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1,581 results on '"Li, Xiao‐yu"'

1. QUEST-A: Untrained Filtering with Trained Focusing led to Enhanced Quantum Architectures

Author

Yu, Lian-Hui, Li, Xiao-Yu, Chen, Geng, Zhu, Qin-Sheng, Li, Hui, and Yang, Guo-Wu

Subjects
Quantum Physics
Abstract

Quantum architecture search (QAS) represents a fundamental challenge in quantum machine learning, with SOTA methods primarily categorized into training-free and gradient-guided approaches. However, treating QAS solely as either a discrete pruning process or a continuous optimization problem fails to balance accuracy and efficiency. This work decomposes QAS into two alternately solved subproblems: optimal circuit structure retrieval and parameter optimization. Based on this insight, we propose Quantum Untrained-Explored Synergistic Trained Architecture (QUEST-A), which implements rapid architecture pruning through inherent circuit properties and develops focused optimization with parameter reuse strategies. QUEST-A unifies discrete structure search and continuous parameter optimization within an evolutionary framework that integrates rapid pruning and fine-grained optimization. Experiments demonstrate QUEST-A's superiority over existing methods: enhancing model expressivity in signal representation, maintaining high performance across varying complexities in image classification, and achieving order-of-magnitude precision improvements in variational quantum eigensolver tasks. These results validate QUEST-A's effectiveness and provide transferable methodologies for QAS.

Published
2024

2. QUSL: Quantum Unsupervised Image Similarity Learning with Enhanced Performance

Author

Yu, Lian-Hui, Li, Xiao-Yu, Chen, Geng, Zhu, Qin-Sheng, Li, Hui, and Yang, Guo-Wu

Subjects
Quantum Physics
Abstract

Leveraging quantum properties to enhance complex learning tasks has been proven feasible, with excellent recent achievements in the field of unsupervised learning. However, current quantum schemes neglect adaptive adjustments for unsupervised task scenarios. This work proposes a novel quantum unsupervised similarity learning method, QUSL. Firstly, QUSL uses similarity triplets for unsupervised learning, generating positive samples by perturbing anchor images, achieving a learning process independent of classical algorithms. Subsequently, combining the feature interweaving of triplets, QUSL employs metaheuristic algorithms to systematically explore high-performance mapping processes, obtaining quantum circuit architectures more suitable for unsupervised image similarity tasks. Ultimately, QUSL realizes feature learning with lower quantum resource costs. Comprehensive numerical simulations and experiments on quantum computers demonstrate that QUSL outperforms state-of-the-art quantum methods. QUSL achieves over 50% reduction in critical quantum resource utilization. QUSL improves similarity detection correlation by up to 19.5% across multiple datasets, exhibiting robustness in NISQ environments. While using fewer quantum resources, QUSL shows potential for large-scale unsupervised tasks.

Published
2024

6. A new quantum machine learning algorithm: split hidden quantum Markov model inspired by quantum conditional master equation

Author

Li, Xiao-Yu, Zhu, Qin-Sheng, Hu, Yong, Wu, Hao, Yang, Guo-Wu, Yu, Lian-Hui, and Chen, Geng

Subjects
Quantum Physics
Abstract

The Hidden Quantum Markov Model (HQMM) has significant potential for analyzing time-series data and studying stochastic processes in the quantum domain as an upgrading option with potential advantages over classical Markov models. In this paper, we introduced the split HQMM (SHQMM) for implementing the hidden quantum Markov process, utilizing the conditional master equation with a fine balance condition to demonstrate the interconnections among the internal states of the quantum system. The experimental results suggest that our model outperforms previous models in terms of scope of applications and robustness. Additionally, we establish a new learning algorithm to solve parameters in HQMM by relating the quantum conditional master equation to the HQMM. Finally, our study provides clear evidence that the quantum transport system can be considered a physical representation of HQMM. The SHQMM with accompanying algorithms present a novel method to analyze quantum systems and time series grounded in physical implementation.

