Learning efficient erasure protocols for an underdamped memory

Fuente: arXiv
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Autori principali: Barros, Nicolas, Whitelam, Stephen, Ciliberto, Sergio, Bellon, Ludovic
Natura: Preprint
Pubblicazione: 2024
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author Barros, Nicolas
Whitelam, Stephen
Ciliberto, Sergio
Bellon, Ludovic
author_facet Barros, Nicolas
Whitelam, Stephen
Ciliberto, Sergio
Bellon, Ludovic
contents We apply evolutionary reinforcement learning to a simulation model in order to identify efficient time-dependent erasure protocols for a physical realization of a one-bit memory by an underdamped mechanical cantilever. We show that these protocols, when applied to the cantilever in the laboratory, are considerably more efficient than our best hand-designed protocols. The learned protocols allow reliable high-speed erasure by minimizing the heating of the memory during the operation. More generally, the combination of methods used here opens the door to the rational design of efficient protocols for a variety of physics applications.
format Preprint
id arxiv_https___arxiv_org_abs_2409_15050
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Learning efficient erasure protocols for an underdamped memory
Barros, Nicolas
Whitelam, Stephen
Ciliberto, Sergio
Bellon, Ludovic
Statistical Mechanics
We apply evolutionary reinforcement learning to a simulation model in order to identify efficient time-dependent erasure protocols for a physical realization of a one-bit memory by an underdamped mechanical cantilever. We show that these protocols, when applied to the cantilever in the laboratory, are considerably more efficient than our best hand-designed protocols. The learned protocols allow reliable high-speed erasure by minimizing the heating of the memory during the operation. More generally, the combination of methods used here opens the door to the rational design of efficient protocols for a variety of physics applications.
title Learning efficient erasure protocols for an underdamped memory
topic Statistical Mechanics
url https://arxiv.org/abs/2409.15050