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Faster annealing schedules for quantum annealing [PDF]
Journal of the Physical Society of Japan, 2007 New annealing schedules for quantum annealing are proposed based on the adiabatic theorem. These schedules exhibit faster decrease of the excitation probability than a linear schedule.
Das A. +9 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 versus classical annealing: insights from scaling theory and results for spin glasses on 3-regular graphs [PDF]
, 2015 We discuss an Ising spin glass where each $S=1/2$ spin is coupled antiferromagnetically to three other spins (3-regular graphs). Inducing quantum fluctuations by a time-dependent transverse field, we use out-of-equilibrium quantum Monte Carlo simulations
Liu, Cheng-Wei +2 more
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Travel time optimization on multi-AGV routing by reverse annealing
Scientific Reports, 2022 Quantum annealing has been actively researched since D-Wave Systems produced the first commercial machine in 2011. Controlling a large fleet of automated guided vehicles is one of the real-world applications utilizing quantum annealing. In this study, we
Renichiro Haba +2 more
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Deep learning optimal quantum annealing schedules for random Ising models
New Journal of Physics, 2023 A crucial step in the race towards quantum advantage is optimizing quantum annealing using ad-hoc annealing schedules. Motivated by recent progress in the field, we propose to employ long-short term memory neural networks to automate the search for ...
Pratibha Raghupati Hegde +3 more
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Expanding the scope of quantum annealing applicability
AIP Advances, 2023 With the emergence of D-wave’s quantum annealing machine, the power of quantum computing has become tangible, and the development of quantum computers is accelerating rapidly.
Hiroshi Isshiki, Koki Asari
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Convergence theorems for quantum annealing [PDF]
, 2006 We prove several theorems to give sufficient conditions for convergence of quantum annealing, which is a protocol to solve generic optimization problems by quantum dynamics.
Aarts E +14 more
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Mapping state transition susceptibility in quantum annealing
Physical Review Research, 2023 Quantum annealing is a novel type of analog computation that aims to use quantum-mechanical fluctuations to search for optimal solutions for Ising problems.
Elijah Pelofske
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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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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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