an overall fidelity of $74.5(6)\%$, in total with $92$ gates. Our work demonstrates each key aspect of the $[\![5,1,3]\!]$ code and verifies the viability of experimental realization of quantum error correcting codes with superconducting qubits., Comment: 6 pages, 4 figures + Supplementary Materials
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- 2019
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27. Demonstration of Adiabatic Variational Quantum Computing with a Superconducting Quantum Coprocessor
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Chen, Ming-Cheng, Gong, Ming, Xu, Xiao-Si, Yuan, Xiao, Wang, Jian-Wen, Wang, Can, Ying, Chong, Lin, Jin, Xu, Yu, Wu, Yulin, Wang, Shiyu, Deng, Hui, Liang, Futian, Peng, Cheng-Zhi, Benjamin, Simon C., Zhu, Xiaobo, Lu, Chao-Yang, and Pan, Jian-Wei
- Subjects
Quantum Physics - Abstract
Adiabatic quantum computing enables the preparation of many-body ground states. This is key for applications in chemistry, materials science, and beyond. Realisation poses major experimental challenges: Direct analog implementation requires complex Hamiltonian engineering, while the digitised version needs deep quantum gate circuits. To bypass these obstacles, we suggest an adiabatic variational hybrid algorithm, which employs short quantum circuits and provides a systematic quantum adiabatic optimisation of the circuit parameters. The quantum adiabatic theorem promises not only the ground state but also that the excited eigenstates can be found. We report the first experimental demonstration that many-body eigenstates can be efficiently prepared by an adiabatic variational algorithm assisted with a multi-qubit superconducting coprocessor. We track the real-time evolution of the ground and exited states of transverse-field Ising spins with a fidelity up that can reach about 99%., Comment: 12 pages, 4 figures
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- 2019
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28. Quantum neuronal sensing of quantum many-body states on a 61-qubit programmable superconducting processor
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Gong, Ming, Huang, He-Liang, Wang, Shiyu, Guo, Chu, Li, Shaowei, Wu, Yulin, Zhu, Qingling, Zhao, Youwei, Guo, Shaojun, Qian, Haoran, Ye, Yangsen, Zha, Chen, Chen, Fusheng, Ying, Chong, Yu, Jiale, Fan, Daojin, Wu, Dachao, Su, Hong, Deng, Hui, Rong, Hao, Zhang, Kaili, Cao, Sirui, Lin, Jin, Xu, Yu, Sun, Lihua, Guo, Cheng, Li, Na, Liang, Futian, Sakurai, Akitada, Nemoto, Kae, Munro, William J., Huo, Yong-Heng, Lu, Chao-Yang, Peng, Cheng-Zhi, Zhu, Xiaobo, and Pan, Jian-Wei
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- 2023
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29. Genuine 12-qubit entanglement on a superconducting quantum processor
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Gong, Ming, Chen, Ming-Cheng, Zheng, Yarui, Wang, Shiyu, Zha, Chen, Deng, Hui, Yan, Zhiguang, Rong, Hao, Wu, Yulin, Li, Shaowei, Chen, Fusheng, Zhao, Youwei, Liang, Futian, Lin, Jin, Xu, Yu, Guo, Cheng, Sun, Lihua, Castellano, Anthony D., Wang, Haohua, Peng, Chengzhi, Lu, Chao-Yang, Zhu, Xiaobo, and Pan, Jian-Wei
- Subjects
Quantum Physics - Abstract
We report the preparation and verification of a genuine 12-qubit entanglement in a superconducting processor. The processor that we designed and fabricated has qubits lying on a 1D chain with relaxation times ranging from 29.6 to 54.6 $\mu$s. The fidelity of the 12-qubit entanglement was measured to be above $0.5544\pm0.0025$, exceeding the genuine multipartite entanglement threshold by 21 statistical standard deviations. Our entangling circuit to generate linear cluster states is depth-invariant in the number of qubits and uses single- and double-qubit gates instead of collective interactions. Our results are a substantial step towards large-scale random circuit sampling and scalable measurement-based quantum computing.
