A comprehensive quantum tomography library.

An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.

🔎 Neural Network Quantum State Tomography (based on https://www.nature.com/articles/s41567-018-0048-5)

AI assisted Quantum technologies

📷 Camera slider and Demo of quantum state tomography using Raspberry Pi and Stepper Motor

Reconstructing real-valued quantum states using Hadamard Random Forest (HRF) tomography 

Hardware-tailored readout/preparation circuit optimization on small quantum systems.

A zero-entropy classical shadow reconstruction of density state operators

Efficient quantum state estimation with low-rank matrix completion

This repository contains the code used in the Quantum State Tomography and Bell Test experiments. The focus of this project is on analyzing and reconstructing quantum states from measurement data, as well as testing the validity of quantum entanglement using Bell's inequality.

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.

run tomographic measurements on simulators or real quantum hardware and perform quantum states tomography