4 papers
Certified Quantum Schrödinger Control via Hierarchical Tucker Models
Nahid Binandeh Dehaghani, Rafal Wisniewski, A. Pedro Aguiar
High-dimensional Schrödinger systems arising from tensor-product discretizations suffer from exponential state growth, making direct controller synthesis and real-time closed-loop…
A Trainable-Embedding Quantum Physics-Informed Framework for Multi-Species Reaction-Diffusion Systems
Ban Q. Tran, Nahid Binandeh Dehaghani, A. Pedro Aguiar +2
Physics-informed neural networks (PINNs) and hybrid quantum-classical extensions provide a promising framework for solving partial differential equations (PDEs) by embedding physic…
Quantum-Assisted Barrier Sequential Quadratic Programming for Nonlinear Optimal Control
Nahid Binandeh Dehaghani, Rafal Wisniewski, A. Pedro Aguiar
We propose a quantum-assisted framework for solving constrained finite-horizon nonlinear optimal control problems using a barrier Sequential Quadratic Programming (SQP) approach. W…
Quantum Pontryagin Neural Networks in Gamkrelidze Form Subjected to the Purity of Quantum Channels
Nahid Binandeh Dehaghani, A. Pedro Aguiar, Rafal Wisniewski
We investigate a time and energy minimization optimal control problem for open quantum systems, whose dynamics is governed through the Lindblad (or Gorini-Kossakowski-Sudarshan-Lin…