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- 2018
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30. Control and Readout Software in Superconducting Quantum Computing
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Guo, Cheng, Liang, FuTian, Lin, Jin, Xu, Yu, Sun, LiHua, Liao, ShengKai, Peng, ChengZhi, and Liu, WeiYue
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Electrical Engineering and Systems Science - Signal Processing ,Quantum Physics - Abstract
Digital-to-analog converter (DAC) and analog-to-digital converter (ADC) as an important part of the superconducting quantum computer are used to control and readout the qubit states. The complexity of instrument manipulation increases rapidly as the number of qubits grows. Low-speed data transmission, imperfections of realistic instruments and coherent control of qubits are gradually highlighted which have become the bottlenecks in scaling up the number of qubits. To deal with the challenges, we present a solution in this study. Based on client-server (C/S) model, we develop two servers called Readout Server and Control Server for managing self-innovation digitizer, arbitrary waveform generator (AWG) and ultra-precision DC source which enable to implement physical experiments rapidly. Both Control Server and Readout Server consist three parts: resource manager, waveform engine and communication interface. The resource manager maps the resources of separate instruments to a unified virtual instrument and automatically aligns the timing of waveform channels. The waveform engine generates and processes the waveform for AWGs or captures and analyzes the data from digitizers. The communication interface is responsible for sending and receiving data in an efficient manner. We design a simple data link protocol for digitizers and a multi-threaded communication mechanism for AWGs. By using different network optimization strategies, both data transmission speed of digitizers and AWGs reach hundreds of Mbps through a single Gigabit-NIC., Comment: 4 pages, 7 figures, 1 table
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- 2018
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31. Single Photon Source Driver Designed in ASIC
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Feng, Bo, Liang, Futian, Wang, Xinzhe, Zhu, Chenxi, Zhu, Yulong, and Jin, Ge
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Physics - Applied Physics ,Quantum Physics - Abstract
The single photon source is an important part of the quantum key distribution (QKD) system. At present, the single photon source is large in size and complex in structure for a lot of discrete components which are used. The miniaturization of the photon source is the tendency of the QKD system. We integrate all laser driver electronic module into one single ASIC chip, which can be used to drive the 1550nm DFB laser in random pulse mode and it can greatly reduce the volume of the single photon source. We present the design of the chip named LSD2018 and simulation results before the tape-out. The LSD2018 is fabricated with a 130 nm CMOS process and consists of a discriminator, an adjustable pulse generator, a bandgap reference, an SPI bus, and an amplitude-adjustable current pulse driver. The electronic random pulse from the driver can go 20mA to 120mA in amplitude and 400ps to 4ns in pulse width. The parameters can be set by an SPI bus.
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- 2018
32. Ultra-precision DC source for Superconducting Quantum Computer
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Liang, Futian, Miao, Peng, Lin, Jin, Xu, Yu, Guo, Cheng, Sun, Lihua, Liao, ShengKai, Jin, Ge, and Peng, ChengZhi
- Subjects
Physics - Instrumentation and Detectors ,Quantum Physics - Abstract
The Superconducting Quantum Computing (SQC) is one of the most promising quantum computing techniques. The SQC requires precise control and acquisition to operate the superconducting qubits. The ultra-precision DC source is used to provide a DC bias for the qubit to work at its operation point. With the development of the multi-qubit processor, to use the commercial precise DC source device is impossible for its large volume occupation. We present our ultra-precision DC source which is designed for SQC experiments in this paper. The DC source contains 12 channels in 1U 19~inch crate. The performances of our DC source strongly beat the commercial devices. The output rang is -7~V to +7~V with 20~mA maximum output current. The Vpp of the output noise is 3~uV, and the standard deviation is 0.497~uV. The temperature coefficient is less than 1~ppm/$^{\circ}$C in 14~V range. The primary results show that the total drift of the output within 48h at an A/C room temperature environment is 40~uV which equal to 2.9~ppm/48h. We are still trying to optimize the channel density and long-term drift / stability., Comment: 3 pages, 4 figures, conference Realtime 2018
