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Projects in Awesome Lists tagged with quantum-machine-learning

A curated list of projects in awesome lists tagged with quantum-machine-learning .

https://github.com/pennylaneai/pennylane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

autograd automatic-differentiation cirq deep-learning differentiable-computing hacktoberfest jax machine-learning neural-network optimization python pytorch qiskit qml quantum quantum-chemistry quantum-computing quantum-machine-learning strawberryfields tensorflow

Last synced: 10 Mar 2026

https://github.com/PennyLaneAI/pennylane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

autograd automatic-differentiation cirq deep-learning differentiable-computing hacktoberfest jax machine-learning neural-network optimization python pytorch qiskit qml quantum quantum-chemistry quantum-computing quantum-machine-learning strawberryfields tensorflow

Last synced: 26 Mar 2025

https://github.com/mit-han-lab/torchquantum

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

deep-learning machine-learning ml-for-systems neural-network parameterized-quantum-circuit pytorch pytorch-quantum quantum quantum-computing quantum-machine-learning quantum-neural-network quantum-simulation system

Last synced: 13 May 2025

https://github.com/nvidia/cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

cpp hacktoberfest python quantum quantum-algorithms quantum-computing quantum-machine-learning quantum-programming-language unitaryhack

Last synced: 14 May 2025

https://github.com/NVIDIA/cuda-quantum

C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows

cpp hacktoberfest python quantum quantum-algorithms quantum-computing quantum-machine-learning quantum-programming-language unitaryhack

Last synced: 11 May 2025

https://github.com/pennylaneai/qml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

autograd automatic-differentiation demo key-concepts neural-networks pytorch qml quantum-chemistry quantum-computing quantum-machine-learning tensorflow tutorials

Last synced: 10 Jun 2025

https://github.com/PennyLaneAI/qml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

autograd automatic-differentiation demo key-concepts neural-networks pytorch qml quantum-chemistry quantum-computing quantum-machine-learning tensorflow tutorials

Last synced: 02 Apr 2025

https://github.com/xanaduai/quantum-neural-networks

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

deep-learning machine-learning optimization photonics quantum quantum-computing quantum-machine-learning tensorflow

Last synced: 06 Apr 2025

https://github.com/XanaduAI/quantum-neural-networks

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

deep-learning machine-learning optimization photonics quantum quantum-computing quantum-machine-learning tensorflow

Last synced: 01 May 2025

https://github.com/xanaduai/quantum-learning

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

machine-learning optimization photonics quantum quantum-computing quantum-machine-learning tensorflow

Last synced: 14 Oct 2025

https://github.com/XanaduAI/quantum-learning

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

machine-learning optimization photonics quantum quantum-computing quantum-machine-learning tensorflow

Last synced: 01 May 2025

https://github.com/pennylaneai/pennylane-lightning

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

cuda distributed-computing gpu hpc mpi openmp parallel quantum-computing quantum-machine-learning rocm

Last synced: 15 May 2025

https://github.com/PennyLaneAI/pennylane-lightning

The Lightning plugin ecosystem provides fast quantum state-vector and tensor network simulators written in C++ for use with PennyLane.

cuda distributed-computing gpu hpc mpi openmp parallel quantum-computing quantum-machine-learning rocm

Last synced: 11 May 2025

https://github.com/quantumbfs/qualgorithmzoo.jl

A curated implementation of quantum algorithms with Yao.jl

algorithm hhl quantum-computing quantum-machine-learning

Last synced: 16 Feb 2026

https://github.com/rigetti/quantumflow

QuantumFlow: A Quantum Algorithms Development Toolkit

automatic-differentiation quantum-algorithms quantum-computing quantum-machine-learning

Last synced: 26 Oct 2025

https://github.com/huckiyang/quantumspeech-qcnn

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

colab-notebook ctc-model pennylane quantum-machine-learning speech-processing speech-recognition tensorflow2

