Quantum-Enhanced Reinforcement Learning for Finite-Episode Games with Discrete State Spaces

Quantum annealing algorithms belong to the class of metaheuristic tools, applicable for solving binary optimization problems. Hardware implementations of quantum annealing, such as the quantum annealing machines produced by D-Wave Systems [1], have been subject to multiple analyses in research, with...

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Bibliographic Details

Published in:	Frontiers in physics Vol. 5
Main Authors:	Neukart, Florian, Von Dollen, David, Seidel, Christian, Compostella, Gabriele
Format:	Journal Article
Language:	English
Published:	Frontiers Media S.A 01.02.2018
Subjects:	quantum annealing quantum computing quantum-classical quantum-enhanced algorithms reinforcement learning
ISSN:	2296-424X, 2296-424X
Online Access:	Get full text
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