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Adiabatic computing for optimal thermodynamic efficiency of information processing.

Salambô Dago1, Sergio Ciliberto1, Ludovic Bellon1

  • 1Univ Lyon, ENS de Lyon, CNRS, Laboratoire de Physique, F-69342 Lyon, France.

Proceedings of the National Academy of Sciences of the United States of America
|September 20, 2023
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Summary

Erasing digital information requires energy. Underdamped systems minimize this energy cost during fast erasure, achieving adiabatic processes and reaching Landauer

Keywords:
Landauer’s boundadiabatic limitinformation theorystochastic thermodynamicsthermal noise

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Area of Science:

  • Thermodynamics
  • Information Theory
  • Statistical Mechanics

Background:

  • Landauer's principle establishes a fundamental link between information and thermodynamics.
  • Erasing one bit of information at temperature T necessitates energy exceeding kT.
  • Previous experiments achieved this limit using slow, quasistatic processes.

Purpose of the Study:

  • To investigate energy-efficient methods for fast information erasure.
  • To explore the role of underdamped systems in reducing erasure energy overhead.
  • To theoretically and experimentally validate adiabatic processes for fast erasure protocols.

Main Methods:

  • Utilizing underdamped systems to minimize energy dissipation during fast erasure.
  • Developing and applying a fast, optimal erasure protocol.
  • Conducting theoretical analysis and experimental validation of system dynamics.

Main Results:

  • Underdamped systems significantly reduce the energy overhead associated with fast information erasure.
  • Fast erasure protocols in the limit of vanishing dissipation are shown to be adiabatic, with no heat exchange.
  • A maximum adiabatic temperature of kT is achieved during optimal fast erasure, with the erasure bound becoming the adiabatic bound.

Conclusions:

  • Underdamped systems offer a viable strategy for energy-efficient fast information erasure.
  • Adiabaticity is key to achieving Landauer's limit during high-speed erasure.
  • This research bridges the gap between theoretical limits and practical implementations in thermodynamic computing.