Multiqubit and multilevel quantum reinforcement learning with quantum technologies.
We propose a protocol to perform quantum reinforcement learning with quantum technologies. At variance with recent results on quantum reinforcement learning with superconducting circuits, in our current protocol coherent feedback during the learning process is not required, enabling its implementati...
Main Authors: | F A Cárdenas-López, L Lamata, J C Retamal, E Solano |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC6053154?pdf=render |
Similar Items
-
Computational multiqubit tunnelling in programmable quantum annealers
by: Sergio Boixo, et al.
Published: (2016-01-01) -
Quantum Reinforcement Learning with Quantum Photonics
by: Lucas Lamata
Published: (2021-01-01) -
Novel Quantum Encryption Algorithm Based on Multiqubit Quantum Shift Register and Hill Cipher
by: Rifaat Zaidan Khalaf, et al.
Published: (2014-01-01) -
Basic protocols in quantum reinforcement learning with superconducting circuits
by: Lucas Lamata
Published: (2017-05-01) -
Simple scheme for multiqubit quantum controlled phase-flip gate with singlet-triplet spin qubits in nanowire double quantum dots
by: Fu Cheng-Zhi, et al.
Published: (2012-10-01)