# Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal   Symmetries

**Authors:** Gregory Wimsatt, Olli-Pentti Saira, Alexander B. Boyd, Matthew H., Matheny, Siyuan Han, Michael L. Roukes, and James P. Crutchfield

arXiv: 1906.11973 · 2021-08-11

## TL;DR

This paper experimentally reveals structured work distributions during bit erasure, linked to time-reversal symmetries, and introduces fluctuation theorems that improve understanding of entropy production and dissipation in nanoscale thermodynamic computing.

## Contribution

It introduces a new class of fluctuation theorems based on time-reversal symmetries, providing a diagnostic tool for thermodynamic computing at the nanoscale.

## Key findings

- Structured work distributions observed during bit erasure.
- Verification of new fluctuation theorems in superconducting circuits.
- Enhanced estimates of dissipated heat and entropy production.

## Abstract

We experimentally demonstrate that highly structured distributions of work emerge during even the simple task of erasing a single bit. These are signatures of a refined suite of time-reversal symmetries in distinct functional classes of microscopic trajectories. As a consequence, we introduce a broad family of conditional fluctuation theorems that the component work distributions must satisfy. Since they identify entropy production, the component work distributions encode both the frequency of various mechanisms of success and failure during computing, as well giving improved estimates of the total irreversibly-dissipated heat. This new diagnostic tool provides strong evidence that thermodynamic computing at the nanoscale can be constructively harnessed. We experimentally verify this functional decomposition and the new class of fluctuation theorems by measuring transitions between flux states in a superconducting circuit.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1906.11973/full.md

## References

42 references — full list in the complete paper: https://tomesphere.com/paper/1906.11973/full.md

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Source: https://tomesphere.com/paper/1906.11973