activity
20242026
most citedToward Quantum-Aware Machine Learning: Improved Prediction of Quantum Dissipative Dynamics via Complex Valued Neural Networks

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing physics.chem-phShow all

2 papers · 1 filter

physics.chem-ph2026★ 1 cited

Toward Quantum-Aware Machine Learning: Improved Prediction of Quantum Dissipative Dynamics via Complex Valued Neural Networks

Muhammad Atif, Arif Ullah, Ming Yang

Accurately modeling quantum dissipative dynamics remains challenging due to environmental complexity and non-Markovian memory effects. Although machine learning provides a promisin…

physics.chem-ph2024

Physics-Informed Neural Networks and Beyond: Enforcing Physical Constraints in Quantum Dissipative Dynamics

Arif Ullah, Yu Huang, Ming Yang +1

Neural networks (NNs) accelerate simulations of quantum dissipative dynamics. Ensuring that these simulations adhere to fundamental physical laws is crucial, but has been largely i…