The next-gen AI-native tensor-network-based quantum software framework

Tensor networks package for solving PDEs; released as part of the “Tensor networks enable the calculation of turbulence distributions (2025)” paper.

Everything you need for quantum hardware engineering in the field. Curated by Onri Jay Benally, an Indigenous American Quantum Hardware Engineer.

Julia package for computer-aided design of quantum integrated circuits

Tensor networks for quantum error correction.

Design automation software tools for Topological Quantum Error Correction

Simulating the fractional quantum Hall effect with neural network variational Monte Carlo

Python CPU/GPU implementation of the Simulated Bifurcation (SB) algorithm to solve quadratic optimization problems (QUBO, Ising, TSP, optimal asset allocations for a portfolio, etc.).

This is a repository for SCA25 NVIDIA Quantum Workshop Material

Repository reporting data and code on paper https://arxiv.org/abs/2401.09421

Tensor Networks for Machine Learning

QBioCode is a suite of computational resources to support quantum applications in healthcare and life science data.

Hybrid Quantum-Classical LLM NLP Model: Enhancing Text Classification with Quantum Kernels. Dataset from https://www.kaggle.com/datasets/lizhecheng/llm-science-dataset

For IBM Quantum Challenge Spring 2023

Project Cytnx, A Cross-section of Python & C++,Tensor network library

LaTeX template to outline and draft academic papers (or theses) in Computer Science (in English and German language)

A library for easy and efficient manipulation of tensor networks.

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Python for Tensor Network: Tutorial. The lecturing vedios (in Chinese) can be found at https://space.bilibili.com/401005433

Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775

jax for quantum simulations

PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.

Notes for setting up the NYU Greene HPC and NYU Shanghai HPC

Quantum Manifold Learning

I developped a course on quantum machine learning for École de Technologie Supérieure (Montréal, QC, CA).

This repository will contain the major papers, books and blog posts on QML

MNISQ circuit dataset for machine learning and quantum machine learning