There are 2 repositories under pennylane topic.
A JIT compiler for hybrid quantum programs in PennyLane
IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
Learn Quantum Machine Learning using pennylane framework
A docker container for quantum machine learning (QML) research
PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
A quantum reinforcement learning framework based on PyTorch and PennyLane.
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).
Project for McGill Physics Hackathon 2020
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.
Docker image for quantum laboratory
List of some personal QML Projects
Trainable convolution for quantum-classical hybrid algorithms
Qauntum convolutional neural network in protein distance prediction.
This project aims to use modified layerwise learning on data re-uploading classifier to classify events in HEP. The project won second place at Xanadu's QHack Quantum Machine Learning Open Hackathon 2021.
A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
Implementations of Quantum Algorithms
Materials and Resources for the EuroPython 21 Talk on "Introduction to Quantum Deep Learning" on 28/7/2021.
QNN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling.
This repository is a collection of projects on Quantum Computing.
Creating Variational Quantum Algorithm from scratch to find optimal portfolios
A tutorial on classical to quantum transfer learning by Xanadu AI
Solutions by Quantum Synapse Team(QHack 2023)
This repo contains the online quantum codebooks walkthroughs
My solutions to the Quantum Computing Codebooks produced by Xanadu using the python library PennyLane. Including a multivariable example of Grover's algorithm compared to a Linear Search.
Quant'ronauts repository for QHACK21
Solutions to the Xanadu Quantum Codebook codercises.
Repository contains implementations of Quantum Hadamard Product and Generalized Quantum Transpose Algorithms
Multi-Party Computation transforms data handling by decentralizing trust among multiple participants. This ensures that no single entity demands absolute trust. An advantage for companies in safeguarding data privacy: once data leaves the user's computer, it remains obscured from any single external entity.
Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
This repository contains all the theory resources and lab assignments done in the course CSE481 of BracU
Repository for Xanadu Codebook solutions