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Generative AI software company Zapata AI and the Andretti INDYCAR motorsports organization said they will be working together for a third straight racing season as they continue to explore how Zapa [ABSTRACT FROM AUTHOR]

We describe a numerical technique and accompanying open-source Python software package called RydIQule. RydIQule uses a directional graph, relying on adjacency matrices and path-finding to generate a Hamiltonian for multi-level atomic systems. RydIQule then constructs semi-classical equations of motion (Bloch equations) into a tensor which can store an entire simulation consisting of varied system parameters. Using this framework, RydIQule returns solutions significantly faster than typical for interpreted programming languages. RydIQule extends beyond the capabilities of currently-available tools, facilitating rapid development in atomic and Rydberg spectroscopy. To demonstrate its utility, we use RydIQule to simulate a Doppler-broadened Rydberg atomic sensor that simultaneously demodulates five rf tones spanning from 1.7 to 116 GHz. Using RydIQule, this simulation can be solved in several hours on a commercial off-the-shelf desktop computer. [ABSTRACT FROM AUTHOR]

This month EPB launched a new speed tier on its fiber optic network, and announced two wins for its developing quantum network. [ABSTRACT FROM AUTHOR]

Quantum optimal control includes a family of pulse-shaping algorithms that aim to unlock the full potential of a variety of quantum technologies. The Quantum Optimal Control Suite (QuOCS) unites experimental focus and model-based approaches in a unified framework. Easy usage and installation presented here and the availability of various combinable optimization strategies is designed to improve the performance of many quantum technology platforms, such as color defects in diamond, superconducting qubits, atom- or ion-based quantum computers. It can also be applied to the study of more general phenomena in physics. In this paper, we describe the software and the toolbox of gradient-free and gradient-based algorithms. We then show how the user can connect it to their experiment. In addition, we provide illustrative examples where our optimization suite solves typical quantum optimal control problems, in both open- and closed-loop settings. Integration into existing experimental control software is already provided for the experiment control software Qudi (Binder et al., 2017 [41]), and further extensions are investigated and highly encouraged. QuOCS is available from GitHub , under Apache License 2.0, and can be found on the PyPI repository. Program Title: QuOCS - Quantum Optimal Control Suite CPC Library link to program files: https://doi.org/10.17632/wjjch757fk.1 Developer's repository link: https://github.com/Quantum-OCS/QuOCS Licensing provisions: Apache-2.0 Programming language: Python External routines: NumPy [1], SciPy [1], JAX [2] Nature of problem: Quantum systems are typically controlled by time-dependent electromagnetic fields to perform a certain set of quantum operations. Those operations may in turn provide building blocks for various quantum information processing tasks such as quantum computation, communication, simulation, sensing, and metrology. Numerous control strategies exist to design and improve such operations [3]. While some strategies are constructed to target a rather specific problem with high efficiency, others are more general to solve a wide range of applications [4,5]. To access the different algorithms, one has to download different optimization suites with different input and output parameters, making them hard to compare and combine. To benefit from the variety of algorithms, we have devised a customizable and intuitive optimization suite that simultaneously provides access to some of the most popular quantum optimal control algorithms. Solution method: We combine, in a unified framework, some of the frequently used optimal control algorithms which are the dressed Chopped Random Basis method (dCRAB) [6], and Gradient Ascent Pulse Engineering (GRAPE) [7], with an extension to make use of Automatic Differentiation (AD) [8]. The software is able to connect to both models of quantum dynamics in simulations and real-time quantum experiments to perform open- and closed-loop optimization, respectively. With minimal knowledge of optimal control theory, the user can manage to run optimizations of quantum processes using a variety of additional features such as stopping criteria and drift compensation. Logging and data management of the optimization progress and results are also handled by the suite. Its modular structure allows for extensions that accommodate customized algorithms and can be implemented by the user straightforwardly. Additional comments including unusual features: The connection to the experiments is performed by an extension that enables a direct integration to a laboratory control software Qudi [9]. [1] T.E. Oliphant, Comput. Sci. Eng. 9 (2007) 10, http://www.scipy.org/. [2] J. Bradbury, et al., JAX: composable transformations of Python+NumPy programs, http://github.com/google/jax , 2018. [3] S. Glaser, U. Boscain, T. Calarco, et al., Eur. Phys. J. D 69 (2015) 279. [4] C.P. Koch, U. Boscain, T. Calarco, et al., EPJ Quantum Technol. 9 (2022) 19. [5] Schaefer, Ido, Ronnie Kosloff, Phys. Rev. A 101 (2) (2020). [6] N. Rach, M.M. Müller, T. Calarco, S. Montangero, Phys. Rev. A 92 (2015) 6. [7] N. Khaneja, et al., J. Magn. Reson. 92 (6) (2015) 296–305. [8] N. Leung, et al., Phys. Rev. A 95 (2017) 4. [9] J.M. Binder, et al., SoftwareX 6 (2017) 85–90. [ABSTRACT FROM AUTHOR]

