Lazy training of quantum physics informed neural networks

arXiv:2609.19239 · quant-ph, math-ph, math.MP, math.PR · Submitted 2026-09-16 · Read on arXiv

quant-ph, math-ph, math.MP, math.PR

Submitted: 2026-09-16

Updated: 2026-09-16

Terminology

• Gradient Flow — 17× in this paper · explained in 2 episodes
• Hilbert Space — 6× in this paper · explained in 2 episodes
• Loss Function — 6× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Quantum Physics — 4× in this paper · explained in 10 episodes
• Quantum Circuits — 3× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Parameter Shift Rule — 1× in this paper · explained in 2 episodes
• Physics-Informed Neural Networks (PINNs) — 1× in this paper · explained in 6 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Stabilizer States — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Quantum embeddings for machine learning
• Quantum-Enhanced Convergence of Physics-Informed Neural Networks

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