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spectral-functions

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Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.

  • Updated Aug 30, 2026
  • Jupyter Notebook

A physics-informed machine learning approach for analytic continuation of Green’s functions. Uses a Variational Autoencoder (VAE) to reconstruct spectral functions by explicitly learning poles and residues from imaginary-time Quantum Monte Carlo data. Robust, interpretable, and designed for noisy inputs.

  • Updated Aug 20, 2025
  • Python

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