How to train your demon to do fast information erasure without heat production.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 02 06 2023
accepted: 05 09 2023
medline: 18 11 2023
pubmed: 18 11 2023
entrez: 18 11 2023
Statut: ppublish

Résumé

Time-dependent protocols that perform irreversible logical operations, such as memory erasure, cost work and produce heat, placing bounds on the efficiency of computers. Here we use a prototypical computer model of a physical memory to show that it is possible to learn feedback-control protocols to do fast memory erasure without input of work or production of heat. These protocols, which are enacted by a neural-network "demon," do not violate the second law of thermodynamics because the demon generates more heat than the memory absorbs. The result is a form of nonlocal heat exchange in which one computation is rendered energetically favorable while a compensating one produces heat elsewhere, a tactic that could be used to rationally design the flow of energy within a computer.

Identifiants

pubmed: 37978603
doi: 10.1103/PhysRevE.108.044138
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

044138

Auteurs

Stephen Whitelam (S)

Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.

Classifications MeSH