Published
2023
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16. Spin-orbit amplitudes for decays with arbitrary spin

Author

Li, Xiao-yu, Dong, Xiang-Kun, and Jing, Hao-Jie

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

In this paper, we propose a method to construct the decay amplitudes in the orbital ($L$) and spin ($S$) coupling scheme for particles with arbitrary spins. For the $1\to 2$ decay with only massive particles involved, the angular dependence is completely encoded in the angular momentum part, and the spins of daughter particles are coupled in the rest frame of the mother particle, which contributes only a constant factor. For the sequential decay, the total amplitude is constructed by the two $1\to2$ amplitudes evaluated in the rest frame of their own mother particles, and then they are transformed to the common frame, usually chosen as the laboratory frame, by certain Lorentz transformations. In this way, it is easy to add the amplitudes of possible different decay chains coherently. If massless particles show up in the final states, the polarizations are expressed in helicity basis and the amplitudes are modified correspondingly., Comment: 16 pages, 0 figures

Published
2022
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39. Classification of PRSS1 variants responsible for chronic pancreatitis: An expert perspective from the Franco-Chinese GREPAN Study Group

Author

Abrantes, Amandine, Aguilera Munoz, Lina, Albouys, Jérémie, Alric, Laurent, Amiot, Xavier, Archambeaud, Isabelle, Audiau, Solène, Bastide, Laetitia, Baudon, Julien, Bellaiche, Guy, Bellon, Serge, Bertrand, Valérie, Bideau, Karine, Billiemaz, Kareen, Billioud, Claire, Bonnefoy, Sabine, Borderon, Corinne, Bournet, Barbara, Breton, Estelle, Brugel, Mathias, Buscail, Louis, Cadiot, Guillaume, Camus, Marine, Causse, Xavier, Chamouard, Patrick, Chaput, Ulriikka, Cholet, Franck, Ciocan, Dragos Marius, Clavel, Christine, Coffin, Benoit, Coimet-Berger, Laura, Creveaux, Isabelle, Culetto, Adrian, Daboussi, Oussama, De Mestier, Louis, Degand, Thibault, D'Engremont, Christelle, Denis, Bernard, Dermine, Solène, Desgrippes, Romain, Drouet D'Aubigny, Augustin, Enaud, Raphaël, Fabre, Alexandre, Gargot, Dany, Gelsi, Eve, Gentilcore, Elena, Gincul, Rodica, Ginglinger-Favre, Emmanuelle, Giovannini, Marc, Gomercic, Cécile, Gondran, Hannah, Grainville, Thomas, Grandval, Philippe, Grasset, Denis, Grimaldi, Stéphane, Grimbert, Sylvie, Hagege, Hervé, Heissat, Sophie, Hentic, Olivia, Herber-Mayne, Anne, Hervouet, Marc, Hoibian, Solene, Jacques, Jérémie, Jais, Bénédicte, Kaassis, Mehdi, Koch, Stéphane, Lacaze, Elodie, Lacroute, Joël, Lamireau, Thierry, Laurent, Lucie, Le Guillou, Xavier, Le Rhun, Marc, Leblanc, Sarah, Levy, Philippe, Lievre, Astrid, Lorenzo, Diane, Maire, Frédérique, Marcel, Kévin, Matias, Clément, Mauillon, Jacques, Morgant, Stéphanie, Moussata, Driffa, Muller, Nelly, Nambot, Sophie, Napoleon, Bertrand, Olivier, Anne, Pagenault, Maël, Pelletier, Anne-laure, Pennec, Olivier, Pinard, Fabien, Pioche, Mathieu, Prost, Bénédicte, Queneherve, Lucille, Rebours, Vinciane, Reboux, Noemi, Rekik, Samia, Riachi, Ghassan, Rohmer, Barbara, Roquelaure, Bertrand, Rosa Hezode, Isabelle, Rostain, Florian, Saurin, Jean-Christophe, Servais, Laure, Stan-Iuga, Roxana, Subtil, Clément, Texier, Charles, Thomassin, Lucie, Tougeron, David, Tsakiris, Laurent, Valats, Jean-Christophe, Vuitton, Lucine, Wallenhorst, Timothée, Wangerme, Marc, Zanaldi, Hélène, Zerbib, Frank, Bai, Chen-Guang, Bian, Yun, Cai, Zhen-Zhai, Chang, Xiao-Yan, Chen, Guo-Dong, Cheng, Li, Chen, Yu, Guo, Jin-Tao, Guo, Tao, Han, Jun-Ling, He, Chao-Hui, Hu, Liang-Hao, Huang, Hao-Jie, Huang, Li, Huang, Li-Ya, Huang, Si-Lin, Huang, Wei, Jiang, Fei, Jiang, Hui, Lu, Feng-Chun, Lu, Guo-Tao, Lu, Zi-Peng, Li, Hui-Ping, Li, Jing, Li, Le, Li, Qiang, Li, Xiao-Yu, Lin, Qing, Lin, Yu-Li, Liu, Gai-Fang, Liu, Jie-Min, Liu, Li-Xin, Liu, Pi, Liu, Yi-Pin, Lu, Dong, Shao, Xiao-Dong, Shao, Zhuo, Song, Xu-Rui, Wang, Lei, Wang, Li-Juan, Wang, Li-Sheng, Wang, Lin, Wang, Wei, Wang, Zheng, Wen, Li, Wu, Xi, Xin, Lei, Xue, Jing, Yang, Hong, Yang, Jian-Feng, Yin, Tao, Zhang, Bei-Ping, Zhang, Guo-Wei, Zhang, Hong, Zhang, Rong-Chun, Zhao, Yi-Jun, Zhou, Si-Si, Zhu, Ke-Xiang, Masson, Emmanuelle, Zou, Wen-Bin, Pu, Na, Génin, Emmanuelle, Wu, Hao, Lin, Jin-Huan, Wang, Yuan-Chen, Li, Zhao-Shen, Cooper, David N., Férec, Claude, Liao, Zhuan, and Chen, Jian-Min

