Reinforcement learning enhanced quantum-inspired algorithm for combinatorial optimization

Quantum hardware and quantum-inspired algorithms are becoming increasingly popular for combinatorial optimization. However, these algorithms may require careful hyperparameter tuning for each problem instance. We use a reinforcement learning agent in conjunction with a quantum-inspired algorithm to...

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Bibliographic Details

Published in:	Machine learning: science and technology Vol. 2; no. 2; pp. 25009 - 25020
Main Authors:	Beloborodov, Dmitrii, Ulanov, A E, Foerster, Jakob N, Whiteson, Shimon, Lvovsky, A I
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.06.2021
Subjects:	Algorithms Combinatorial analysis combinatorial optimization Ising model Machine learning maximum cut Optimization reinforcement learning Training Tuning
ISSN:	2632-2153, 2632-2153
Online Access:	Get full text
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