Last synced: 15 Jun 2025

https://github.com/gecrooks/quantumflow

QuantumFlow: A Quantum Algorithms Development Toolkit

automatic-differentiation quantum-algorithms quantum-computing quantum-machine-learning

Last synced: 21 Oct 2025

https://github.com/pennylaneai/pennylane-cirq

The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.

cirq differentiable-computing jax machine-learning python pytorch qml quantum quantum-algorithms quantum-chemistry quantum-computing quantum-machine-learning tensorflow

Last synced: 10 Jun 2025

https://github.com/PennyLaneAI/pennylane-cirq

The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.

cirq differentiable-computing jax machine-learning python pytorch qml quantum quantum-algorithms quantum-chemistry quantum-computing quantum-machine-learning tensorflow

Last synced: 09 Apr 2025

https://github.com/pasqal-io/pyqtorch

PyTorch-based state vector simulator

quantum-machine-learning torch

Last synced: 05 Apr 2025

https://github.com/Frank-LIU-520/DeepMoleNet

Deep learning for molecules quantum chemistry properties prediction

deep-learning graph-convolutional-neural-networks quantum-chemistry quantum-machine-learning

Last synced: 09 Jul 2025

https://github.com/pennylaneai/generative-quantum-states

Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"

generative-model machine-learning quantum-computing quantum-machine-learning quantum-many-body transformer

Last synced: 01 Apr 2026

https://github.com/fraunhofer-aisec/qml-playground

Quantum Machine Learning (QML) Playground is an interactive web application designed to visualize the inner workings of quantum machine learning models in an intuitive and educational manner.

educational machinelearning paper quantum quantum-computing quantum-machine-learning visualization

Last synced: 11 Mar 2026

https://github.com/pasqal-io/horqrux

Jax-based quantum state vector simulator.

jax quantum-machine-learning

Last synced: 22 Jun 2025

https://github.com/xanaduai/constrained-quantum-learning

This repository contains the source code used to produce the results presented in the paper "Near-deterministic production of universal quantum photonic gates enhanced by machine learning".

machine-learning optimization photonics quantum quantum-computing quantum-machine-learning quantum-optics

Last synced: 13 Jun 2025

https://github.com/rodneyosodo/variational-quantum-classifier-on-heartattack

Implement variational quantum classifier on heart attack data available on kaggle with the aim to understand different variational models and different feature maps

machine-learning qiskit quantum-computing quantum-machine-learning

Last synced: 19 Mar 2025

https://github.com/future-ai-org/quantum-computing-toolkit

👾 notes and resources on quantum computing (e.g., quantum information, post-quantum cryptography, implications on post-quantum and blockchains)

blockchain-technology documents post-quantum-cryptography quantum quantum-algorithms quantum-computing quantum-information quantum-machine-learning quantum-mechanics resources

Last synced: 30 Apr 2026

https://github.com/lockwo/rl_qvc_opt

Code for "Optimizing Quantum Variational Circuits with Deep Reinforcement Learning"

deep-learning quantum-computing quantum-machine-learning reinforcement-learning

Last synced: 16 Oct 2025

https://github.com/matchcake/matchcake

Fermionic Machine Learning python package built on PennyLane

quantum-circuit-simulator quantum-computing quantum-machine-learning

Last synced: 01 Mar 2026

https://github.com/cqcl/quixer

Code repository for the preprint "Quixer: A Quantum Transformer Model"

natural-language-processing penn-treebank quantum quantum-machine-learning

Last synced: 14 Apr 2025

https://github.com/boltzmannentropy/qugel

This work presents Qugel , a QML platform which utilizes shallow quantum neural network (QNN) image encoders composed of parametrized quantum circuits (PQCs) for solving Kaggle categorial image classification challenges.

ai convolutional-neural-networks deep-learning entanglement kaggle kaggle-competition pennylane python pytorch qml quantum quantum-autoencoer quantum-computing quantum-machine-learning quanvolutional quanvolutional-neural-networks superposition

Last synced: 15 Apr 2025

https://github.com/albertnieto/qcml

A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.

