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Modernizing quantum annealing using local searches [PDF]
New Journal of Physics, 2017 26 pages, 8 figures, typos in and around eq. 9 and 10 rectified in v2, path integral quantum annealing results added in v3 at referees request, minor corrections in v4 including addition of simulated annealing data at referee request.
Nicholas Chancellor
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Quantum annealing for industry applications: introduction and review [PDF]
Reports on progress in physics. Physical Society, 2021 Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to solve combinatorial optimization problems. In recent years, advances in quantum technologies have enabled the development of small- and intermediate-scale quantum ...
S. Yarkoni +3 more
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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. Ways to find such states are generally unknown or highly problem dependent, offer limited success, and severely restrict the scope of reverse annealing. We use
Manpreet Singh Jattana
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Nonnegative/Binary matrix factorization for image classification using quantum annealing. [PDF]
Sci Rep, 2023 Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded as a giant leap forward in mankind’s ability to compute.
Asaoka H, Kudo K.
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Solving large break minimization problems in a mirrored double round-robin tournament using quantum annealing. [PDF]
PLoS One, 2022 Quantum annealing has gained considerable attention because it can be applied to combinatorial optimization problems, which have numerous applications in logistics, scheduling, and finance.
Kuramata M, Katsuki R, Nakata K.
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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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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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Tutorial: calibration refinement in quantum annealing [PDF]
Frontiers Comput. Sci., 2023 Quantum annealing has emerged as a powerful platform for simulating and optimizing classical and quantum Ising models. Quantum annealers, like other quantum and/or analog computing devices, are susceptible to non-idealities including crosstalk, device ...
K. Chern +4 more
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Designing quantum annealing schedules using Bayesian optimization [PDF]
Physical Review Research, 2023 We propose and analyze the use of Bayesian optimization techniques to design quantum annealing schedules with minimal user and resource requirements. We showcase our scheme with results for two paradigmatic spin models. We find that Bayesian optimization
Jernej Rudi Finžgar +4 more
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The quantum annealing gap and quench dynamics in the exact cover problem [PDF]
Quantum, 2022 Quenching and annealing are extreme opposites in the time evolution of a quantum system: Annealing explores equilibrium phases of a Hamiltonian with slowly changing parameters and can be exploited as a tool for solving complex optimization problems.
Bernhard Irsigler, Tobias Grass
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