Semiclassical Dynamics in Wigner Phase Space I : Adiabatic Hybrid Wigner Dynamics
Shreyas Malpathak, Nandini Ananth

TL;DR
This paper introduces Adiabatic Hybrid Wigner Dynamics (AHWD), a new semiclassical method combining DHK and LSC approximations to efficiently simulate quantum dynamics with reduced sign problems.
Contribution
The paper derives the AHWD method, enabling hybrid treatment of system and bath degrees of freedom in Wigner phase space for adiabatic processes, improving accuracy and computational feasibility.
Findings
AHWD captures quantum interference effects accurately.
It significantly reduces the sign problem in complex simulations.
Demonstrates effectiveness on coupled oscillators and vibrational decoherence models.
Abstract
The Wigner phase space formulation of quantum mechanics is a complete framework for quantum dynamic calculations that elegantly highlights connections with classical dynamics. In this series of two articles, building upon previous efforts, we derive the full hierarchy of approximate semiclassical (SC) dynamic methods for adiabatic and non-adiabatic problems in Wigner phase space. In paper I, focusing on adiabatic single surface processes, we derive the well-known Double Herman-Kluk (DHK) approximation for real-time correlation functions in Wigner phase space, and connect it to the Linearized SC (LSC) approximation through a stationary phase approximation. We exploit this relationship to introduce a new hybrid SC method, termed Adiabatic Hybrid Wigner Dynamics (AHWD) that allows for a few important `system' degrees of freedom (dofs) to be treated at the DHK level, while treating the rest…
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
TopicsCold Atom Physics and Bose-Einstein Condensates · Quantum chaos and dynamical systems · Nonlinear Dynamics and Pattern Formation
