Code, data, and analysis for "A finite-size crossover criterion for shadow-based moment estimation, with a hardware case study" (Messerlian & Gu).
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Updated
Aug 12, 2026 - Python
Code, data, and analysis for "A finite-size crossover criterion for shadow-based moment estimation, with a hardware case study" (Messerlian & Gu).
This project implements a machine learning model capable of reconstructing a quantum density matrix ρ from measurement data (Classical Shadows). The model enforces strict physical constraints (Hermitian, Positive Semi-Definite, Unit Trace) using a Cholesky decomposition approach.
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