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- 2018
33. Logical Magic State Preparation with Fidelity beyond the Distillation Threshold on a Superconducting Quantum Processor
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Ye, Yangsen, primary, He, Tan, additional, Huang, He-Liang, additional, Wei, Zuolin, additional, Zhang, Yiming, additional, Zhao, Youwei, additional, Wu, Dachao, additional, Zhu, Qingling, additional, Guan, Huijie, additional, Cao, Sirui, additional, Chen, Fusheng, additional, Chung, Tung-Hsun, additional, Deng, Hui, additional, Fan, Daojin, additional, Gong, Ming, additional, Guo, Cheng, additional, Guo, Shaojun, additional, Han, Lianchen, additional, Li, Na, additional, Li, Shaowei, additional, Li, Yuan, additional, Liang, Futian, additional, Lin, Jin, additional, Qian, Haoran, additional, Rong, Hao, additional, Su, Hong, additional, Wang, Shiyu, additional, Wu, Yulin, additional, Xu, Yu, additional, Ying, Chong, additional, Yu, Jiale, additional, Zha, Chen, additional, Zhang, Kaili, additional, Huo, Yong-Heng, additional, Lu, Chao-Yang, additional, Peng, Cheng-Zhi, additional, Zhu, Xiaobo, additional, and Pan, Jian-Wei, additional
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- 2023
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34. Active inductor shunt peaking in high-speed VCSEL driver design
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Liang, Futian, Gong, Datao, Hou, Suen, Liu, Chonghan, Liu, Tiankuan, Su, Da-Shung, Teng, Ping-Kun, Xiang, Annie, Ye, Jingbo, and Jin, Ge
- Subjects
Physics - Instrumentation and Detectors ,High Energy Physics - Experiment - Abstract
An all transistor active inductor shunt peaking structure has been used in a prototype of 8-Gbps high-speed VCSEL driver which is designed for the optical link in ATLAS liquid Argon calorimeter upgrade. The VCSEL driver is fabricated in a commercial 0.25-um Silicon-on-Sapphire (SoS) CMOS process for radiation tolerant purpose. The all transistor active inductor shunt peaking is used to overcome the bandwidth limitation from the CMOS process. The peaking structure has the same peaking effect as the passive one, but takes a small area, does not need linear resistors and can overcome the process variation by adjust the peaking strength via an external control. The design has been tapped out, and the prototype has been proofed by the preliminary electrical test results and bit error ratio test results. The driver achieves 8-Gbps data rate as simulated with the peaking. We present the all transistor active inductor shunt peaking structure, simulation and test results in this paper., Comment: 4 pages, 6 figures and 1 table, Submitted to 'Chinese Physics C'
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- 2013
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35. Design of Wireless Data Acquisition System in Nuclear Physics Experiment Based on ZigBee
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He, Zhou, Chen, Lian, Li, Feng, Liang, Futian, Jin, Ge, and Liu, Zhen-An, editor
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- 2018
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36. A co-simulation of superconducting qubit and control electronics for quantum computing
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Jin, Zhanhong, primary, Li, Shaowei, additional, Wang, Xinzhe, additional, Liang, Futian, additional, and Peng, Cheng-Zhi, additional
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- 2023
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37. Verification of a resetting protocol for an uncontrolled superconducting qubit
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Gong, Ming, Xu, Feihu, Li, Zheng-Da, Wang, Zizhu, Zhang, Yu-Zhe, Wu, Yulin, Li, Shaowei, Zhao, Youwei, Wang, Shiyu, Zha, Chen, Deng, Hui, Yan, Zhiguang, Rong, Hao, Liang, Futian, Lin, Jin, Xu, Yu, Guo, Cheng, Sun, Lihua, Castellano, Anthony D., Peng, Cheng-Zhi, Chen, Yu-Ao, Zhu, Xiaobo, and Pan, Jian-Wei
- Published
- 2020
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38. Experimental Simulation of Larger Quantum Circuits with Fewer Superconducting Qubits
