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Learning out-of-time-ordered correlators with classical kernel methods
v1v2 (latest)

Learning out-of-time-ordered correlators with classical kernel methods

Physical review B (PRB), 2024
3 September 2024
John Tanner
Jason Pye
Jingbo Wang
ArXiv (abs)PDFHTMLGithub

Papers citing "Learning out-of-time-ordered correlators with classical kernel methods"

2 / 2 papers shown
A rigorous and robust quantum speed-up in supervised machine learning
A rigorous and robust quantum speed-up in supervised machine learningNature Physics (Nat. Phys.), 2020
Yunchao Liu
Srinivasan Arunachalam
K. Temme
779
701
0
05 Oct 2020
Supervised learning with quantum enhanced feature spaces
Supervised learning with quantum enhanced feature spaces
Vojtěch Havlíček
A. Córcoles
K. Temme
A. Harrow
A. Kandala
J. Chow
J. Gambetta
562
2,379
0
30 Apr 2018
1
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