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Quantum Machine Learning
Exploiting the path-integral radius of gyration in open quantum dynamics
arXiv
Authors: Andrew C. Hunt, Stuart C. Althorpe
Year
2026
Paper ID
796
Status
Preprint
Abstract Read
~2 min
Abstract Words
161
Citations
N/A
Abstract
A major challenge in open quantum dynamics is the inclusion of Matsubara-decay terms in the memory kernel, which arise from the quantum-Boltzmann delocalisation of the bath modes. This delocalisation can be quantified by the radius of gyration squared {mathcal R}2(ω) of the imaginary-time Feynman paths of the bath modes as a function of the frequency ω. In a Hierarchical Equations of Motion (HEOM) calculation with a Debye--Drude spectral density, {mathcal R}2(ω) is the only quantity that is treated approximately (assuming convergence with respect to hierarchy depth). Here, we show that the well-known Ishizaki--Tanimura correction is equivalent to separating smooth from `Brownian' contributions to {mathcal R}2(ω), and that modifying the correction leads to a more efficient HEOM in the case of fast baths. We also develop a simple `A4' adaptation of the `AAA' (Adaptive Antoulas--Anderson) algorithm in order to fit {mathcal R}2(ω) to a sum over poles, which results in an extremely efficient implementation of the standard HEOM method at low temperatures.
Why This Paper Matters
- This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- A major challenge in open quantum dynamics is the inclusion of Matsubara-decay terms in the memory kernel, which arise from the quantum-Boltzmann delocalisation of the bath modes.
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