MétaCan
Menu
Back to cohort
Record W4200326917 · doi:10.1116/5.0065123

Fluctuation theorem for nonunital dynamics

2021· article· en· W4200326917 on OpenAlexaff
John Goold, Kavan Modi

Bibliographic record

VenueAVS Quantum Science · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsTrinity College
FundersMinistry of Education - SingaporeNational Research Foundation SingaporeEuropean Cooperation in Science and TechnologyRoyal SocietyJohn Templeton Foundation
KeywordsFormalism (music)Statistical physicsQuantumOpen system (computing)Dynamical systems theoryHelmholtz free energyDimension (graph theory)PhysicsMathematicsTheoretical physicsComputer scienceQuantum mechanicsPure mathematics

Abstract

fetched live from OpenAlex

We derive an expression for the fluctuations of the energy in an open quantum system undergoing a nontrivial evolution. The statistics of energy are constructed by means of a two-point measurement process when the system has been evolved by a completely positive and trace-preserving map. The statistics depend only on the state of the system and the dynamical map generating the evolution. In particular, we consider the Tasaki–Crooks fluctuation theorem, where a unitary evolution is replaced by a quantum channel. Our construction of a backward process using an ancilla sheds important light on the mathematical structure at play when nonunital channels are considered in quantum thermodynamics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.278
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueAVS Quantum ScienceSame topicAdvanced Thermodynamics and Statistical MechanicsFrench-language works237,207