Published
2023
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41. Nutritional Composition and Modern Pharmacological Research Progress of Coicis Semen

Author

FU Jing-ju, DONG Xue, ZHONG Fang-xiao, and LI Xiao-yu

Subjects
coicis semen, nutritional composition, extraction process, pharmacological effect, diabetes, osteoporosis, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641
Abstract

Coicis semen has the effects of invigorating the spleen, invigorating the lungs and removing dampness, clearing heat, expelling pus, removing stagnation and stopping diarrhea. The main nutrients of Coicis semen are fatty acids, esters, polysaccharides, flavonoids, glycoproteins and other components. The results of modern pharmacological studies have shown that Coicis semen has multiple pharmacological effects such as anti-tumor, improving immunity, lowering blood sugar, anti-inflammatory and analgesic, and regulating blood lipid metabolism. By consulting relevant literature in recent years, this paper reviewed the extraction process of Coicis semen nutritional components, including fatty acids, lipids, polysaccharides, flavonoids, Coicis semen oil. Modern pharmacological effects such as anti-tumor, improving immunity, lowering blood glucose and regulating blood lipid metabolism were also included. The development directions of Coicis semen for hypoglycemic, anti-inflammatory, analgesic, osteoporosis and other related functional foods were summarized. This review could provide reference for further development and application of Coicis semen.

Published
2023
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45. Granularity-aware and Semantic Aggregation Based Image-Text Retrieval Network

Author

MIAO Lan-xin, LEI Yu, ZENG Peng-peng, LI Xiao-yu, SONG Jing-kuan

Subjects
image-text matching, cross-model retrieval, feature extraction, semantic aggregation, multi-granularity information extraction, Computer software, QA76.75-76.765, Technology (General), T1-995
Abstract

