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Pre-Cooling Strategy Allows Exponentially Faster Heating

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Oren Raz, Amit Gal

Statistical Mechanics · Submitted 13 Sep 2019

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim However, we show that often it is possible to achieve an exponentially faster heating, and propose a strategy to find the optimal protocol.

how it is stated · asserted 0.67 read the record →

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arXiv ID1909.06113 (version 1)
Pith IDOY3XTO35, Pith's permanent record of this paper and its review
CitationAmit Gal, Oren Raz. "Pre-Cooling Strategy Allows Exponentially Faster Heating." arXiv:1909.06113 (2019). https://pith.science/paper/OY3XTO35
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,138 input tokens.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.16 · human participants 0.02 · controlled comparison 0.58 · randomized assignment 0.01 · states quantitative result 0.11 · compares with prior results 0.78 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

What is the fastest way to heat a system which is coupled to a temperature controlled oven? The intuitive answer is to use only the hottest temperature available. However, we show that often it is possible to achieve an exponentially faster heating, and propose a strategy to find the optimal protocol. Surprisingly, this protocol can have a pre-cooling stage -- cooling the system before heating it shortens the heating time significantly. This approach can be applied to many-body systems, as we demonstrate in the 2D antiferromagnet Ising model.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 What is the fastest way to heat a system which is coupled to a temperature controlled oven? background 0.98 0.04 0.02 unclear 0.98
s1 The intuitive answer is to use only the hottest temperature available. background 1.00 0.04 0.02 asserted 0.95
s2 However, we show that often it is possible to achieve an exponentially faster heating, and propose a strategy to find the optimal protocol. contribution 0.78 0.90 0.77 asserted 0.67
s3 Surprisingly, this protocol can have a pre-cooling stage -- cooling the system before heating it shortens the heating time significantly. result 0.93 0.87 0.61 asserted 0.91
s4 This approach can be applied to many-body systems, as we demonstrate in the 2D antiferromagnet Ising model. contribution 0.58 0.89 0.08 asserted 0.97

What kind of paper the classifier reports this is: method or tool 0.80 · evidence from simulation or computation 0.81.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

What is the fastest way to heat a system which is coupled to a temperature controlled oven? The intuitive answer is to use only the hottest temperature available. However, we show that often it is possible to achieve an exponentially faster heating, and propose a strategy to find the optimal protocol. Surprisingly, this protocol can have a pre-cooling stage -- cooling the system before heating it shortens the heating time significantly. This approach can be applied to many-body systems, as we demonstrate in the 2D antiferromagnet Ising model.

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Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

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