benchmarking kernel-methods machine-learning pennylane qiskit quantum-computing quantum-machine-learning

Last synced: 06 Mar 2026

https://github.com/vbelis/latent-ad-qml

Unsupervised anomaly detection in the latent space of high energy physics events with quantum machine learning.

anomaly-detection deep-learning particle-physics quantum-machine-learning unsupervised-learning

Last synced: 17 Jan 2026

https://github.com/agnostiqhq/covalent-braket-plugin

Executor plugin interfacing Covalent with Amazon Braket Hybrid Jobs

aws braket docker parallelization pipelines python python3 quantum-computing quantum-machine-learning workflow

Last synced: 28 Apr 2025

https://github.com/lockwo/paper-review

Repository containing code for the Qiskit video series: Paper Reviews

qiskit quantum-computing quantum-machine-learning

Last synced: 27 Oct 2025

https://github.com/junayed-hasan/quantum-machine-learning

This repository implements knowledge distillation from classical to quantum neural networks for image classification. It includes experiments on MNIST and FashionMNIST datasets, demonstrating improved accuracy in quantum models. Code for classical teachers and quantum students, with baseline and distilled versions, is provided.

computer-vision deep-learning knowledge-distillation neural-network quantum-machine-learning

Last synced: 04 Mar 2025

https://github.com/albertnieto/quantum_convolutional_nn_benchmark

Benchmarking quanvolutional neural networks with QCML and Pennylane.

convolutional-neural-networks pennylane quantum-kernel quantum-machine-learning

Last synced: 09 Apr 2025

https://github.com/cern-it-innovation/gqc

Guided Quantum Compression (GQC) network for simultaneous dimensionality reduction and classification of high-dimensional data.

deep-learning machine-learning neural-networks quantum-computing quantum-machine-learning

Last synced: 16 Jan 2026

https://github.com/babcockt18/on-nonlinearities-in-qml-paper-implementation

Repository contains implementations of Quantum Hadamard Product and Generalized Quantum Transpose Algorithms

pennylane quantum quantum-machine-learning

Last synced: 16 Mar 2025

https://github.com/ryanhill1/quantum-variational-classifier

Implementations of quantum variational classifier and quantum kernel estimator proposed in Havlíček, V., Córcoles, A.D., Temme, K. et al. Supervised learning with quantum-enhanced feature spaces. Nature 567, 209–212 (2019). https://doi.org/10.1038/s41586-019-0980-2

kernel-methods quantum-machine-learning variational-circuit

Last synced: 21 Oct 2025

https://github.com/redx94/quantumai

🚀 QuantumAI merges Quantum Computing with Artificial Intelligence to revolutionize machine learning, cryptography, and optimization. Leveraging quantum superposition, entanglement, and hybrid AI models, this project pushes the boundaries of computational intelligence. ⚡ Next-gen AI meets quantum power! 💡

ai-and-quantum hybrid-ai-quantum qiskit qiskit-ai qml quantum-algorithms quantum-cryptography quantum-machine-learning quantum-neural-networks quantum-optimization quantumai

Last synced: 15 Jun 2026

https://github.com/sevdanurgenc/introduction-to-machine-learning

This repo contains content created for a webinar that I have talked about machine learning.

artificial-intelligence deep-learning machine-learning machine-learning-algorithms quantum-machine-learning

Last synced: 23 Mar 2025

https://github.com/subatomicerror/quantum-ml

Quantum-ML is a hybrid quantum-classical machine learning project leveraging quantum computing and AI to deliver advanced predictions and solutions through a fast API interface.

artificial-intelligence fastapi machine-learning pennylane python pytorch quantum-ai quantum-computing quantum-machine-learning

Last synced: 15 Jun 2025

https://github.com/ritu-thombre99/qhack-2022-coding-challenge-solutions

Solutions to 25 coding problems from QHack Coding Challenge 2022 (https://github.com/XanaduAI/QHack/tree/master/Coding_Challenges)

pennylane qhack qhack2022 qhack22 qhackcodingchallenge2022 quantum-algorithms quantum-chemistry quantum-computing quantum-machine-learning vqe

Last synced: 31 May 2026

https://github.com/miyuruamarasiri/qsafe

This repository scaffolds an advanced MVP for a post-quantum secure communication stack. It focuses on hybrid authenticated key exchange, mutual hardware-backed attestation, and transport-agnostic encrypted messaging with deep observability and supply-chain hardening.

