Memory erasure with finite-sized spin reservoir
Toshio Croucher, Joan A. Vaccaro

TL;DR
This paper investigates the limits of memory erasure using finite-sized spin reservoirs, comparing the erasure cost and efficiency to the ideal infinite reservoir case, and analyzing the effects of reservoir size and reuse.
Contribution
It provides a quantitative analysis of finite-sized spin reservoirs for memory erasure, extending previous infinite reservoir models and exploring practical implications.
Findings
Finite reservoirs erase less information than infinite ones.
Reservoir size affects the erasure cost and efficiency.
Repeated use degrades erasure performance.
Abstract
Landauer's erasure principle puts a fundamental constraint on the amount of work required to erase information using thermal reservoirs. Recently this bound was improved to include corrections for finite-sized thermal reservoirs. In conventional information-erasure schemes, conservation of energy plays a key role with the cost of erasure. However, it has been shown that erasure can be achieved through the manipulation of spin angular momentum rather than energy, using a reservoir composed of energy-degenerate spin particles under the constraint of the conservation of spin angular momentum, in the limit of an infinite number of particles. In this case the erasure cost is in terms of dissipation of spin angular momentum. Here we analyze the erasure of memory using a finite-sized spin reservoir. We compute the erasure cost to compare it with its infinite counterpart and determine what size…
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Taxonomy
TopicsStatistical Mechanics and Entropy · Advanced Thermodynamics and Statistical Mechanics · Quantum Information and Cryptography
