Results 11 to 20 of about 25,693 (251)
A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn recent years, the development of quantum annealers has enabled experimental demonstrations and has increased research interest in applications of quantum annealing, such as in quantum machine learning and in particular for the popular quantum support ...
Amer Delilbasic +4 more
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Quantum annealing and computation: challenges and perspectives. [PDF]
Philos Trans A Math Phys Eng Sci, 2023 Chakrabarti BK +4 more
europepmc +2 more sources
Reverse Quantum Annealing Assisted by Forward Annealing
Quantum ReportsQuantum annealers conventionally use forward annealing to generate heuristic solutions. Reverse annealing can potentially generate better solutions but necessitates an appropriate initial state.
Manpreet Singh Jattana
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A quantum annealing approach to solve max-cover problem
Tạp chí Khoa học, 2022 The Max-Cover is a NP-hard problem. Therefore, the heuristic approach is suitable to solve this problem for large instances. Quantum annealing is a heuristic quantum optimization algorithm that can be used to handle the Max-Cover problem.
NGUYEN Thi Uyen +3 more
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On quantum annealing without a physical quantum annealer
IET Conference Proceedings, 2023 9 pages, 4 ...
Bhave, Ameya, Borle, Ajinkya
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Quantum annealing: an overview
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022 In this review, after providing the basic physical concept behind quantum annealing (or adiabatic quantum computation), we present an overview of some recent theoretical as well as experimental developments pointing to the issues which are still debated.
Atanu Rajak +3 more
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Thermodynamics of a quantum annealer [PDF]
Quantum Science and Technology, 2020 Abstract The D-wave processor is a partially controllable open quantum system that exchanges energy with its surrounding environment (in the form of heat) and with the external time dependent control fields (in the form of work). Despite being rarely thought as such, it is a thermodynamic machine. Here we investigate the properties of
Lorenzo Buffoni, Michele Campisi
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Reverse annealing for nonnegative/binary matrix factorization.
PLoS ONE, 2021 It was recently shown that quantum annealing can be used as an effective, fast subroutine in certain types of matrix factorization algorithms. The quantum annealing algorithm performed best for quick, approximate answers, but performance rapidly ...
John Golden, Daniel O'Malley
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Pulsed Quantum Annealing [PDF]
Journal of the Physical Society of Japan, 2020 9 pages, 8 ...
Vasilios Karanikolas, Shiro Kawabata
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Peering Into the Anneal Process of a Quantum Annealer [PDF]
2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2019 Commercial adiabatic quantum annealers have the potential to solve important NP-hard optimization problems efficiently. The newest generation of those machines additionally allows the user to customize the anneal schedule, that is, the schedule with which the anneal fraction is changed from the start to the end of the annealing. In this work we use the
Elijah Pelofske +2 more
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