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Ying, Chong, primary, Cheng, Bin, additional, Zhao, Youwei, additional, Huang, He-Liang, additional, Zhang, Yu-Ning, additional, Gong, Ming, additional, Wu, Yulin, additional, Wang, Shiyu, additional, Liang, Futian, additional, Lin, Jin, additional, Xu, Yu, additional, Deng, Hui, additional, Rong, Hao, additional, Peng, Cheng-Zhi, additional, Yung, Man-Hong, additional, Zhu, Xiaobo, additional, and Pan, Jian-Wei, additional
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- 2023
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39. Experimental Simulation of Larger Quantum Circuits with Fewer Superconducting Qubits
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Ying, Chong (author), Cheng, Bin (author), Zhao, Youwei (author), Huang, He Liang (author), Zhang, Y.N. (author), Gong, Ming (author), Wu, Yulin (author), Wang, S. (author), Liang, Futian (author), Ying, Chong (author), Cheng, Bin (author), Zhao, Youwei (author), Huang, He Liang (author), Zhang, Y.N. (author), Gong, Ming (author), Wu, Yulin (author), Wang, S. (author), and Liang, Futian (author)
- Abstract
Although near-term quantum computing devices are still limited by the quantity and quality of qubits in the so-called NISQ era, quantum computational advantage has been experimentally demonstrated. Moreover, hybrid architectures of quantum and classical computing have become the main paradigm for exhibiting NISQ applications, where low-depth quantum circuits are repeatedly applied. In order to further scale up the problem size solvable by the NISQ devices, it is also possible to reduce the number of physical qubits by "cutting"the quantum circuit into different pieces. In this work, we experimentally demonstrated a circuit-cutting method for simulating quantum circuits involving many logical qubits, using only a few physical superconducting qubits. By exploiting the symmetry of linear-cluster states, we can estimate the effectiveness of circuit-cutting for simulating up to 33-qubit linear-cluster states, using at most 4 physical qubits for each subcircuit. Specifically, for the 12-qubit linear-cluster state, we found that the experimental fidelity bound can reach as much as 0.734, which is about 19% higher than a direct implementation on the same 12-qubit superconducting processor. Our results indicate that circuit-cutting represents a feasible approach of simulating quantum circuits using much fewer qubits, while achieving a much higher circuit fidelity., QID/Dobrovitski Group
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- 2023
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40. A laser source driver in 0.18 μm SiGe BiCMOS technology for high speed quantum key distribution
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Zhu, Yulong, primary, Wang, Xinzhe, additional, Zhu, Chenxi, additional, Chen, Zhaoyuan, additional, Huang, Zhisheng, additional, Jin, Zhanhong, additional, Li, Yang, additional, Liang, Futian, additional, Liao, Shengkai, additional, Peng, Chengzhi, additional, and Jin, Ge, additional
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- 2022
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41. The ATLAS Experiment at the CERN Large Hadron Collider: A Description of the Detector Configuration for Run 3
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Aad, Georges, Abbott, Braden Keim, Abbott, Dale, Abdallah, Jalal, Abeling, Kira, Abidi, Haider, Aboulhorma, Asmaa, Abovyan, Sergey, Abramowicz, Halina, Abreu, Henso, Abulaiti, Yiming, Abusleme, Angel, Acharya, Bobby Samir, Adam Bourdarios, Claire, Adamczyk, Leszek, Adamek, Lukas, Addepalli, Sagar, Adelman, Jahred, Adersberger, Michael, Adiguzel, Aytul, Adorni Braccesi Chiassi, Sofia, Adye, Tim, Affolder, Tony, Afik, Yoav, Agaras, Merve Nazlim, Agarwala, Jinky, Aggarwal, Anamika, Agheorghiesei, Catalin, Aguilar Saavedra, Juan Antonio, Ahmad, Ammara, Ahmadov, Faig, Ahmed, Waleed Syed, Ahuja, Sudha, Ai, Xiaocong, Aielli, Giulio, Ait Tamlihat, Malak, Aitbenchikh, Brahim, Aizenberg, Iakov, Akbiyik, Melike, Akesson, Torsten, Akhperjanyan, Gevorg, Akimov, Andrei, Al Khoury, Konie, Alberghi, Gian Luigi, Albert, Justin, Albicocco, Pietro, Alderweireldt, Sara, Aleksa, Martin, Alexandrov, Igor, Alexa, Calin, Alexopoulos, Theodoros, Alfonsi, Alice, Alfonsi, Fabrizio, Alhroob, Muhammad, Ali, Babar, Ali, Shahzad, Aliev, Malik, Alimonti, Gianluca, Alkakhi, Wael, Allaire, Corentin, Allard, Jérôme, Allbrooke, Benedict, Allendes Flores, Cristian Andres, Allport, Philip Patrick, Aloisio, Alberto, Alonso, Francisco, Alpigiani, Cristiano, Alvarez Estevez, Manuel, Alvarez Gonzalez, Barbara, Alviggi, Mariagrazia, Aly, Mohamed, Do Amaral Coutinho, Yara, Ambler, Alessandro, Amelung, Christoph, Amerl, Maximilian, Ames, Christoph, Amidei, Dante, Amor dos Santos, Susana Patricia, Amos, Kieran