Introduction to Quantum Machine Learning with Samuel González-Castillo
-
Updated
Apr 22, 2024 - Jupyter Notebook
Introduction to Quantum Machine Learning with Samuel González-Castillo
This repository consists of documentation regarding quantum machine learning (QML), covering both beginner's guides and advanced topics.
A quantum reinforcement learning framework based on PyTorch and PennyLane.
Implementations of quantum circuits used for the thesis Quantum Neural Networks with Qutrits
Reimplementing the hybrid quantum-classical models from the paper "Quantum machine learning for image classification" by Arsenii Senokosov et al (https://arxiv.org/pdf/2304.09224.pdf)
Codes for efficiently implementing quantum neural network classifiers
Covalent demonstration of the QVR algorithm using a cryptocurrency time series use case
Entanglement characterization of variational quantum circuits using a Matrix Product State simulator and qiskit.
A docker container for quantum machine learning (QML) research
Quantum architecture for predicting evolution of time series and analyze any anomalies arising in it.
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification
A repository for finishing my undergraduate thesis titled: Quantum Image Classifier Design with Data Re-uploading Quantum Convolution and Data Re-uploading Classifier Scheme.
The quantum supply chain manager is a quantum solution for logistics problems. We use the power of quantum machine learning for product [backorder](https://www.investopedia.com/terms/b/backorder.asp) prediction and quantum optimization for finding the best route to pick those products with high demand to store them in strategic warehouses. With …
PyTorch implementation of "Effective dimension of machine learning models" paper
A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
Add a description, image, and links to the quantum-neural-networks topic page so that developers can more easily learn about it.
To associate your repository with the quantum-neural-networks topic, visit your repo's landing page and select "manage topics."