Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines. [PDF]
PLoS ONERecent advancements in quantum computing suggest the potential to revolutionize computational algorithms across various scientific domains including oceanography and atmospheric science.
Takuro Matsuta, Ryo Furue
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Micro-mobility dispatch optimization via quantum annealing incorporating historical data [PDF]
Scientific ReportsThis paper proposes a novel dispatch formulation for micro-mobility vehicles using a quantum annealing (QA). In recent years, QA has gained increasing attention as a high-performance solver for combinatorial optimization problems.
Takeru Goto, Masayuki Ohzeki
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Optimization of Quantum Computing Models Inspired by D-Wave Quantum Annealing
Tsinghua Science and Technology, 2020 With the slow progress of universal quantum computers, studies on the feasibility of optimization by a dedicated and quantum-annealing-based annealer are important.
Baonan Wang, Feng Hu, Chao Wang
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Toward Solution‐Time Advantage With Error‐Mitigated Quantum Annealing for Combinatorial Optimization
Advanced Physics ResearchQuantum annealing (QA) has the potential to solve complex optimization problems, but its broad adoption is hindered by qubit errors, which cause an exponential slowdown in computing the global optimal solution as problem size increases.
Yushuang Sam Yang +3 more
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Quantum annealing enhanced Markov-Chain Monte Carlo [PDF]
Scientific ReportsIn this study, we propose quantum annealing-enhanced Markov Chain Monte Carlo (QAEMCMC), where QA is integrated into the MCMC subroutine. QA efficiently explores low-energy configurations and overcomes local minima, enabling the generation of proposal ...
Shunta Arai, Tadashi Kadowaki
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Quantum linear solvers for scientific computing: a comparison of VQLS, HHL and quantum annealing on time-fractional diffusion problems [PDF]
Scientific ReportsTime-fractional diffusion equations have emerged as powerful models for describing anomalous transport phenomena in physics, biology and engineering. To address the computational challenges arising from their non-local operators, we employ the WEB-spline
Amir Hossein Salehi Shayegan
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Enhancing multiple object tracking accuracy via quantum annealing [PDF]
Scientific ReportsMultiple object tracking (MOT), a key task in image recognition, poses a persistent challenge in balancing processing speed and tracking accuracy. This study presents a novel approach that leverages quantum annealing (QA) to expedite computation speed ...
Yasuyuki Ihara
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Formation of topologically associated chromatin domains using quantum annealing [PDF]
Scientific ReportsTopologically Associating Chromatin Domains are spatially distinct chromatin regions that regulate transcription by segregating active and inactive genomic elements. Empirical studies show that their formation correlates with local patterns of epigenetic
Tobias Kempe +2 more
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How to Solve Combinatorial Optimization Problems Using Real Quantum Machines: A Recent Survey
IEEE Access, 2022 A combinatorial optimization problem (COP) is the problem of finding the optimal solution in a finite set. When the size of the feasible solution set is large, the complexity of the problem increases, and it is not easy to solve in a reasonable time with
Sovanmonynuth Heng +3 more
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Quantum annealing with twisted fields
New Journal of Physics, 2022 Quantum annealing (QA) is a promising method for solving combinational optimization problems and performing quantum chemical calculations. The main sources of errors in QA are the effects of decoherence and non-adiabatic transition.
Takashi Imoto +3 more
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