Robert, Ananiev, Viktor, Anastopoulos, Christos, Andari, Nansi, Andeen, Timothy Robert, Anders, John Kenneth, Andrean, Stefio Yosse, Andreazza, Attilio, Anelli, Christopher Ryan, Angelidakis, Stylianos, Angerami, Aaron, Anisenkov, Alexey, Annovi, Alberto, Antel, Claire, Anthony, Matthew Thomas, Antipov, Egor, Antonelli, Mario, Antonescu, Mihai, Antrim, Daniel Joseph, Anulli, Fabio, Aoki, Masato, Aoki, Takumi, Aparisi Pozo, Javier Alberto, Aparo, Marco, Aperio Bella, Ludovica, Appelt, Christian, Aranzabal Barrio, Nordin, Araujo Ferraz, Victor, Arcangeletti, Chiara, Arce, Ayana Tamu, Arena, Eloisa, Arguin, Jean-Francois, Argyris, Anastasios, Argyropoulos, Spyros, Arling, Jan-Hendrik, Armbruster, Aaron James, Armijo, Charles Edward, Arnaez, Olivier, Arnold, Hannah, Arrubarrena Tame, Zulit Paola, Artoni, Giacomo, Asada, Haruka, Asai, Kanae, Asai, Shoji, Asbah, Nedaa Alexandra, Assahsah, Jihad, Assamagan, Ketevi Adikle, Astalos, Robert, Atkin, Ryan Justin, Atkinson, Markus Julian, Atlay, Naim Bora, Atmani, Hicham, Atmasiddha, Prachi, Aubernon, Erwann, Augsten, Kamil, Aune, Aune, Auricchio, Silvia, Auriol, Adrien, Aust, Florian, Austrup, Volker Andreas, Avner, Gal, Avolio, Giuseppe, Avoni, Giulio, Axen, David, Axiotis, Konstantinos, Aydiner, Pelin, Ayoub, Mohamad Kassem, Azaryan, Tatiana, Azuelos, Georges, Babal, Dominik, Bachacou, Henri, Bachas, Konstantinos, Bachiu, Alexander, Backman, Karl Filip, Badea, Anthony, Bagnaia, Paolo, Bahmani, Marzieh, Bailey, Adam, Bailey, Virginia, Baines, 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Emerman, Alex, Enari, Yuji, Ene, Irina, Epari, Shalini, Erdmann, Johannes, Ereditato, Antonio, Erland, Paula Agnieszka, Errenst, Martin, Escalier, Marc, Escobar Ibanez, Carlos, Etzion, Erez, Gaspar de Andrade Evans, Guiomar, Evans, Hal, Evans, Meirin Oan, Eyring, Andreas, Ezhilov, Aleksei, Ezzarqtouni, Sanae, Fabbri, Federica, Fabbri, Laura, Facini, Gabriel, Fadeyev, Vitaliy, Fakhrutdinov, Rinat, Falchieri, Davide, Falciano, Speranza, Falda Coelho, Luis, Falke, Peter Johannes, Falke, Saskia, Falou, Aboud, Falsetti, Gregorio, Faltova, Jana, Fan, Yunyun, Fang, Yaquan, Fanourakis, Georgios, Fanti, Marcello, Faraj, Mohammed, Farazpay, Zahra, Farbin, Amir, Farilla, Ada, Farina, Edoardo Maria, Farooque, Trisha, Farrell, Jason, Farrington, Sinead, Fassi, Farida, Fassouliotis, Dimitris, Faszer, Wayne, Faucci Giannelli, Michele, Fausten, Camille, Favareto, Andrea, Fawcett, William James, Fayard, Louis, Febvre, Damien Romaric, Federicova, Pavla, Fedin, Oleg, Fedotov, Gleb, Feickert, Matthew, 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Valentina, Veen, Michiel Jan, Veliscek, Iza, Veloce, Laurelle Maria, Veloso, Filipe, Veneziano, Stefano, Ventura, Andrea, Venturi, Nicola, Verbytskyi, Andrii, Vercellati, Filippo, Verducci, Monica, Vergain, Maurice, Vergis, Christos, Verissimo de Araujo, Micael, Verkerke, Wouter, Verlaat, Bart, Vermeulen, Jos, Vernieri, Caterina, Verschuuren, Pim Jordi, Vessella, Makayla, Vetterli, Michel Joseph, Vgenopoulos, Andreas, Viaux Maira, Nicolas, Vichoudis, Paschalis, Vickey, Trevor, Vickey Boeriu, Oana, Viehhauser, Georg, Vieira de Souza, Julio, Vigani, Luigi, Vigeolas, Eric, Villa, Mauro, Villaplana, Miguel, Villhauer, Elena Michelle, Vilucchi, Elisabetta, Vincter, Manuella, Vinogradov, Mikhail, Virdee, Govindraj Singh, Vishwakarma, Akanksha, Vittori, Camilla, Vivarelli, Iacopo, Vlachos, Sotiris, Vladimirov, Vangelis, Voevodina, Elena, Vogel, Fabian, Vogt, Sven, Vokac, Petr, von Ahnen, Janik, von Torne, Eckhard, Vormwald, Benedikt, Vorobel, Vit, Vorobev, Konstantin, Vos, Marcel, Voss, Katharina, Vossebeld, Joost, Vozak, Matous, Vozdecky, Lubos, Vranjes, Nenad, Vranjes Milosavljevic, Marija, Vreeswijk, Marcel, Vuillemin, Cyrille, Vuillermet, Raphael, Vujinovic, Olivera, Vukotic, Ilija, Wada, Sayaka, Wagner, Cooper, Wagner, Wolfgang, Wahdan, Shayma, Wahlberg, Hernan Pablo, Wakasa, Rena, Wakida, Moe, Walbrecht, Verena Maria, Walder, James William, Walker, Rodney, Walker, Robert Bond, Walkowiak, Wolfgang, Wang, Ann Miao, Wang, Alex Zeng, Wang, Chen, Wang, Chenliang, Wang, Haichen, Wang, Jiawei, Wang, Jinglu, Wang, Jinhong, Wang, Qiang, Wang, Renjie, Wang, Rongkun, Wang, Rui, Wang, Song-Ming, Wang, Shuanggeng, Wang, Tao, Wang, Weitao, Wang, Xu, Wang, Xin, Wang, Xinxin, Wang, Xiaoning, Wang, Xi, Wang, Yufeng, Wang, Yuhao, Wang, Zirui, Wang, Zhen, Wang, Zhichen, Warburton, Andreas, Ward, Robert James, Warrack, Neil, Watson, Alan, Watson, Harriet, Watson, Miriam, Watts, Gordon, Waugh, Benedict Martin, Weaverdyck, Curtis John, Webb, Aaron, Weber, Christian, Weber, Hannsjorg, Weber, Jens, Weber, Maarten, Weber, Michele, Weber, Stephen, Weber, Sebastian