Results 21 to 30 of about 116,832 (272)
Application of Quantum Annealing to Nurse Scheduling Problem
Scientific Reports, 2019 Quantum annealing is a promising heuristic method to solve combinatorial optimization problems, and efforts to quantify performance on real-world problems provide insights into how this approach may be best used in practice.
Kazuki Ikeda +2 more
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A quantum annealing approach to ionic diffusion in solids [PDF]
Scientific Reports, 2021 We have developed a framework for using quantum annealing computation to evaluate a key quantity in ionic diffusion in solids, the correlation factor.
Keishu Utimula +5 more
doaj +2 more sources
Demonstration of a Scaling Advantage for a Quantum Annealer over Simulated Annealing
Physical Review X, 2018 The observation of an unequivocal quantum speedup remains an elusive objective for quantum computing. A more modest goal is to demonstrate a scaling advantage over a class of classical algorithms for a computational problem running on quantum hardware ...
Tameem Albash, Daniel A. Lidar
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Nested Quantum Annealing Correction [PDF]
npj Quantum Information, 2015 We present a general error-correcting scheme for quantum annealing that allows for the encoding of a logical qubit into an arbitrarily large number of physical qubits.
Albash, Tameem +2 more
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Quantum Annealing - Foundations and Frontiers [PDF]
The European Physical Journal Special Topics, 2014 We briefly review various computational methods for the solution of optimization problems. First, several classical methods such as Metropolis algorithm and simulated annealing are discussed.
Cohen, Eliahu, Tamir, Boaz
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Quantum annealing of a frustrated magnet [PDF]
Nature CommunicationsQuantum annealing, which involves quantum tunnelling among possible solutions, has state-of-the-art applications not only in quickly finding the lowest-energy configuration of a complex system, but also in quantum computing.
Yuqian Zhao +6 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.
Manpreet Singh Jattana
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Quantum annealing with Jarzynski equality [PDF]
Physical Review Letters, 2010 We show a practical application of the Jarzynski equality in quantum computation. Its implementation may open a way to solve combinatorial optimization problems, minimization of a real single-valued function, cost function, with many arguments.
A. K. Hartmann +2 more
core +3 more sources
Pulsed Quantum Annealing [PDF]
Journal of the Physical Society of Japan, 2020 9 pages, 8 ...
Vasilios Karanikolas, Shiro Kawabata
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Modernizing quantum annealing using local searches [PDF]
New Journal of Physics, 2017 I describe how real quantum annealers may be used to perform local (in state space) searches around specified states, rather than the global searches traditionally implemented in the quantum annealing algorithm (QAA).
Nicholas Chancellor
doaj +4 more sources