A JIT compiler for hybrid quantum programs in PennyLane
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Updated
Jun 19, 2024 - Python
A JIT compiler for hybrid quantum programs in PennyLane
A platform-agnostic quantum runtime framework
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.
Project for McGill Physics Hackathon 2020
Qauntum convolutional neural network in protein distance prediction.
A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
Solutions to 25 coding problems from QHack Coding Challenge 2022 (https://github.com/XanaduAI/QHack/tree/master/Coding_Challenges)
Repository for Xanadu Codebook solutions
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.
A simple Python 3 script for introducing new users to quantum programming in the PennyLane environment. This code was developed as an introductory exercise during the "2023-11-28 Using PennyLane on Pawsey’s Setonix supercomputer" webinar tutorial.
Solutions to the QHack2021 Quantum Machine Learning Hackathon
Solutions to the QHack2022 Quantum Computing Hackathon
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