Revisiting thermodynamics in computation and information theory
Pritam Chattopadhyay, Goutam Paul

TL;DR
This paper reviews the evolution of understanding the thermodynamic costs of computation and error correction, from Landauer's principle to modern models, highlighting advances in physics and alternative cost-efficient computation methods.
Contribution
It provides a comprehensive review of the progress in thermodynamics of computation, linking statistical mechanics with computational processes and error correction techniques.
Findings
Thermodynamic cost of bit erasure is linked to Landauer's principle.
Advances in physics have improved understanding of computational thermodynamics.
Alternative models aim to reduce thermodynamic costs in computation.
Abstract
One of the primary motivations of the research in the field of computation is to optimize the cost of computation. The major ingredient that a computer needs is the energy to run a process, i.e., the thermodynamic cost. The analysis of the thermodynamic cost of computation is one of the prime focuses of research. It started back since the seminal work of Landauer where it was commented that the computer spends kB T ln2 amount of energy to erase a bit of information (here T is the temperature of the system and kB represents the Boltzmann's constant). The advancement of statistical mechanics has provided us the necessary tool to understand and analyze the thermodynamic cost for the complicated processes that exist in nature, even the computation of modern computers. The advancement of physics has helped us to understand the connection of the statistical mechanics (the thermodynamics cost)…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Advanced Thermodynamics and Statistical Mechanics · Quantum Information and Cryptography
