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Quantum Machine Learning
Quantum Chemistry
Perspective of Fermi's golden rule and its generalizations in chemical physics
arXiv
Authors: Seogjoo J. Jang, Goun Kim, Young Min Rhee
Year
2026
Paper ID
39004
Status
Preprint
Abstract Read
~2 min
Abstract Words
67
Citations
N/A
Abstract
This perspective provides a succinct history of Fermi's golden rule (FGR), overview of its derivation, assumptions, and representative forms. Major applications of FGR, mostly in the field of chemical physics, are reviewed. These illustrate the broad applicability and success of FGR. Ambiguities and open issues encountered in practical applications of FGR are clarified. Recent advances in generalizations of FGR and computational methods for practical applications are addressed.
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- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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- This perspective provides a succinct history of Fermi's golden rule (FGR), overview of its derivation, assumptions, and representative forms.
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