Mario, Wei, Chuanshun, Wei, Yingjie, Weidberg, Anthony, Weingarten, Jens, Weirich, Marcel, Weiser, Christian, Welch, Steven, Wells, Craig John, Wells, Pippa, Wenaus, Torre, Wendland, Bjoern, Wengler, Thorsten, Wenke, Nina Stephanie, Wensing, Marius, Wermes, Norbert, Wessels, Martin, Whalen, Kate, Wharton, Andrew Mark, White, Aaron Stephen, White, Andrew, White, Martin John, Whiteson, Daniel, Wickremasinghe, Lakmin, Wiedenmann, Werner, Wiel, Christian, Wielers, Monika, Wiglesworth, Craig, Wiik-Fuchs, Liv, Wilbern, Daniel John, Wilkens, Henric, Williams, Daniel, Williams, Hugh, Williams, Sarah Louise, Willocq, Stephane, Windischhofer, Philipp, Wingerter, Isabelle, Winklmeier, Frank, Winter, Benedict Tobias, Winter, Joshua Krystian, Wittgen, Matthias, Wittig, Tobias, Wobisch, Markus, Woelker, Ricardo, Wollrath, Julian, Wolniewicz, Kevin, Wolter, Marcin, Wolters, Helmut, Wong, Vincent Wai Sum, Wongel, Alicia, Worm, Steven, Wosiek, Barbara Krystyna, Wotschack, Joerg, Woyshville, Aaron, Wozniak, Krzysztof Wieslaw, Wraight, Kenneth Gibb, Wu, Jinfei, Wu, Minlin, Wu, Mengqing, Wu, Sau Lan, Wu, Weihao, Wu, Wenjing, Wu, Xin, Wu, Yusheng, Wu, Zhibo, Wurzinger, Jonas, Wyatt, Terry, Wynne, Benjamin Michael, Xella, Stefania, Xia, Ligang, Xia, Mingming, Xiang, Jianhuan, Xiao, Xiong, Xie, Mingzhe, Xie, Xiangyu, Xin, Shuiting, Xiong, Junwen, Xiotidis, Ioannis, Xu, Da, Xu, Hanlin, Xu, Hao, Xu, Lailin, Xu, Riley, Xu, Rui, Xu, Tairan, Xu, Wenhao, Xu, Yue, Xu, Zhongyukun, Xu, Zijun, Yabsley, Bruce Donald, Yacoob, Sahal, Yamaguchi, Naoki, Yamaguchi, Yohei, Yamamoto, Shimpei, Yamauchi, Hiroki, Yamazaki, Tomohiro, Yamazaki, Yuji, Yan, Jun, Yan, Siyuan, Yan, Zhen, Yandyan, Armen, Yang, Haijun, Yang, Hongtao, Yang, Siqi, Yang, Tianyi, Yang, Xiao, Yang, Xuan, Yang, Yi-Lin, Yang, Zhe, Yao, Lin, Yao, Wei-Ming, Yap, Yee Chinn, Ye, Hanfei, Ye, Hua, Ye, Jingbo, Ye, Shuwei, Ye, Xinmeng, Yeh, Yoran, Yeletskikh, Ivan, Yeo, Beom Ki, Yexley, Melissa, Yildiz, Cenk, Yin, Pengqi, Yin, Weigang, Yorita, Kohei, Younas, Sulman, Young, Christopher, Young, Charlie, Yu, Yi, Yuan, Man, Yuan, Rui, Yue, Luzhan, Yue, Xiaoguang, Yukhimchuk, Sergey, Zaazoua, Mohamed, Zabinski, Bartlomiej Henryk, Zachariadou, Katerina, Zaghia, Hamid, Zahradnik, Vit, Zaid, Estifa'A, Zakareishvili, Tamar, Zakharchuk, Nataliia, Zambito, Stefano, Zamora Saa, Jilberto Antonio, Zang, Jiaqi, Zanzi, Daniele, Zaplatilek, Ota, Zeissner, Sonja Verena, Zeitnitz, Christian, Zeng, Jiancong, Zenger, Todd, Zenin, Oleg, Zenis, Tibor, Zenz, Seth, Zerradi, Soufiane, Zerwas, Dirk, Zhai, Mingjie, Zhang, Bowen, Zhang, Dengfeng, Zhang, Jie, Zhang, Jinlong, Zhang, Kaili, Zhang, Lei, Zhang, Peng, Zhang, Rui, Zhang, Shuzhou, Zhang, Tingyu, Zhang, Xiangke, Zhang, Xueyao, Zhang, Yulei, Zhang, Zhicai, Zhang, Zhiqing Philippe, Zhao, Haoran, Zhao, Pingchuan, Zhao, Tongbin, Zhao, Xiandong, Zhao, Yuzhan, Zhao, Zhengguo, Zhemchugov, Alexey, Zheng, Xiangxuan, Zheng, Zhi, Zhivun, Elena, Zhong, Dewen, Zhou, Bing, Zhou, Chen, Zhou, Hao, Zhou, Ning, Zhou, Shun, Zhou, You, Zhu, Chengguang, Zhu, Chenzheng, Zhu, Heling, Zhu, Hongbo, Zhu, Junjie, Zhu, Yifan, Zhu, Yingchun, Zhuang, Xuai, Zhukov, Konstantin, Zhulanov, Vladimir, Zibell, Andre, Zich, Jan, Zimine, Nikolai, Zimmermann, Jorg, Zimmermann, Stephanie Ulrike, Zinsser, Joachim, Ziolkowski, Michal, Zivkovic, Lidija, Zoccoli, Antonio, Zoch, Knut, Zolkin, Igor, Zonca, Eric, Zorbas, Theodore, Zormpa, Olga, Zou, Wenkai, Zuk, George, Zullo, Antonio, Zwalinski, Lukasz, Centre de Physique des Particules de Marseille (CPPM), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy de Physique des Particules (LAPP), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (IJCLab), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), and ATLAS
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Physics - Instrumentation and Detectors ,CERN Lab ,accelerator ,data acquisition ,diffraction ,gap ,FOS: Physical sciences ,scintillation counter, trigger ,electron, energy resolution ,High Energy Physics - Experiment ,p p, cross section ,High Energy Physics - Experiment (hep-ex) ,pixel ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,muon, trigger ,CERN LHC Coll, upgrade ,[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,forward spectrometer ,track data analysis, vertex ,background ,photon ,trigger, electronics ,calorimeter, liquid argon ,Instrumentation and Detectors (physics.ins-det) ,ATLAS ,crossing ,heavy ion ,pile-up ,trigger, threshold ,luminosity, monitoring ,Particle Physics - Experiment ,signature ,Micromegas ,performance - Abstract
