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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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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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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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Machine learning for quantum matter [PDF]
Advances in Physics: X, 2020 34 pages, 4 figures, 290 references.
openaire +3 more sources
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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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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IEEE Open Journal of Vehicular Technology, 2022 Quantum computing is envisaged as an evolving paradigm for solving computationally complex optimization problems with a large-number factorization and exhaustive search.
Trung Q. Duong +5 more
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Report and recommendations on multimedia materials for teaching and learning quantum physics [PDF]
, 2015 An international collaboration of physicists, affiliated with Multimedia Physics for Teaching and Learning (MPTL) and MERLOT, performed a survey and review of multimedia-based learning materials for quantum physics and quantum mechanics.
Mason, B +9 more
core +3 more sources
Discriminating Quantum States with Quantum Machine Learning [PDF]
2021 IEEE International Conference on Quantum Computing and Engineering (QCE), 2021 Quantum machine learning (QML) algorithms have obtained great relevance in the machine learning (ML) field due to the promise of quantum speedups when performing basic linear algebra subroutines (BLAS), a fundamental element in most ML algorithms. By making use of BLAS operations, we propose, implement and analyze a quantum k-means (qk-means) algorithm
David A. Quiroga +2 more
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