Adiabatic computing for optimal thermodynamic efficiency of information processing

TL;DR

This paper demonstrates that underdamped systems enable thermally insulated, adiabatic information erasure at high speeds, minimizing energetic costs and reaching the fundamental Landauer limit.

Contribution

It provides experimental and theoretical evidence that underdamped systems can achieve adiabatic, thermally insulated erasures, reducing energy overheads in fast information processing.

Findings

Underdamped systems reduce energetic overhead during fast erasures.

Fast protocols in underdamped systems are thermally insulated from the environment.

Landauer's bound is approached in the adiabatic limit with underdamped systems.

Abstract

Landauer's principle makes a strong connection between information theory and thermodynamics by stating that erasing a one-bit memory at temperature $T_0$ requires an average energy larger than $W_{LB}=k_BT_0 \ln2$, with $k_B$ Boltzmann's constant. This tiny limit has been saturated in model experiments using quasi-static processes. For faster operations, an overhead proportional to the processing speed and to the memory damping appears. In this article, we show that underdamped systems are a winning strategy to reduce this extra energetic cost. We prove both experimentally and theoretically that, in the limit of vanishing dissipation mechanisms in the memory, the physical system is thermally insulated from its environment during fast erasures, i.e. fast protocols are adiabatic as no heat is exchanged with the bath. Using a fast optimal erasure protocol we also show that these adiabatic processes produce a maximum adiabatic temperature $T_a=2T_0$, and that Landauer's bound for fast erasures in underdamped systems becomes the adiabatic bound: $W_a = k_B T_0$.