[HTML][HTML] Numerically “exact” approach to open quantum dynamics: The hierarchical equations of motion (HEOM)

Y Tanimura - The Journal of chemical physics, 2020 - pubs.aip.org
An open quantum system refers to a system that is further coupled to a bath system
consisting of surrounding radiation fields, atoms, molecules, or proteins. The bath system is …

HEOM‐QUICK2: A general‐purpose simulator for fermionic many‐body open quantum systems—An update

D Zhang, L Ye, J Cao, Y Wang, RX Xu… - Wiley …, 2024 - Wiley Online Library
Many‐body open quantum systems (OQSs) have a profound impact on various
subdisciplines of physics, chemistry, and biology. Thus, the development of a computer …

Predicting the future of excitation energy transfer in light-harvesting complex with artificial intelligence-based quantum dynamics

A Ullah, PO Dral - Nature communications, 2022 - nature.com
Exploring excitation energy transfer (EET) in light-harvesting complexes (LHCs) is essential
for understanding the natural processes and design of highly-efficient photovoltaic devices …

A comparative study of different machine learning methods for dissipative quantum dynamics

LEH Rodríguez, A Ullah, KJR Espinosa… - Machine Learning …, 2022 - iopscience.iop.org
It has been recently shown that supervised machine learning (ML) algorithms can accurately
and efficiently predict long-time population dynamics of dissipative quantum systems given …

Speeding up quantum dissipative dynamics of open systems with kernel methods

A Ullah, PO Dral - New Journal of Physics, 2021 - iopscience.iop.org
The future forecasting ability of machine learning (ML) makes ML a promising tool for
predicting long-time quantum dissipative dynamics of open systems. In this article, we …

MLQD: A package for machine learning-based quantum dissipative dynamics

A Ullah, PO Dral - Computer Physics Communications, 2024 - Elsevier
Abstract Machine learning has emerged as a promising paradigm to study the quantum
dissipative dynamics of open quantum systems. To facilitate the use of our recently …

Modeling the unphysical pseudomode model with physical ensembles: simulation, mitigation, and restructuring of non-Markovian quantum noise

M Cirio, S Luo, P Liang, F Nori, N Lambert - Physical Review Research, 2024 - APS
The influence of a Gaussian environment on a quantum system can be described by
effectively replacing the continuum with a discrete set of ancillary quantum and classical …

Quantum neural network approach to Markovian dissipative dynamics of many-body open quantum systems

C Long, L Cao, L Ge, QX Li, YJ Yan, RX Xu… - The Journal of …, 2024 - pubs.aip.org
Numerous variational methods have been proposed for solving quantum many-body
systems, but they often face exponentially increasing computational complexity as the …

Quantum-classical decomposition of Gaussian quantum environments: A stochastic pseudomode model

S Luo, N Lambert, P Liang, M Cirio - PRX Quantum, 2023 - APS
We show that the effect of a Gaussian bosonic environment linearly coupled to a quantum
system can be simulated by a stochastic Lindblad master equation characterized by a set of …

Pseudofermion method for the exact description of fermionic environments: From single-molecule electronics to the Kondo resonance

M Cirio, N Lambert, P Liang, PC Kuo, YN Chen… - Physical Review …, 2023 - APS
We develop a discrete fermion approach for modeling the strong interaction of an arbitrary
system interacting with continuum electronic reservoirs. The approach is based on a …