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

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.

Efficient quantum state estimation with low-rank matrix completion

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.

First proposal for quantum state tomography of the CMB at 160 GHz using a Josephson parametric amplifier at 20 mK. Reconstructing the Wigner function and measuring photon bunching g(2)(0)=2 of primordial photons. An open research roadmap bridging cQED and observational cosmology. DOI: 10.5281/zenodo.20836974

Statistical methods for Quantum State Tomography: evaluating Maximum Likelihood Estimation and Variational Autoencoders

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

Code and data for the simulations of pure and slightly mixed state estimation with adaptive Fisher-Symmetric measurements.