15 citations · 19 across the 5 of their papers we have counts for
9 papers
Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment
Zhao-Wei Wang, Hong-Yang Ma, Yun-An Yan +2
High-precision quantum control is essential for quantum computing and quantum information processing. However, its practical implementation is challenged by environmental noise, wh…
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…
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…
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…
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…
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…