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Control of Stochastic Quantum Dynamics by Differentiable Programming
v1v2 (latest)

Control of Stochastic Quantum Dynamics by Differentiable Programming

4 January 2021
Frank Schafer
P. Sekatski
M. Koppenhöfer
C. Bruder
M. Kloc
ArXiv (abs)PDFHTMLGithub

Papers citing "Control of Stochastic Quantum Dynamics by Differentiable Programming"

4 / 4 papers shown
Sample-efficient Model-based Reinforcement Learning for Quantum Control
Sample-efficient Model-based Reinforcement Learning for Quantum ControlPhysical Review Research (Phys. Rev. Res.), 2023
Irtaza Khalid
C. Weidner
E. Jonckheere
Sophie G. Shermer
F. Langbein
314
18
0
19 Apr 2023
Near-optimal control of dynamical systems with neural ordinary
  differential equations
Near-optimal control of dynamical systems with neural ordinary differential equations
Lucas Böttcher
Thomas Asikis
AI4CE
209
27
0
22 Jun 2022
Model-free optimization of power/efficiency tradeoffs in quantum thermal
  machines using reinforcement learning
Model-free optimization of power/efficiency tradeoffs in quantum thermal machines using reinforcement learningPNAS Nexus (PNAS Nexus), 2022
P. A. Erdman
Frank Noé
229
12
0
10 Apr 2022
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming
  in Julia
AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia
Frank Schafer
Mohamed Tarek
Lyndon White
Chris Rackauckas
301
5
0
25 Sep 2021
1
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