Optimal parameters in a two-parameter family of time-dependent dissipation rates are determined to maximize speed-up in multi-step Pontus-Mpemba protocols for open quantum systems.
Self-correcting quantum many-body control using rein- forcement learning with tensor networks.Nature Machine Intelligence, 5(7):780–791, Jul 2023
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Optimal speed-up of multi-step Pontus-Mpemba protocols
Optimal parameters in a two-parameter family of time-dependent dissipation rates are determined to maximize speed-up in multi-step Pontus-Mpemba protocols for open quantum systems.