HYM-qm-stu

HYM-qm-stu's Stars

• luca-parisi/quantum_relu

  QReLU and m-QReLU: Two novel quantum activation functions for Deep Learning in TensorFlow, Keras, and PyTorch

  Language:Python115

• raghavian/loTeNet_pytorch

  Official Pytorch implementation of model in "Tensor Networks for Medical Image Classification", Raghavendra Selvan & Erik Dam, MIDL 2020

  Language:Python268

• bmedicke/quantum_cryptography

  demonstration of quantum cryptography 🐈 🔐 , one-time pad communication via BB84. repo for our IT Security Master project

  Language:Jupyter Notebook2810

• ericardomuten/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.

  Language:Jupyter Notebook3112

• simonecantori/Supervised-learning-of-quantum-circuits

  Relevant scripts and data for the paper "Supervised learning of random quantum circuits via scalable neural networks"

  Language:Python12

• nsansen/Binary-classifiers-for-noisy-datasets-a-comparative-study-of-existing-quantum-machine-learning-fra

  Codes for the paper

  Language:Jupyter Notebook2

• SheffieldWang/Quantum-Qubit-Rotation-Algorithm

  The code for paper Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm

  Language:Jupyter Notebook1

• rouven-koch/Designing-quantum-many-body-matter-with-conditional-generative-adversarial-networks

  Python code of the research paper "Designing quantum many-body matter with conditional generative adversarial networks"

  Language:Python52

• maiyuren/Quantum-Random-Forest

  The model is based off the paper Srikumar et al., "A kernel-based quantum random forest for improved classification", (2022).

  Language:Jupyter Notebook1110

• lockwo/qvc_opt_review

  Code for the paper "An Empirical Review of Optimization Techniques for Quantum Variational Circuits"

  Language:Python6

• nelsonfilipecosta/Adaptive-Quantum-Phase-Estimation

  Code used to obtain the results presented in the paper "Benchmarking machine learning algorithms for adaptive quantum phase estimation with noisy intermediate-scale quantum sensors" published in EPJ Quantum Technology on June 3, 2021.

  Language:Python71

• kclip/quantum-CP

  Code for the paper "Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning"

  Language:Python92

• amacaluso/Quantum-Single-Layer-Perceptron

  This repository contains the code to reproduce the results in the paper A Variational algorithm for Quantum Neural Networks, accepted in the International Conference on Computational Science 2020, Quantum Computing track.

  Language:Python123

• stfnmangini/Learning2learn

  This repository implements the architecture proposed by Verdon et al. in the paper Learning to learn with quantum neural networks via classical neural networks, using PennyLane and TensorFlow.

  Language:Jupyter Notebook134

• cjsotopa/Quantum

  Quantum Computing Paper

  Language:Jupyter Notebook3

• ioankolot/Ascending_CVaR

  Code for the paper: Evolving objective function for improved variational quantum optimization.

  Language:Python53

• Christophe-pere/An-encoding-perspective-for-quantum-classification-advantage-using-NISQ-algorithms

  Repo for the paper "An encoding perspective for quantum classification advantage using NISQ algorithms"

  Language:Jupyter Notebook62

• macemoth/QuantumQueryOptimization

  Accompanying code for the "Multiple Query Optimization using a Hybrid Approach of Classical and Quantum Computing" paper

  Language:Jupyter Notebook72

• milind-u/image-qcnn

  Quantum Convolutional Neural Network for Image Classification

  Language:Python92

• ChaakuDaaku/CSE676-Quantum-Classification

  Image classification using a quantum ResNet18 hybrid convolutional network

  Language:Jupyter Notebook11

• HawkPhantom/quantum-classical-transfer-learning

  A Classical to Quantum Transfer Learning Approach for Image Classification.

  Language:Python3

• Quantronauts/quantum_data-classifier

  Classifier for quantum data

  Language:Jupyter Notebook1

• kkensuke/quantum-classification

  Language:Jupyter Notebook1

• lucasfriedrich97/Evolution-strategies-application-in-hybrid-quantum-classical-neural-networks

  Language:Python31

• trianam/quantumNoiseClassification

  Source code for the data generation and experiments in paper "Machine learning approach for quantum non-Markovian noise classification"

  Language:Python1

• amacaluso/Quantum-Ensemble-for-Classification

  This repository contains the code to reproduce the results in the paper Quantum Ensemble for Classification. All the quantum implementations use the IBM qiskit package.

  Language:Jupyter Notebook51

• prabh27/Quantum-Image-Classification

  Language:Jupyter Notebook93

• GlazeDonuts/Variational-Quantum-Classifier

  A comparative study between feature maps coupled with a standard Variational Quantum Circuit.

  Language:Jupyter Notebook35

• contepablod/QCNNCancerBinaryClassifier

  Quantum Convolutional Neural Network to classify esophagus cancer

  Language:Jupyter Notebook209

• DRA-chaos/Quantum-Classical-Hyrid-Neural-Network-for-binary-image-classification-using-PyTorch-Qiskit-pipeline

  Quantum Hybrid Neural Network model for image classification

  Language:Jupyter Notebook165