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...
Main Authors: | Florian Neukart, David Von Dollen, Christian Seidel, Gabriele Compostella |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2018-02-01
|
Series: | Frontiers in Physics |
Subjects: | |
Online Access: | http://journal.frontiersin.org/article/10.3389/fphy.2017.00071/full |
Similar Items
-
Quantum-Assisted Cluster Analysis on a Quantum Annealing Device
by: Florian Neukart, et al.
Published: (2018-06-01) -
Modernizing quantum annealing using local searches
by: Nicholas Chancellor
Published: (2017-01-01) -
Quantum annealing with twisted fields
by: Takashi Imoto, et al.
Published: (2022-01-01) -
Performance analysis of a hybrid agent for quantum-accessible reinforcement learning
by: Arne Hamann, et al.
Published: (2022-01-01) -
Quantum Reinforcement Learning with Quantum Photonics
by: Lucas Lamata
Published: (2021-01-01)