1password advanced-algorithms github github-copilot gitkraken gitlens go jetbrains learn notion protocol quantimental-analysis quantom-cryptography quantum-algorithms quantum-computing quantum-information quantum-machine-learning quantum-mechanics stripe

Last synced: 09 May 2026

https://github.com/kosasih/quantum-realm-codespace

Quantum-Realm-Codespace is a groundbreaking software development platform that harnesses the power of quantum computing. This advanced environment integrates quantum algorithms, enabling developers to explore quantum-inspired coding, solve complex problems, and optimize processes.

quantum quantum-algorithms quantum-computing quantum-machine-learning quantum-programming-language

Last synced: 19 Mar 2026

https://github.com/gamatos/qnlp-binary-classification

A quantum model for binary sentence classification

qml qnlp quantum-computing quantum-machine-learning

Last synced: 19 Jul 2025

https://github.com/jeremiegince/learning_quantum_computer_resources

Some resources to help humans in the process of learning quantum computer.

qbit quantum-computing quantum-machine-learning references resources

Last synced: 19 Mar 2026

https://github.com/sevdanurgenc/qiskit-quantum-machine-learning-notes

This repository contains code snippets related to Quantum Machine Learning developed using the Qiskit framework.

qiskit quantum-computing quantum-machine-learning quantum-programming-language

Last synced: 26 Jul 2025

https://github.com/stfc/quantum-molecular-encodings

Data and codes used in Boy et al. (2025) - Quantum molecular structure encoding

encoding-algorithms molecular-representation molecular-structures quantum-computing quantum-machine-learning

Last synced: 16 Jan 2026

https://github.com/ollpu/qml

Quantum machine learning scheme (without the quantum part)

gradient-descent quantum-machine-learning

Last synced: 29 Mar 2025

https://github.com/sevdanurgenc/diabetes-health-indicators-ml-and-qml

Compare classical machine learning and quantum machine learning techniques for feature selection and classification on the Diabetes Health Indicators dataset using Cirq and Scikit-Learn.

cirq quantum-computing quantum-machine-learning

Last synced: 23 Mar 2025

https://github.com/carlolepelaars/skq

Scientific Toolkit for Quantum Computing

numpy python quantum quantum-computing quantum-machine-learning

Last synced: 19 May 2026

https://github.com/lorenzomaiuri-dev/quantum-gpt

A hybrid Quantum-Classical Transformer implementation based on nanoGPT, using PyTorch and PennyLane to replace attention heads with Variational Quantum Circuits (VQC).

gpt language-model nanogpt natural-language-processing pennylane pytorch qnlp quantum quantum-computing quantum-machine-learning research transformers variational-quantum-circuit

Last synced: 17 Jan 2026

https://github.com/sevdanurgenc/loadwine-cirq-ml-vs-qml

Compare classical machine learning and quantum machine learning techniques for feature selection and classification on the Wine dataset using Cirq and scikit-learn.

feature-selection qml quantum-machine-learning

Last synced: 01 Sep 2025

https://github.com/touradbaba/thesis-quantum-gnn-learnability

This repository hosts code for a thesis on learning full output distributions of quantum circuits using Transformer-based Graph Neural Networks. It includes dataset generation under noiseless and noisy settings, circuit feature engineering, GNN and CNN modeling, transfer learning across qubit sizes, and model evaluation.

cnn deep-learning distribution-learning extrapolation gnn graph-neural-networks graph-transformer machine-learning multi-output-regression pytorch pytorch-geometric qaoa qiskit quantum-circuits quantum-computing quantum-machine-learning quantum-noise thesis transfer-learning

