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Spectral explainability toolkit for quantum-assisted PINNs. It uses Fourier analysis to show how encoding and circuit depth shape a QAPINN's expressivity, pairs that with gradient-variance diagnostics to expose trainability costs, and turns both into a design methodology for choosing quantum layer architectures per PDE class.

  • Updated Aug 6, 2026
  • Python

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