EPB tapped into its partnership with Aliro Quantum to add configuration and management software to its network in Chatanooga, Tennessee. [ABSTRACT FROM AUTHOR]

This paper develops fundamental limits of digital phased arrays and proposes to use this as a map for the future technology investment in this area. Phased arrays, which are becoming ubiquitous in everything from vehicles, to communication systems including cell phones, to drones, satellites, and of course military applications. There is a recent trend toward digital phased arrays where each element in the antenna array is digitized. This allows monolithic integrated circuit integration as well as providing new capability due to digital signal processing. Digital phased arrays are increasingly being implemented with reconfigurable logic. Digitization and reconfigurability comes at a cost of power, which is increasingly becoming the limitation in these systems. This paper develops the fundamental energy limits of digital computation, applies this to phased arrays, and discusses directions for potential future digital phased array development. [ABSTRACT FROM AUTHOR]

EPB will lend its network to developers as part of a new subscription model that hopes to spark collaboration across the nascent quantum industry. [ABSTRACT FROM AUTHOR]

Companies like Vector Atomic and Infleqtion are helping the military harness quantum technologies to develop underground sensing, secure communications and alternatives to GPS. [ABSTRACT FROM AUTHOR]

New year, new deals for $19 billion private equity shop Quantum EP and CEO Wil VanLoh. [ABSTRACT FROM AUTHOR]

LAS VEGAS Bosch has made a major footprint on the sensors and MEMS market since the mid-nineties and is forecasting a big future with the help of new products being shown at CES 2023. [ABSTRACT FROM AUTHOR]

This primer provides cosmetic scientists, engineers and physicists with an understanding of light. The quantum mechanics of history continue today as a guiding paradigm for computers, satellites and mobile communications, in addition to the cosmetically related fields of photoprotection and visual effects imparted through makeup to change appearance. [ABSTRACT FROM AUTHOR]

We propose a new method to implement mirror inverse gate operations in 1-D linear nearest neighbor (LNN) array coupled through diagonal interactions, using a dynamic learning algorithm. This is accomplished by training a quantum system using a backpropagation technique, to find the parameters of the system Hamiltonian that implement the mirror inverse operation. We show how the training algorithm can be used as a tool for finding the parameters for implementing mirror inverse operations in LNN systems with increasing number of qubits. The key feature of our scheme is that once we find the system parameters using the learning algorithm, mirror inversion (MI) is accomplished simply by tuning the system parameters to these values and allowing the system to evolve for a chosen time interval. To validate our scheme, we compare our results against known results for an LNN system coupled through $XY$ interactions. We also show how the scheme can be used to implement MI operations in the presence of unwanted couplings. [ABSTRACT FROM AUTHOR]

