PTaylor18 / Machine-Learning-Summer-Code
Repository containing code for my learning of classical and quantum machine learning. Includes a variational quantum classifier, fully-connected and quantum convolutional neural networks as well as benchmarks.
☆12Updated 3 years ago
Alternatives and similar repositories for Machine-Learning-Summer-Code:
Users that are interested in Machine-Learning-Summer-Code are comparing it to the libraries listed below
- Qlassifier: Classical-Quantum Hybrid Convolutional Neural Network☆12Updated last year
- Exploring QCNNs for Classifying Phases of Matter☆49Updated 2 months ago
- Exploring learnability and optimal hyperparameters of various quantum generative adversarial networks and quantum neural networks using P…☆25Updated 3 years ago
- List of some personal QML Projects☆16Updated last year
- ☆85Updated 2 years ago
- This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit en…☆48Updated 2 years ago
- Qiskit Hackathon Korea 2021 Community Choice Award Winner : Exploring Hybrid quantum-classical Neural Networks with PyTorch and Qiskit☆74Updated 4 years ago
- A repository for finishing my undergraduate thesis titled: Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and…☆31Updated 2 years ago
- ☆16Updated 3 years ago
- Classical-Quantum hybrid model for credit card fraud detection☆20Updated 3 years ago
- A Google Summer of Code 2021 Project Repository. This project aims to demonstrate quantum machine learning's potential, specifically Quan…☆30Updated 4 months ago
- A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.☆78Updated last year
- qLEET is an open-source library for exploring Loss landscape, Expressibility, Entangling capability, and Training trajectories of noisy p…☆33Updated last year
- The power of quantum neural networks☆52Updated 3 years ago
- A step-by-step tutorial of QuantumFlow, using the MNIST sub-dataset {3,6} and the 16-2-2 neural network as an example.☆58Updated 2 years ago
- Recent advances in many fields have accelerated the demand for classification, regression, and detection problems from few 2D images/proj…☆32Updated 4 years ago
- ☆10Updated 3 years ago
- Implement variational quantum classifier on heart attack data available on kaggle with the aim to understand different variational models…☆20Updated 3 years ago
- We implement a quantum-classical hybrid QLSTM model by incorporating quantum variational layers into the classical LSTM in order to impro…☆48Updated 3 years ago
- A style-based Quantum Generative Adversarial Network☆12Updated 2 years ago
- Reimplementing the hybrid quantum-classical models from the paper "Quantum machine learning for image classification" by Arsenii Senokoso…☆19Updated last year
- An example of a variational quantum classifier implemented with qiskit using only elementary gates.☆28Updated 4 years ago
- Demo notebooks for Qiskit application modules demo sessions (Oct 8 & 15):☆50Updated last year
- ☆13Updated 5 years ago
- A Quantum State Fidelity based Generative Adversarial Network☆18Updated 3 years ago
- A python library for quantum machine learning and quantum deep learning, built on top of qiskit and pennylane☆39Updated 10 months ago
- Tutorials and modules related to Qiskit Runtime service and programs☆53Updated 2 years ago
- This is the workbook I created while I was studying for the Qiskit Associate Developer exam. I hope this becomes useful to others as it w…☆80Updated 3 years ago
- Toolkit for training quantum kernels in machine learning applications☆42Updated 11 months ago
- Code for implementing and experimenting with quantum algorithms☆69Updated last year