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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Vydané v:	Frontiers in physics Ročník 5
Hlavní autori:	Neukart, Florian, Von Dollen, David, Seidel, Christian, Compostella, Gabriele
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Frontiers Media S.A 01.02.2018
Predmet:	quantum annealing quantum computing quantum-classical quantum-enhanced algorithms reinforcement learning
ISSN:	2296-424X, 2296-424X
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