Image-text retrieval is a basic task in visual-language domain,which aims at mining the relationships between different modalities.However,most existing approaches rely heavily on associating specific regions of an image with each word in a sentence with similar semantics and underappreciate the significance of multi-granular information in images,resulting in irrelevant matches between the two modalities and semantically ambiguous embedding.Generally,an image contains object-level,action-le-vel,relationship-level or even scene-level information that is not explicitly labeled.Therefore,it is challenging to align complex visual information with ambiguous descriptions.To tackle this issue,this paper proposes a granularity aware and semantic aggregating(GASA) network to obtain multi-visual representations and narrow the cross-modal gap.Specifically,the granularity-aware feature selection module selects copious multi-granularity information of images and conducts a multi-scale fusion,guided by an adaptive gated fusion mechanism and a pyramid structure.The semantic aggregation module clusters the multi-granularity information from visual and textual clues in a shared space to obtain the residual representations.Experiments are conducted on two benchmark datasets,and the results show our model outperforms the state-of-the-arts by over 2% on R@1 of MSCOCO 1k.Besides,our model outperforms the state-of-the-art by 4.1% in terms of Flickr30k on R@Sum.

Published
2022
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46. LBS Mobile Privacy Protection Scheme Based on Random Onion Routing

Author

WANG Lei, LI Xiao-yu

Subjects
mobile location privacy, onion routing, hybrid encryption, cyber security, Computer software, QA76.75-76.765, Technology (General), T1-995
Abstract

In order to ensure the location privacy of mobile nodes when using location-based services,a mobile privacy protection scheme for location based service(LBS)based on random onion routing is proposed.This scheme integrates random onion routing and hybrid encryption to ensure the privacy of mobile node location and the security of query requests.The mobile node randomly selects several nodes in the network before sending the query request to the LBS server to build an onion path,and forwards the query request along this path in turn until the LBS server receives the message.Then,the LBS sends the query result to the sen-ding node along the reverse direction of the onion path.In order to realize the anonymity of the sending node,the addresses of each layer on the randomly constructed onion path are encrypted with a combination of symmetric encryption and asymmetric encryption.In this way,layers of encryption are used to generate the final onion path.Each hop node in the path can get only its next-hop node.Neither the LBS server nor any relay node in the onion routing path can know which node is the sending node,so that the location privacy of the sending node can be kept.On the other hand,in order to ensure that no third party can get the query request or query result,the sending node first uses a symmetric key to encrypt the query request.Then it uses the public key of the LBS server to encrypt the symmetric key.Finally it attaches the symmetric key ciphertext to the query request ciphertext and send it to the LBS server.The LBS server will also return the encrypted query result.Experimental results show that the average response time of this scheme increases slowly with the increase of the number of nodes in the system.The average response time will not increases sharply with the increase of the number of nodes,which will lead to system paralysis.So the system has good stability and scalability.The onion path is randomly selected which does not depend on a specific node,so the scheme has better robustness.

Published
2022
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48. Machine learning study of the relationship between the geometric and entropy discord

Author

Zhu, Qin-Sheng, Li, Xiao-Yu, Zhu, Ming-Zheng, Huang, Yi-Ming, Wu, Hao, and Wu, Shao-Yi

Subjects
Quantum Physics
Abstract

As an important resource to realize quantum information, quantum correlation displays different behaviors, freezing phenomenon and non-localization, which are dissimilar to the entanglement and classical correlation, respectively. In our setup, the ordering of quantum correlation is represented for different quantization methods by considering an open quantum system scenario. The machine learning method (neural network method) is then adopted to train for the construction of a bridge between the R\`{e}nyi discord ($\alpha=2$) and the geometric discord (Bures distance) for $X$ form states. Our results clearly demonstrate that the machine learning method is useful for studying the differences and commonalities of different quantizing methods of quantum correlation.

Published
2018

49. The freezing R\`enyi quantum discord

Author

Li, Xiao-Yu, Zhu, Qin-Sheng, Zhu, Ming-Zheng, Wu, Hao, Wu, Shao-Yi, and Zhu, Ming-Chuan

Subjects
Quantum Physics
Abstract

As a universal quantum character of quantum correlation, the freezing phenomenon is researched by geometry and quantum discord methods, respectively. In this paper, the properties of R`enyi discord is studied for two independent Dimer System coupled to two correlated Fermi-spin environments under the non-Markovian condition. We further demonstrate that the freezing behaviors still exist for R`enyi discord and study the effects of different parameters on this behaviors., Comment: 6 pages, 5 figures

Published
2018

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