tensorcircuit
Tensor network based quantum software framework for the NISQ era
tensorcircuit-ng
The next-gen tensor network based quantum software framework: superseding the original TensorCircuit
pennylane-lightning
The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.
pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
https://github.com/agnostiqhq/covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
cuda-quantum
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
https://github.com/agnostiqhq/covalent-braket-plugin
Executor plugin interfacing Covalent with Amazon Braket Hybrid Jobs
https://github.com/agnostiqhq/covalent-slurm-plugin
Executor plugin interfacing Covalent with Slurm
qandle
QANDLE is a fast and simple quantum state-vector simulator for hybrid machine learning using the PyTorch library.
qdna-lib
Qdna-lib aim to pioneer advancements that not only push the boundaries of quantum computing but also provide benefits to the field of data science and artificial intelligence.
vmbqc
Designing Variational Measurement-Based Quantum Computing algorithm for generative learning tasks
https://github.com/albertnieto/quantum_convolutional_nn_benchmark
Benchmarking quanvolutional neural networks with QCML and Pennylane.
qcml
A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.
learning-complexity-gradually
Repository of the paper "Learning complexity gradually in quantum machine learning models"
https://github.com/agnostiqhq/covalent_tutorials_ieee_2023
Tutorial notebooks for QCE at IEEE 2023 in Bellevue, Washington
https://github.com/albertnieto/quantum-perceptron
Quantum perceptron using Grover, implemented with Pennylane.
qml-essentials
Python package with commonly used Ansaetze, tools and data-reuploading model in quantum machine learning.
https://github.com/cqcl/quixer
Code repository for the preprint "Quixer: A Quantum Transformer Model"
quantum-molecular-encodings
Data and codes used in Boy et al. (2025) - Quantum molecular structure encoding
quantum-transfer-learning-metastases
Quantum Transfer Learning for Lymph Node Metastases Detection
classical-quantum-mnist
Single pixel imaging with classical and quantum neutral network
https://github.com/agnostiqhq/quantum-variational-rewinding
Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case
https://github.com/darkstarstrix/qsolvers
The Swiss Army Knife of Applied Quantum Technology
mind-the-qapp
An Application for Visualizing the Crux in Quantum Machine Learning
classiq-library
The Classiq Library is the largest collection of quantum algorithms and applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌
https://github.com/agnostiqhq/tutorials_covalent_ieee_2022
Tutorials for 2022 IEEE Quantum Week Workshop on Covalent
https://github.com/cern-it-innovation/gqc
Guided Quantum Compression (GQC) network for simultaneous dimensionality reduction and classification of high-dimensional data.
classical-shadow-vqe
Qiskit implementation of classical shadow formalism with VQE for calculating ground state energies of molecules
https://github.com/cern-it-innovation/latent-ad-qml
Unsupervised anomaly detection in the latent space of high energy physics events with quantum machine learning.
