Universal Prony fitting decomposition for optimized hierarchical quantum master equations
Zi-Hao Chen, Yao Wang, Xiao Zheng, Rui-Xue Xu, YiJing Yan

TL;DR
This paper introduces a universal Prony fitting decomposition method that enhances the efficiency and accuracy of hierarchical quantum master equations, especially at low temperatures, by optimizing the HEOM formalism for complex bath correlation functions.
Contribution
The paper presents a novel Prony fitting decomposition technique that improves the hierarchical equations of motion for quantum systems, outperforming existing methods like Padé spectrum decomposition.
Findings
PFD accurately models arbitrary bath correlation functions.
Optimized HEOM formalism enables simulations at extremely low temperatures.
Demonstrated effectiveness on the single-impurity Anderson model.
Abstract
In this work, we propose the Prony fitting decomposition (PFD) as an accurate and efficient exponential series method, applicable to arbitrary interacting bath correlation functions. The resulting hierarchical equations of motion (HEOM) formalism is greatly optimized, especially in extremely low temperature regimes that would be inaccessible with other methods. For demonstration, we calibrate the present PFD against the celebrated Pad\'e spectrum decomposition method, followed by converged HEOM evaluations on the single-impurity Anderson model system.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Physics of Superconductivity and Magnetism · Quantum and electron transport phenomena
