Results 31 to 40 of about 23,653 (255)
Energy Reports, 2022 Infrastructure development is expected to support economic growth in Indonesia. Infrastructure development related to logistics and energy is a top priority based on the Indonesia’s development plan.
Muhammad Arif Budiyanto +3 more
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Extending the reach of quantum computing for materials science with machine learning potentials
AIP Advances, 2022 Solving electronic structure problems represents a promising field of applications for quantum computers. Currently, much effort is spent in devising and optimizing quantum algorithms for near-term quantum processors, with the aim of outperforming ...
Julian Schuhmacher +6 more
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Machine learning for quantum matter [PDF]
Advances in Physics: X, 2020 34 pages, 4 figures, 290 references.
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Challenges and opportunities in quantum machine learning
Nature Computational Science, 2022 At the intersection of machine learning and quantum computing, Quantum Machine Learning (QML) has the potential of accelerating data analysis, especially for quantum data, with applications for quantum materials, biochemistry, and high-energy physics. Nevertheless, challenges remain regarding the trainability of QML models.
Marco Cerezo +4 more
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New trends in quantum machine learning (a) [PDF]
Europhysics Letters, 2020 Abstract Here we will give a perspective on new possible interplays between machine learning and quantum physics, including also practical cases and applications. We will explore the ways in which machine learning could benefit from new quantum technologies and algorithms to find new ways to speed up their computations by breakthroughs ...
Buffoni L., Caruso F.
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New insights into supradense matter from dissecting scaled stellar structure equations
Frontiers in Astronomy and Space SciencesThe strong-field gravity in general relativity (GR) realized in neutron stars (NSs) renders the equation of state (EOS) P(ε) of supradense neutron star matter to be essentially nonlinear and refines the upper bound for ϕ≡P/ε to be much smaller than the ...
Bao-Jun Cai, Bao-An Li
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Advances in quantum machine learning
, 2015 Here we discuss advances in the field of quantum machine learning. The following document offers a hybrid discussion; both reviewing the field as it is currently, and suggesting directions for further research. We include both algorithms and experimental implementations in the discussion.
Adcock, Jeremy +9 more
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Design and analysis of quantum machine learning: a survey
Connection ScienceMachine learning has demonstrated tremendous potential in solving real-world problems. However, with the exponential growth of data amount and the increase of model complexity, the processing efficiency of machine learning declines rapidly.
Linshu Chen +6 more
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Quantum dynamics of machine learning
Acta Physica SinicaIn order to solve the current lack of rigorous theoretical models in the machine learning process, in this paper the iterative motion process of machine learning is modeled by using quantum dynamic method based on the principles of first-principles thinking.
Peng Wang +1 more
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Quantum Embedding Search for Quantum Machine Learning
IEEE Access, 2022 Quantum Embedding Search for Quantum Machine ...
Nam Nguyen 0003, Kwang-Cheng Chen
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