8 citations · 9 across the 2 of their papers we have counts for
3 papers
physics.comp-ph2025
Hybrid Quantum Physics-informed Neural Network: Towards Efficient Learning of High-speed Flows
Fong Yew Leong, Wei-Bin Ewe, Tran Si Bui Quang +2
This study benchmarks hybrid quantum physics-informed neural network (HQPINN) to model high-speed flows, compared against classical physics-informed neural networks (PINNs) and ful…
quant-ph2024★ 8 cited
Solving Fractional Differential Equations on a Quantum Computer: A Variational Approach
Fong Yew Leong, Dax Enshan Koh, Jian Feng Kong +6
We introduce an efficient variational hybrid quantum-classical algorithm designed for solving Caputo time-fractional partial differential equations. Our method employs an iterable…
quant-ph2023★ 1 cited
From Ad-Hoc to Systematic: A Strategy for Imposing General Boundary Conditions in Discretized PDEs in variational quantum algorithm
Dingjie Lu, Zhao Wang, Jun Liu +3
We proposed a general quantum-computing-based algorithm that harnesses the exponential power of noisy intermediate-scale quantum (NISQ) devices in solving partial differential equa…