quantum-machine-learning
There are 361 repositories under quantum-machine-learning topic.
Quantum-Machine-Learning
This repository contains implementations of Quantum Machine Learning algorithms, feature maps, variational circuits and research papers.
piQture
piQture: A quantum machine learning library for image processing.
qubo-nn
Classifying, auto-encoding and reverse-engineering QUBO matrices
pyqtorch
PyTorch-based state vector simulator
launchpad
Resources to get started in Quantum Computing!
frr-qa
金融研报分析小助手
PWF2021
Official Repository for Machine Learning class - Physics Without Frontiers 2021
qhbm-library
Quantum Hamiltonian-Based Models built on TensorFlow Quantum
IBM-Quantum-QCE20-Tutorials
Repository of code notebooks for tutorials at IEEE Quantum Week (QCE20) https://qce.quantum.ieee.org/tutorials/
cusp_cirq_demo
Demonstration of CUSP algorithm using Cirq
qlearnkit
A python library for quantum machine learning and quantum deep learning, built on top of qiskit and pennylane
DeepMoleNet
Deep learning for molecules quantum chemistry properties prediction
deepquantum
DeepQuantum for quantum computing
Variational-Quantum-Classifier
A comparative study between feature maps coupled with a standard Variational Quantum Circuit.
QNLP
ICHEC Quantum natural language processing (QNLP) toolkit
QuantumCnn-NetworkAttackDetection
修改谷歌提供的样例量子卷积神经网络模型，基于KDD99数据集进行训练，实现了网络攻击分类检测。
generative-quantum-states
Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
qcnn-hep
A Google Summer of Code 2021 Project Repository. This project aims to demonstrate quantum machine learning's potential, specifically Quantum Convolutional Neural Network (QCNN), in HEP events classification from particle image data. The code used in the research is wrapped as an open-source package to ease future research in this field.
quantum_image_classifier
A repository for finishing my undergraduate thesis titled: Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and Data Re-uploading Classifier Scheme.
QuantumTransformers
Quantum Transformers for High Energy Physics Analysis at the Large Hadron Collider
QuAIRKit
QuAIRKit is a Python research framework for quantum computing, quantum information, and quantum machine learning algorithm development. It focuses on flexible design, real-time simulation and rapid verification of quantum and classical algorithms.
Quantum-Computing-Resources
Resources for learning Quantum Computing and Quantum Machine Learning
covalent-slurm-plugin
Executor plugin interfacing Covalent with Slurm
IBM-Qiskit-Certification-Exam-Prep
IBM Qiskit Exam Preparation pointers & Resources
horqrux
Jax-based quantum state vector simulator.
QuantumExplorer
A quantum reinforcement learning framework based on PyTorch and PennyLane.
Maqenta
Generating music using quantum machine learning models. (QuGAN and QLSTM)
qosf-qgan
Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using Pennylane.
QSolvers
The Swiss Army Knife of Applied Quantum Technology (Experimental Tech)
QCNNCancerBinaryClassifier
Quantum Convolutional Neural Network to classify esophagus cancer
quantum-machine-learning-finance-cases
Repository to compile real-world gate-based quantum machine learning use cases in the finance sector.
quantum-machine-learning
This is an exploration using synthetic data in CSV format to apply QML models for the sake of binary classification. You can find here three different approaches. Two with Qiskit (VQC and QK/SVC) and one with Pennylane (QVC).
quantumComputing
Updated and most comprehensive Repository On Quantum Computing Resources. It contains all the material I use for my research on Quantum Computing for Both Theories and Codes - I update it regularly.
quantum-fed-infer
A quantum machine learning algorithm for quantum non-IID federated learning
scikit-qulacs
scikit-qulacs is a library for quantum neural network. This library is based on qulacs and named after scikit-learn.