The ATLAS detector is installed in its experimental cavern at Point 1 of the CERN Large Hadron Collider. During Run 2 of the LHC, a luminosity of $\mathcal{L}=2\times 10^{34}\mathrm{cm}^{-2}\mathrm{s}^{-1}$ was routinely achieved at the start of fills, twice the design luminosity. For Run 3, accelerator improvements, notably luminosity levelling, allow sustained running at an instantaneous luminosity of $\mathcal{L}=2\times 10^{34}\mathrm{cm}^{-2}\mathrm{s}^{-1}$, with an average of up to 60 interactions per bunch crossing. The ATLAS detector has been upgraded to recover Run 1 single-lepton trigger thresholds while operating comfortably under Run 3 sustained pileup conditions. A fourth pixel layer 3.3 cm from the beam axis was added before Run 2 to improve vertex reconstruction and $b$-tagging performance. New Liquid Argon Calorimeter digital trigger electronics, with corresponding upgrades to the Trigger and Data Acquisition system, take advantage of a factor of 10 finer granularity to improve triggering on electrons, photons, taus, and hadronic signatures through increased pileup rejection. The inner muon endcap wheels were replaced by New Small Wheels with Micromegas and small-strip Thin Gap Chamber detectors, providing both precision tracking and Level-1 Muon trigger functionality. Tile Calorimeter scintillation counters were added to improve electron energy resolution and background rejection. Upgrades to Minimum Bias Trigger Scintillators and Forward Detectors improve luminosity monitoring and enable total proton-proton cross section, diffractive physics, and heavy ion measurements. These upgrades are all compatible with operation in the much harsher environment anticipated after the High-Luminosity upgrade of the LHC and are the first steps towards preparing ATLAS for the High-Luminosity upgrade of the LHC. This paper describes the Run 3 configuration of the ATLAS detector., Comment: 233 pages in total, author list starting page 214, 116 figures, 15 tables, submitted to JINST. All figures including auxiliary figures are available at http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/GENR-2019-02/
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- 2023
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42. Cryogenic Characterization of Commercial Devices for Application of Quantum Computing Electronics
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Jin, Zhanhong, primary, Wang, Xinzhe, additional, Liang, Futian, additional, and Peng, Cheng-Zhi, additional
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- 2022
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43. Realization of an Error-Correcting Surface Code with Superconducting Qubits
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Zhao, Youwei, primary, Ye, Yangsen, additional, Huang, He-Liang, additional, Zhang, Yiming, additional, Wu, Dachao, additional, Guan, Huijie, additional, Zhu, Qingling, additional, Wei, Zuolin, additional, He, Tan, additional, Cao, Sirui, additional, Chen, Fusheng, additional, Chung, Tung-Hsun, additional, Deng, Hui, additional, Fan, Daojin, additional, Gong, Ming, additional, Guo, Cheng, additional, Guo, Shaojun, additional, Han, Lianchen, additional, Li, Na, additional, Li, Shaowei, additional, Li, Yuan, additional, Liang, Futian, additional, Lin, Jin, additional, Qian, Haoran, additional, Rong, Hao, additional, Su, Hong, additional, Sun, Lihua, additional, Wang, Shiyu, additional, Wu, Yulin, additional, Xu, Yu, additional, Ying, Chong, additional, Yu, Jiale, additional, Zha, Chen, additional, Zhang, Kaili, additional, Huo, Yong-Heng, additional, Lu, Chao-Yang, additional, Peng, Cheng-Zhi, additional, Zhu, Xiaobo, additional, and Pan, Jian-Wei, additional
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- 2022
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44. Data Acquisition System for the 3He Position-Sensitive Proportional Counter Based Neutron Dosimeter
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Liang, Futian, Chen, Lian, Li, Feng, and Jin, Ge
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- 2012
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45. Design and Verification of an FPGA-based Bit Error Rate Tester
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Xiang, Annie, Gong, Datao, Hou, Suen, Liu, Chonghan, Liang, Futian, Liu, Tiankuan, Su, Da-Shung, Teng, Ping-Kun, and Ye, Jingbo
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- 2012
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46. Neutron Detectors Array System for ICF Experiments
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Li, Feng, Jiang, Xiao, Chen, Lian, Liang, Futian, and Jina, Ge
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- 2012
