BibTex format
@article{Wolpert:2024:10.1073/pnas.2321112121,
author = {Wolpert, DH and Korbel, J and Lynn, CW and Tasnim, F and Grochow, JA and Karde, G and Aimone, JB and Balasubramanian, V and De, Giuli E and Doty, D and Freitas, N and Marsili, M and Ouldridge, TE and Richa, AW and Riechers, P and Roldán, É and Rubenstein, B and Toroczkai, Z and Paradiso, J},
doi = {10.1073/pnas.2321112121},
journal = {Proceedings of the National Academy of Sciences of USA},
title = {Is stochastic thermodynamics the key to understanding the energy costs of computation},
url = {http://dx.doi.org/10.1073/pnas.2321112121},
volume = {121},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - The relationship between the thermodynamic and computational properties of physical systems has been a major theoretical interest since at least the 19th century. It has also become of increasing practical importance over the last half-century as the energetic cost of digital devices has exploded. Importantly, real-world computers obey multiple physical constraints on how they work, which affects their thermodynamic properties. Moreover, many of these constraints apply to both naturally occurring computers, like brains or Eukaryotic cells, and digital systems. Most obviously, all such systems must finish their computation quickly, using as few degrees of freedom as possible. This means that they operate far from thermal equilibrium. Furthermore, many computers, both digital and biological, are modular, hierarchical systems with strong constraints on the connectivity among their subsystems. Yet another example is that to simplify their design, digital computers are required to be periodic processes governed by a global clock. None of these constraints were considered in 20th-century analyses of the thermodynamics of computation. The new field of stochastic thermodynamics provides formal tools for analyzing systems subject to all of these constraints. We argue here that these tools may help us understand at a far deeper level just how the fundamental thermodynamic properties of physical systems are related to the computation they perform.
AU - Wolpert,DH
AU - Korbel,J
AU - Lynn,CW
AU - Tasnim,F
AU - Grochow,JA
AU - Karde,G
AU - Aimone,JB
AU - Balasubramanian,V
AU - De,Giuli E
AU - Doty,D
AU - Freitas,N
AU - Marsili,M
AU - Ouldridge,TE
AU - Richa,AW
AU - Riechers,P
AU - Roldán,É
AU - Rubenstein,B
AU - Toroczkai,Z
AU - Paradiso,J
DO - 10.1073/pnas.2321112121
PY - 2024///
SN - 0027-8424
TI - Is stochastic thermodynamics the key to understanding the energy costs of computation
T2 - Proceedings of the National Academy of Sciences of USA
UR - http://dx.doi.org/10.1073/pnas.2321112121
UR - https://www.pnas.org/doi/10.1073/pnas.2321112121
UR - http://hdl.handle.net/10044/1/115166
VL - 121
ER -