2 papers
math.NA2026
Mapping-based Hard-constrained Physics-Informed Neural Networks for unbounded wave problems
Tao Zhang, Hanshu Chen, Ilia Marchevsky +1
The aim of this paper is to introduce a Mapping-based Hard-constrained Physics-Informed Neural Network (MH-PINN) for efficiently and accurately solving unbounded wave problems. Fir…
quant-ph2026
Quantum AS-DeepOnet: Quantum Attentive Stacked DeepONet for Solving 2D Evolution Equations
Hongquan Wang, Hanshu Chen, Ilia Marchevsky +1
DeepONet enables retraining-free inference across varying initial conditions or source terms at the cost of high computational requirements. This paper proposes a hybrid quantum op…