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3 - Physics Preliminaries

from Part I - Preliminaries

Published online by Cambridge University Press:  20 July 2026

Max Welling
Affiliation:
CuspAI and University of Amsterdam
Sirui Lu
Affiliation:
Max-Planck-Institut für Quantenoptik
Lars Holdijk
Affiliation:
University of Oxford
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Summary

In this chapter, we aim to provide a short overview of statistical physics and thermodynamics. Both are major fields within physics on which numerous books have been written (Landau and Lifshitz, 1980; Huang, 1987). Attempting to come even close to full coverage of these topics herewould be futile and unnecessary. Rather,we will focus on topics most relevant to highlighting the similarities between the physics of these fields and the methods of generative AI that we will cover in the remainder of the book.

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  • Physics Preliminaries
  • Max Welling, CuspAI and University of Amsterdam, Sirui Lu, Max-Planck-Institut für Quantenoptik, Lars Holdijk, University of Oxford
  • Book: Generative AI and Stochastic Thermodynamics
  • Online publication: 20 July 2026
  • Chapter DOI: https://doi.org/10.1017/9781009709071.005
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  • Physics Preliminaries
  • Max Welling, CuspAI and University of Amsterdam, Sirui Lu, Max-Planck-Institut für Quantenoptik, Lars Holdijk, University of Oxford
  • Book: Generative AI and Stochastic Thermodynamics
  • Online publication: 20 July 2026
  • Chapter DOI: https://doi.org/10.1017/9781009709071.005
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Physics Preliminaries
  • Max Welling, CuspAI and University of Amsterdam, Sirui Lu, Max-Planck-Institut für Quantenoptik, Lars Holdijk, University of Oxford
  • Book: Generative AI and Stochastic Thermodynamics
  • Online publication: 20 July 2026
  • Chapter DOI: https://doi.org/10.1017/9781009709071.005
Available formats
×