Introduction to Quantum Machine Learning with Samuel González-Castillo
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Updated
Apr 22, 2024 - Jupyter Notebook
Introduction to Quantum Machine Learning with Samuel González-Castillo
Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification
PyTorch implementation of "Effective dimension of machine learning models" paper
Quantum version of recurrent neural networks for machine learning
Quantum architecture for predicting evolution of time series and analyze any anomalies arising in it.
This repository contains my solution to the evaluation tasks on QML-HEP for ML4Sci Umbrella Organization in GSoC 2021
FYS2029 Quantum Computing project work: quantum neural networks
Implementations of quantum circuits used for the thesis Quantum Neural Networks with Qutrits
Feed forward QNN
Code author: Collin Farquhar; paper authors: Collin Farquhar and Jithin Jagannath
A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
Entanglement characterization of variational quantum circuits using a Matrix Product State simulator and qiskit.
Qauntum convolutional neural network in protein distance prediction.
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)
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.
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