Abstract: Motivated by several classic decision-theoretic paradoxes, and by analogies with the paradoxes which in physics motivated the development of quantum mechanics, we introduce a projective generalization of expected utility along the lines of the quantum-mechanical generalization of probability theory. The resulting decision theory accommodates the dominant paradoxes, while retaining significant simplicity and tractability. In particular, every finite game within this larger class of preferences still has an equilibrium. [Copyright &y& Elsevier]

Abstract: A quantum dynamic model of decision-making is presented, and it is compared with a previously established Markov model. Both the quantum and the Markov models are formulated as random walk decision processes, but the probabilistic principles differ between the two approaches. Quantum dynamics describe the evolution of complex valued probability amplitudes over time, whereas Markov models describe the evolution of real valued probabilities over time. Quantum dynamics generate interference effects, which are not possible with Markov models. An interference effect occurs when the probability of the union of two possible paths is smaller than each individual path alone. The choice probabilities and distribution of choice response time for the quantum model are derived, and the predictions are contrasted with the Markov model. [Copyright &y& Elsevier]

Abstract: We introduce a unified Gaussian quantum operator representation for fermions and bosons. The representation extends existing phase-space methods to Fermi systems as well as the important case of Fermi–Bose mixtures. It enables simulations of the dynamics and thermal equilibrium states of many-body quantum systems from first principles. As an example, we numerically calculate finite-temperature correlation functions for the Fermi Hubbard model, with no evidence of the Fermi sign problem. [Copyright &y& Elsevier]

It is shown that an alternative version of Schro¨dinger theory based only on classical physical concepts makes possible a simple and direct derivation of Sommerfeld's fine-structure formula in an external field independent way in the general context of bound electronic states. It is thus demonstrated that this formula is of classical origin and of much greater generality than had previously been thought. [ABSTRACT FROM AUTHOR]

​JBL are looking to extend their audio empire into the world of video gaming through their new Quantum range. ​ [ABSTRACT FROM AUTHOR]

Telefónica is planning to test the use of quantum key cryptography in metro networks where security is an issue. [ABSTRACT FROM AUTHOR]

Abstract: The Quantum Adiabatic Algorithm has been proposed as a general purpose algorithm for solving hard optimization problems on a quantum computer. Early work on very small sizes indicated that the running time (complexity) only increased as a (quite small) power of the problem size N. We report results of Quantum Monte Carlo simulations, using parallel tempering, with which we determine the minimum energy gap (and hence get information the complexity) for much bigger sizes than was possible before. The aim is to see if there is a “crossover” to exponential complexity at large N. We present data for the typical (median) complexity as a function of N, which indicate a crossover to a first order transition at large sizes. This implies that the complexity is exponential at large N, at least for the problem studied. [Copyright &y& Elsevier]

The article focuses on the speed of Ultimate Internet tier which was doubled by multiple-system operator (MSO) Time Warner Cable (TWC) Inc. to 100 megabits per second (Mbps) in Los Angeles, California. It states that faster speeds will help TWC compete with Verizon Communications Inc. According to Steve Cook, senior vice president (SVP) and general manager (GM) of TWC's residential Internet division, the speed upgrades will meet the demand to stream, download, and connect in multiple devices.

The article reports that telecommunication company Verizon Communications Inc. has signed a deal with the football team Tampa Bay Buccaneers related to marketing of its FiOS Quantum and live mobile video products. It states that according to the deal the company will have two booths at the Raymond James Stadium in Tampa, Florida where audience can take a test drive of Quantum.

The article informs that Verizon Communications Inc. has added 140,000 net new FiOS television (TV) subscribers and 161,000 FiOS Internet subscribers in the second quarter of 2013 and is planning to add more than 600,000 new FiOS subscribers by the end of 2013. It also informs that with the help of FiOS it had an average penetration rate of 38.6 percent for FiOS Internet. FiOS Digital Voice net subscriber additions decreased by 18.3 percent.