Results 51 to 60 of about 116,832 (272)
, 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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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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Quantum annealing for combinatorial clustering [PDF]
Quantum Information Processing, 2018 Clustering is a powerful machine learning technique that groups "similar" data points based on their characteristics. Many clustering algorithms work by approximating the minimization of an objective function, namely the sum of within-the-cluster distances between points.
Vaibhaw Kumar +3 more
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Quantum Annealing via Environment-Mediated Quantum Diffusion
Physical Review Letters, 2017 4.5 pages of main text, 3.5 pages of Supplementary Material, 1 Figure, replacement contains minor ...
Smelyanskiy, Vadim N. +4 more
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Quantum Annealing for Prime Factorization [PDF]
Scientific Reports, 2018 AbstractWe have developed a framework to convert an arbitrary integer factorization problem to an executable Ising model by first writing it as an optimization function then transforming the k-bit coupling (k ≥ 3) terms to quadratic terms using ancillary variables. Our resource-efficient method uses $${\mathscr{O}}({\mathrm{log}}^{2}(N))$$
Shuxian Jiang +4 more
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Embedding Overhead Scaling of Optimization Problems in Quantum Annealing
PRX Quantum, 2021 In order to treat all-to-all-connected quadratic binary optimization problems (QUBOs) with hardware quantum annealers, an embedding of the original problem is required due to the sparsity of the topology of the hardware.
Mario S. Könz +3 more
doaj +1 more source
Quantum Annealing Effect on Entropic Slowing Down in Frustrated Decorated Bond System
, 2006 We propose that the importance of the quantum annealing procedure to find the ground state of frustrated decorated bond systems where 'entropic slowing down' happens due to peculiar density of states.
Kadowaki +5 more
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Quantum Annealing Correction with Minor Embedding [PDF]
, 2015 Quantum annealing provides a promising route for the development of quantum optimization devices, but the usefulness of such devices will be limited in part by the range of implementable problems as dictated by hardware constraints.
Albash, Tameem +4 more
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Advanced Engineering Materials, Volume 27, Issue 6, March 2025.ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source