Results 81 to 90 of about 1,815,218 (351)
Frontiers in Computer Science, 2023 Restricted Boltzmann machines are common machine learning models that can utilize quantum annealing devices in their training processes as quantum samplers.
Ilmo Salmenperä, Jukka K. Nurminen
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Theory of Quantum Annealing of an Ising Spin Glass
, 2002 Probing the lowest energy configuration of a complex system by quantum annealing was recently found to be more effective than its classical, thermal counterpart.
Car, Roberto +3 more
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Perspectives of quantum annealing: methods and implementations [PDF]
Reports on progress in physics. Physical Society, 2019 Quantum annealing is a computing paradigm that has the ambitious goal of efficiently solving large-scale combinatorial optimization problems of practical importance. However, many challenges have yet to be overcome before this goal can be reached.
P. Hauke +4 more
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Strategic Portfolio Optimization Using Simulated, Digital, and Quantum Annealing
Applied Sciences, 2022 In this work, we introduce a new workflow to solve portfolio optimization problems on annealing platforms. We combine a classical preprocessing step with a modified unconstrained binary optimization (QUBO) model and evaluate it using simulated annealing (
Jonas Lang +2 more
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Statistical Analysis of Quantum Annealing
Statistica Sinica, 2023 Summary: Quantum computation is based on quantum physics to build quantum devices for performing calculations and processing information. Although large-scale general-purpose quantum computers are still many years away, special-purpose quantum computers, such as quantum annealers, are being built with capabilities that exceed those of classical ...
Wang, Yazhen, Wu, Shang, Liu, Hongzhi
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Elimination of Bimodal Size in InAs/GaAs Quantum Dots for Preparation of 1.3-μm Quantum Dot Lasers
Nanoscale Research Letters, 2018 The device characteristics of semiconductor quantum dot lasers have been improved with progress in active layer structures. Self-assembly formed InAs quantum dots grown on GaAs had been intensively promoted in order to achieve quantum dot lasers with ...
Xiang-Bin Su +9 more
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, 2012 In this paper, we review some features of quantum annealing and related topics from viewpoints of statistical physics, condensed matter physics, and computational physics.
Tamura, Ryo, Tanaka, Shu
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Quantum annealing learning search implementations
Quantum Information and Computation, 2022 This paper presents the details and testing of two implementations (in C++ and Python) of the hybrid quantum-classical algorithm Quantum Annealing Learning Search (QALS) on a D-Wave quantum annealer. QALS was proposed in 2019 as a novel technique to solve general QUBO problems that cannot be directly represented into the hardware architecture of a D ...
Bonomi, Andrea +5 more
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Seeking Quantum Speedup Through Spin Glasses: The Good, the Bad, and the Ugly*
Physical Review X, 2015 There has been considerable progress in the design and construction of quantum annealing devices. However, a conclusive detection of quantum speedup over traditional silicon-based machines remains elusive, despite multiple careful studies.
Helmut G. Katzgraber +4 more
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Optimization by Quantum Annealing: Lessons from hard 3-SAT cases
, 2005 The Path Integral Monte Carlo simulated Quantum Annealing algorithm is applied to the optimization of a large hard instance of the Random 3-SAT Problem (N=10000).
B. K. Chakrabarti +18 more
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