Stochastic Representation of Non-Markovian Fermionic Quantum Dissipation
Lu Han, Vladimir Chernyak, Yun-An Yan, Xiao Zheng, YiJing Yan

TL;DR
This paper introduces a novel stochastic equation of motion approach for simulating non-Markovian fermionic quantum dissipation, enabling accurate and feasible calculations for open quantum systems with fermion baths.
Contribution
It maps Grassmann-valued stochastic fields onto Gaussian noises and pseudo-states, providing a new numerical method for fermionic open systems.
Findings
Exact results for noninteracting systems
Accurate approximations for interacting systems
Validated by simulations on a single-impurity Anderson model
Abstract
Quantum Brownian motion plays a fundamental role in many areas of modern physics. In the path-integral formulation, the environmental quantum fluctuations driving the system dynamics can be characterized by auxiliary stochastic fields. For fermion bath environment the stochastic fields are Grassmann-valued, and cannot be represented by conventional classical numbers. In this Letter, we propose a strategy to map the nonclassical Grassmann fields onto Gaussian white noises along with a set of quantized pseudo-states. This results in a numerically feasible stochastic equation of motion (SEOM) method for fermionic open systems. The SEOM yields exact physical observables for noninteracting systems, and accurate approximate results for interacting systems. The practicality and accuracy of the proposed SEOM are exemplified by direct stochastic simulations conducted on a single-impurity…
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