- Physical Review Journals
All JournalsPhysics Magazine

Physical Review Research

Articles Citing

Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning

Paolo A. Erdman1, Alberto Rolandi2, Paolo Abiuso3, Martí Perarnau-Llobet2,*, and Frank Noé6,1,4,5,†

  • 1Department of Mathematics and Computer Science, Freie Universität Berlin, Arnimallee 6, 14195 Berlin, Germany
  • 2Department of Applied Physics, University of Geneva, 1211 Geneva, Switzerland
  • 3ICFO Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain
  • 4Department of Physics, Freie Universität Berlin, Arnimallee 6, 14195 Berlin, Germany
  • 5Department of Chemistry, Rice University, Houston, Texas 77005, USA
  • 6Microsoft Research AI4Science, Karl-Liebknecht Str. 32, 10178 Berlin, Germany

  • *marti.perarnaullobet@unige.ch
  • †frank.noe@fu-berlin.de

Fluctuations and stability of a fast-driven Otto cycle

Ana Laura Gramajo, Elisabetta Paladino, Jukka Pekola, and Rosario Fazio

Phys. Rev. B 107 195437 (2023)

Self-correcting quantum many-body control using reinforcement learning with tensor networks

Friederike Metz and Marin Bukov

Nat Mach Intell 5 780 (2023)

Select page:

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation