38 citations · 212 across the 12 of their papers we have counts for
12 papers
Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models
Fuchun Ge, Lina Zhang, Yi-Fan Hou +3
We demonstrate that AI can learn atomistic systems in the four-dimensional (4D) spacetime. For this, we introduce the 4D-spacetime GICnet model which for the given initial conditio…
MLQD: A package for machine learning-based quantum dissipative dynamics
Arif Ullah, Pavlo O. Dral
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 published ML-based app…
QD3SET-1: A Database with Quantum Dissipative Dynamics Data Sets
Arif Ullah, Luis E. Herrera Rodriguez, Pavlo O. Dral +1
Simulations of the dynamics of dissipative quantum systems utilize many methods such as physics-based quantum, semiclassical, and quantum-classical as well as machine learning-base…
A comparative study of different machine learning methods for dissipative quantum dynamics
Luis E. Herrera Rodriguez, Arif Ullah, Kennet J. Rueda Espinosa +2
It has been recently shown that supervised machine learning (ML) algorithms can accurately and efficiently predict the long-time populations dynamics of dissipative quantum systems…
One-shot trajectory learning of open quantum systems dynamics
Arif Ullah, Pavlo O. Dral
Nonadiabatic quantum dynamics are important for understanding light-harvesting processes, but their propagation with traditional methods can be rather expensive. Here we present a…
Probing tripartite entanglement and coherence dynamics in pure and mixed independent classical environments
Atta Ur Rahman, Muhammad Javed, Arif Ullah +6
Quantum information processing exploits non-local functionality that has led to significant breakthroughs in the successful deployment of quantum mechanical protocols. In this rega…