Machine learning algorithms for many-body quantum systems
-
Updated
Dec 13, 2024 - Python
Machine learning algorithms for many-body quantum systems
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
Hardware-tailored readout/preparation circuit optimization on small quantum systems.
Efficient quantum state estimation with low-rank matrix completion
Conducted various quantum optics experiments with single photons (working with Physlab, Pakistan. https://physlab.org/) to explore quantum entanglement/nonlocality. Performed two-qubit quantum state tomography utilizing the density matrix formalism.
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.
Add a description, image, and links to the quantum-state-tomography topic page so that developers can more easily learn about it.
To associate your repository with the quantum-state-tomography topic, visit your repo's landing page and select "manage topics."