Evidence map›Paper›PMID 42028155›Full record

ArticlePNAS nexus2026

Entropy production bounds for systems running computer programs.

Abhishek Yadav, Francesco Caravelli, David Wolpert

Abstract read
In one paragraph

Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Abhishek YadavSanta Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA.ORCID https://orcid.org/0009-0000-0145-2349
Francesco CaravelliTheoretical Division (T-4), Los Alamos National Laboratory, Los Alamos, NM 87545, USA.ORCID https://orcid.org/0000-0001-7964-3030
David WolpertSanta Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA.ORCID https://orcid.org/0000-0003-3105-2869

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mismatch cost (MMC) is a universally applicable lower bound on the entropy production (EP) of any fixed physical process across a given time interval. In the first part of the article, we establish results concerning MMC to prove that it scales at least linearly with the total heat flow in the worst case over initial distributions. We also prove that the MMC lower bound over a given time interval never decreases if the time interval is subdivided into a sequence of subintervals, and that the bound often increases. In the second part of the article, we introduce a general framework for computing the minimal EP (ie the MMC) associated with running a computer program on any physical system that implements a modern digital computer. We apply this general framework to compare MMC of running two canonical sorting algorithms, bubble sort and bucket sort. The framework enables us to investigate how thermodynamic cost depends on features like input size and structure (eg with or without repeated entries). Finally, we extend the framework to programs that call subroutines.

Indexed as

computer programsentropy productionmismatch costnonequilibrium thermodynamicsthermodynamic cost of computation

Identifiers

PMID42028155
PMCPMC13101992

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.