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20082025
most citedStochastic Representation of Non-Markovian Fermionic Quantum Dissipation

40 citations · 150 across the 12 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cond-mat.stat-mech2019★ 34 cited

Stochastic Equation of Motion Approach to Fermionic Dissipative Dynamics. I. Formalism

Lu Han, Arif Ullah, Yun-An Yan +3

In this work, we establish formally exact stochastic equations of motion (SEOM) theory to describe the dissipative dynamics of fermionic open systems. The construction of the SEOM…

cond-mat.stat-mech2019★ 24 cited

Stochastic Equation of Motion Approach to Fermionic Dissipative Dynamics. II. Numerical Implementation

Arif Ullah, Lu Han, Yun-An Yan +3

This paper provides a detailed account of the numerical implementation of the stochastic equation of motion (SEOM) method for the dissipative dynamics of fermionic open quantum sys…

physics.chem-ph2019★ 3 cited

High-order strong methods for stochastic differential equations with colored noises

Shuanglin Sun, Yun-An Yan

The key difficulty to develop efficient high-order methods for integrating stochastic differential equations lies in the calculations of the multiple stochastic integrals. This let…

quant-ph2019★ 7 cited

Accessing the bath information in open quantum systems with the stochastic c-number Langevin equation method

Zheng-Yang Zhou, Yun-An Yan, Stephen Hughes +2

In traditional open quantum systems, the baths are usually traced out so that only the system information is left in the equations of motion. However, recent studies reveal that us…

cond-mat.stat-mech2019★ 1 cited

Energy Flux in Hierarchical Equations of Motion Method and Its Application to a Three-Level Heat Engine

Yun Zhou, Tie-Jun Xiao, Jun Cao +1

We derive the formula of energy flux for the hierarchical equations of motion (HEOM) method with the help of stochastic decoupling technique. The resulting expression is a combinat…