Results 21 to 30 of about 8,389,880 (297)
Machine learning aided carrier recovery in continuous-variable quantum key distribution
npj Quantum Information, 2021 The secret key rate of a continuous-variable quantum key distribution (CV-QKD) system is limited by excess noise. A key issue typical to all modern CV-QKD systems implemented with a reference or pilot signal and an independent local oscillator is ...
Hou-Man Chin +4 more
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Quantum Machine Learning: A tutorial
Neurocomputing, 2022 This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together concepts from Machine Learning (ML), Quantum Computing (QC) and Quantum Information (QI). The great development experienced by QC, partly due to the involvement of giant technological companies as well as the popularity and success ...
José David Martín-Guerrero +1 more
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Practical advantage of quantum machine learning in ghost imaging
Communications Physics, 2023 Demonstrating the practical advantage of quantum computation remains a long-standing challenge whereas quantum machine learning becomes a promising application that can be resorted to.
Tailong Xiao +4 more
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Quantum machine learning: from physics to software engineering
Advances in Physics: X, 2023 Quantum machine learning is a rapidly growing field at the intersection of quantum technology and artificial intelligence. This review provides a two-fold overview of several key approaches that can offer advancements in both the development of quantum ...
Alexey Melnikov +3 more
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Digital Quantum Simulation and Circuit Learning for the Generation of Coherent States [PDF]
, 2022 Coherent states, known as displaced vacuum states, play an important role in quantum information processing, quantum machine learning, and quantum optics.
Eneko Osaba +12 more
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eperrier/quant-geom-machine-learning: Quantum Geometric Machine Learning (v1.0.0)
, 2021 <p>Initial release of code associated with 'Quantum Geometric Machine Learning' paper.</p ...
Elija Perrier
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Experimental Evaluation of Quantum Machine Learning Algorithms
IEEE Access, 2023 Machine learning and quantum computing are both areas with considerable progress in recent years. The combination of these disciplines holds great promise for both research and practical applications.
Ricardo Daniel Monteiro Simoes +5 more
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Coloured image classification with quantum machine learning algorithms for intelligent transportation systems [PDF]
, 2023 Quantum computers have great potential to change the future of Artificial Intelligence (AI) applications for practical problems. There currently exist some algorithm design that takes exponential time on a classical computer can take polynomial time on a
Ria, Farina
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Workshop Summary: Quantum Machine Learning
, 2023 13Quantum computing (QC) has made significant progress in recent years, and scientists are exploring its applications across various fields, including quantum machine learning (QML)
Tresp, Volker +8 more
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Progress in Constraining Nuclear Symmetry Energy Using Neutron Star Observables Since GW170817
Universe, 2021 The density dependence of nuclear symmetry energy is among the most uncertain parts of the Equation of State (EOS) of dense neutron-rich nuclear matter.
Bao-An Li +3 more
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