Results 121 to 130 of about 1,655,666 (239)
Operator approach in nonlinear stochastic open quantum physics
Physics ReportsThe success of quantum physics in description of various physical interaction phenomena relies primarily on the accuracy of analytical methods used. In quantum mechanics, many of such interactions such as those found in quantum optomechanics and quantum computing have a highly nonlinear nature, which makes their analysis extraordinarily difficult using
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Quantum Algorithms for the Physical Layer: Potential Applications to Physical Layer Security
IEEE AccessThe field of quantum technologies has garnered considerable interest and witnessed noteworthy progress in recent years. It is also anticipated that these technologies will continue to flourish and exert a considerable influence on society, i.e., a ...
Toshiki Matsumine +2 more
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Optimized Quantum Circuit Partitioning Across Multiple Quantum Processors
IEEE Transactions on Quantum EngineeringThis article addresses the challenge of scaling quantum computing by employing distributed quantum algorithms across multiple processors. As quantum circuits grow in complexity, efficiently managing the entanglement resources required for communication ...
Eneet Kaur +6 more
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Network requirements for distributed quantum computation
Physical Review ResearchPhysical constraints and engineering challenges, including wafer dimensions, classical control cabling, and refrigeration volumes, impose significant limitations on the scalability of quantum computing units.
Hugo Jacinto +2 more
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Reinforcement Learning in Different Phases of Quantum Control
Physical Review X, 2018 The ability to prepare a physical system in a desired quantum state is central to many areas of physics such as nuclear magnetic resonance, cold atoms, and quantum computing.
Marin Bukov +5 more
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Mathematical Formalism and Physical Models for Generative Artificial Intelligence
FoundationsThis paper presents a mathematical formalism for generative artificial intelligence (GAI). Our starting point is an observation that a “histories” approach to physical systems agrees with the compositional nature of deep neural networks.
Zeqian Chen
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, 2012 La physique quantique a participé au développement de nombreux domaines, qu'il s'agisse de l'informatique en permettant de traiter l'information électroniquement à l'aide de transistors, des communications, rendues possibles à grande échelle par la lumière laser guidée dans des fibre optique, ou bien de la médecine par les méthodes d'imagerie par ...
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The Topos-theoretical Approach to Quantum Physics
, 2011 I oppgaven tas det sikte på å anvende begreper og metoder fra kategoriteori og især toposteori innen kvantefysikken. I den resulterende teorien, "toposfysikk", brukes toposteori (teorien om generaliserte mengdeuniverser og generaliserte rom) som et verktøy for å konstruere kvantefysikken ved å "lime sammen" klassiske perspektiver eller "snapshots ...
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Machine learning approach to reconstruct density matrices from quantum marginals
Machine Learning: Science and TechnologyIn this work, we propose a machine learning (ML)-based approach to address a specific aspect of the Quantum Marginal Problem: reconstructing a global density matrix compatible with a given set of quantum marginals.
Daniel Uzcategui-Contreras +3 more
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Quantum Physics: The Bottom-Up Approach [PDF]
, 2013 Dirk Dubbers, Hans-Jürgen Stöckmann
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