A JIT compiler for hybrid quantum programs in PennyLane
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
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.
The quantum analogue of OpenAI's "gym" python framework
Project for McGill Physics Hackathon 2020
Qauntum convolutional neural network in protein distance prediction.
Clean and easy to understand implementations of many Quantum Reinforcement Learning agents as well as their classical analouges. Greately inspired by the orgininal CleanRL
A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.
A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
Repository for Xanadu Codebook solutions
Solutions to 25 coding problems from QHack Coding Challenge 2022 (https://github.com/XanaduAI/QHack/tree/master/Coding_Challenges)
Quantum-ML is a hybrid quantum-classical machine learning project leveraging quantum computing and AI to deliver advanced predictions and solutions through a fast API interface.
Pour les PME qui utilisent Pennylane pour leur comptabilité et déclarent eux-même leur TVA mensuelle, ce script se connecte à l'API et récupère les encaissements et décaissements du mois choisi. Résultat donné sous forme de tableau pour remplir directement sa déclaration.
This project is based on prediction and analysis of unlabeled data using Quantum Machine Learning.
A flexible Python tool to generate ready-to-use quantum circuit code for various algorithms using Qiskit, PennyLane, or both.
This project compares heuristic, classical reinforcement learning (RL), and quantum RL approaches to evaluate their efficiency, decision-making strategies, and performance in a grid-based environment.
A predictive algorithm to forecast the weather, chances of rain in particular, using a quantum approach.
Python library for hybrid quantum-classical reinforcement learning agents using PennyLane and Gymnasium.
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