Last synced: 15 Apr 2026

https://github.com/agnostiqhq/covalent_tutorials_ieee_2023

Tutorial notebooks for QCE at IEEE 2023 in Bellevue, Washington

covalent hpc quantum quantum-algorithms quantum-computing quantum-machine-learning qvr

Last synced: 19 Mar 2026

https://github.com/meet-c-viradiya/quantum-workflow

Quantum-enhanced workflow scheduling optimizes multi-processor resource allocation using DAGs and a hybrid quantum-classical approach, visualized via advanced tools. QUBO problem formulation ensures efficiency.

cpp drug-design hpc machinelearning-python nisq pipelines qiskit qiskit-metal quantum-algorithms quantum-chemistry quantum-machine-learning transmon-qubit unitaryhack workflow-automation

Last synced: 29 Apr 2026

https://github.com/zacksff/quantum-computing

The applications foundations of Quantum Computing & More 🐱‍👤

python python-library quantum-algorithms quantum-computing quantum-machine-learning

Last synced: 19 Jun 2026

https://github.com/mr-gl00m/nothing-engine

A 1+1D quantum field theory simulator for studying vacuum friction in dynamical Casimir cavities. Bogoliubov mode-space evolution, dynamical plate coupling, closed/open/periodic boundaries, 9 validation gates, energy audit, and pre-registered analysis. Built to test the vacuum. Built to catch itself.

casimir casimir-effect casimir-simulation photon quantum-machine-learning quantum-physics quantum-simulation science science-research

Last synced: 13 Jun 2026

https://github.com/q-pratz-chem/ibm_quantum_challenge_fall2022

7 days journey of learning more about Qiskit Runtime, QML and Quantum Chemistry application of Quantum Computer through 4 exercises and a final challenge by IBM Quantum in Fall 2022.

error-correction qiskit-runtime quantum-chemistry quantum-computing quantum-machine-learning quantum-optimization

Last synced: 07 May 2025

https://github.com/vishivishvish/udmy-quantum-computing-quantum-ml

QC101 - Quantum Computing and Intro to Quantum Machine Learning | Udemy

quantum-computing quantum-machine-learning

Last synced: 11 Feb 2026

https://github.com/farukalpay/quantumlib

A modular quantum computing library in Python featuring QAOA, Grover, HHL, and VQC — built on Qiskit, with future plans to become a QPU-agnostic, from-scratch quantum SDK.

grover hhl ibm-quantum qaoa qft qiskit qpe qpu-agnostic quantum-algorithms quantum-annealing quantum-computing quantum-framework quantum-gradient quantum-machine-learning quantum-optimization quantum-research quantum-sdk quantum-simulation quantumlib vqc

Last synced: 26 Jun 2025

https://github.com/abhilash1910/my-talks-and-sessions

Talks and Presentations on Deep Learning principles,models and architectures

accelerated-computing chatgpt deep-learning framework gpt-3 nlp pytorch quantum-machine-learning tensorflow transformers

Last synced: 20 May 2026

https://github.com/amon20044/quantum-bayes-classifiers-and-their-application-in-image-classification

implementing Quantum Bayes Classifiers (QBCs) for image classification tasks using MNIST and Fashion-MNIST datasets, based on the research by Ming-Ming Wang and Xiao-Ying Zhang. The project includes Naïve QBC, SPODE-QBC, TAN-QBC, and Symmetric-QBC, simulated on MindQuantum.

bayesian bayesian-inference classification computing gaussian mindquantum mindspore naive-bayes-classifier qml quantum quantum-computing quantum-machine-learning research-reproduction scikit-learn spode tan

Last synced: 18 May 2026

https://github.com/sevdanurgenc/ml-vs-qml

It will be shown how to train a quantum machine learning model to overcome a classification problem.

classical-machine-learning quantum-machine-learning

Last synced: 23 Mar 2025