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Xunan Wang

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Preprint Aug 2026

Physics-Informed Quantum Machine Learning with Hard Constraint Embedding for Nonlinear Differential Equations of the First Order

This work proposes a physics-informed quantum machine learning (PIQML) framework with hard constraint embedding, specifically designed for NISQ era, and demonstrates that the quantum model successfully learns the solution, showing close agreement with a high-precision classical numerical benchmark.

Mengke Xu, Xi Li, Xiao Chen et al. · 0 citations

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