Implementation of the paper "One, Two, Three: One empirical evaluation of a two-copy shadow tomography scheme with triple efficiency" arXiv:2508.11744, accepted at IEEE Quantum Week (QCE) 2025

Real-time quantum state tomography via Geometric Shadow Inversion. Reconstructs full-rank mixed states 100x faster than MLE by exploiting an Information Threshold at M/P ≈ 1.17.

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.