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47. Observation of Thermalization and Information Scrambling in a Superconducting Quantum Processor
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Zhu, Qingling, primary, Sun, Zheng-Hang, additional, Gong, Ming, additional, Chen, Fusheng, additional, Zhang, Yu-Ran, additional, Wu, Yulin, additional, Ye, Yangsen, additional, Zha, Chen, additional, Li, Shaowei, additional, Guo, Shaojun, additional, Qian, Haoran, additional, Huang, He-Liang, additional, Yu, Jiale, additional, Deng, Hui, additional, Rong, Hao, additional, Lin, Jin, additional, Xu, Yu, additional, Sun, Lihua, additional, Guo, Cheng, additional, Li, Na, additional, Liang, Futian, additional, Peng, Cheng-Zhi, additional, Fan, Heng, additional, Zhu, Xiaobo, additional, and Pan, Jian-Wei, additional
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- 2022
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48. A stroll through a 62 qubit quantum processor
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Munro, William J., primary, Gong, Ming, additional, Wang, Shiyu, additional, Zha, Chen, additional, Chen, Ming-Cheng, additional, Huang, He-Liang, additional, Wu, Yulin, additional, Zhu, Qingling, additional, Zhao, Youwei, additional, Li, Shaowei, additional, Guo, Shaojun, additional, Qian, Haoran, additional, Ye, Yangsen, additional, Chen, Fusheng, additional, Ying, Chong, additional, Yu, Jiale, additional, Fan, Daojin, additional, Wu, Dachao, additional, Su, Hong, additional, Deng, Hui, additional, Rong, Hao, additional, Zhang, Kaili, additional, Cao, Sirui, additional, Lin, Jin, additional, Xu, Yu, additional, Sun, Lihua, additional, Guo, Cheng, additional, Li, Na, additional, Liang, Futian, additional, Bastidas, Victor, additional, Nemoto, Kae, additional, Huo, Yong-Heng, additional, Lu, Chao-Yang, additional, Peng, Cheng-Zhi, additional, Zhu, Xiaobo, additional, and Pan, Jian-Wei, additional
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- 2022
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49. Quantum computational advantage via 60-qubit 24-cycle random circuit sampling
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Zhu, Qingling, primary, Cao, Sirui, additional, Chen, Fusheng, additional, Chen, Ming-Cheng, additional, Chen, Xiawei, additional, Chung, Tung-Hsun, additional, Deng, Hui, additional, Du, Yajie, additional, Fan, Daojin, additional, Gong, Ming, additional, Guo, Cheng, additional, Guo, Chu, additional, Guo, Shaojun, additional, Han, Lianchen, additional, Hong, Linyin, additional, Huang, He-Liang, additional, Huo, Yong-Heng, additional, Li, Liping, additional, Li, Na, additional, Li, Shaowei, additional, Li, Yuan, additional, Liang, Futian, additional, Lin, Chun, additional, Lin, Jin, additional, Qian, Haoran, additional, Qiao, Dan, additional, Rong, Hao, additional, Su, Hong, additional, Sun, Lihua, additional, Wang, Liangyuan, additional, Wang, Shiyu, additional, Wu, Dachao, additional, Wu, Yulin, additional, Xu, Yu, additional, Yan, Kai, additional, Yang, Weifeng, additional, Yang, Yang, additional, Ye, Yangsen, additional, Yin, Jianghan, additional, Ying, Chong, additional, Yu, Jiale, additional, Zha, Chen, additional, Zhang, Cha, additional, Zhang, Haibin, additional, Zhang, Kaili, additional, Zhang, Yiming, additional, Zhao, Han, additional, Zhao, Youwei, additional, Zhou, Liang, additional, Lu, Chao-Yang, additional, Peng, Cheng-Zhi, additional, Zhu, Xiaobo, additional, and Pan, Jian-Wei, additional
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- 2022
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50. Realization of Fast All-Microwave Controlled-Z Gates with a Tunable Coupler
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Li, Shaowei, primary, Fan, Daojin, additional, Gong, Ming, additional, Ye, Yangsen, additional, Chen, Xiawei, additional, Wu, Yulin, additional, Guan, Huijie, additional, Deng, Hui, additional, Rong, Hao, additional, Huang, He-Liang, additional, Zha, Chen, additional, Yan, Kai, additional, Guo, Shaojun, additional, Qian, Haoran, additional, Zhang, Haibin, additional, Chen, Fusheng, additional, Zhu, Qingling, additional, Zhao, Youwei, additional, Wang, Shiyu, additional, Ying, Chong, additional, Cao, Sirui, additional, Yu, Jiale, additional, Liang, Futian, additional, Xu, Yu, additional, Lin, Jin, additional, Guo, Cheng, additional, Sun, Lihua, additional, Li, Na, additional, Han, Lianchen, additional, Peng, Cheng-Zhi, additional, Zhu, Xiaobo, additional, and Pan, Jian-Wei, additional
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- 2022
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