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20232026
most citedQuantum Physics-Informed Neural Networks for Maxwell's Equations: Circuit Design, "Black Hole" Barren Plateaus Mitigation, and GPU Acceleration

2 citations · 3 across the 11 of their papers we have counts for

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cs.LG2026

Hybrid Quantum-Classical PINNs for Scientific Computing: A Multi-GPU Open-Source Framework

Ziv Chen, Hemanth Chandravamsi, Shimon Pisnoy +4

We present QPINNACLE, an open-source computational framework for physics-informed neural networks (PINNs) that integrates modern training strategies, multi-GPU acceleration, and hy…