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The nonequilibrium cost of accurate information processing

Computer Science

The nonequilibrium cost of accurate information processing

G. Chiribella, F. Meng, et al.

This groundbreaking research reveals a fundamental limit on the accuracy of information processing using nonequilibrium resources, pioneered by Giulio Chiribella, Fei Meng, Renato Renner, and Man-Hong Yung. Discover how this work delineates the optimal trade-offs between nonequilibrium and accuracy in quantum devices!... show more
Abstract
Accurate information processing is crucial both in technology and in nature. To achieve it, any information processing system needs an initial supply of resources away from thermal equilibrium. Here we establish a fundamental limit on the accuracy achievable with a given amount of nonequilibrium resources. The limit applies to arbitrary information processing tasks and arbitrary information processing systems subject to the laws of quantum mechanics. It is easily computable and is expressed in terms of an entropic quantity, which we name the reverse entropy, associated to a time reversal of the information processing task under consideration. The limit is achievable for all deterministic classical computations and for all their quantum extensions. As an application, we establish the optimal tradeoff between none-equilibrium and accuracy for the fundamental tasks of storing, transmitting, cloning, and erasing information. Our results set a target for the design of new devices approaching the ultimate efficiency limit, and provide a framework for demonstrating thermodynamical advantages of quantum devices over their classical counterparts.
Publisher
Nature Communications
Published On
Nov 22, 2022
Authors
Giulio Chiribella, Fei Meng, Renato Renner, Man-Hong Yung
Tags
nonequilibrium resources
quantum information processing
accuracy limit
reverse entropy
deterministic classical computations
quantum advantages
thermodynamics
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