A JIT compiler for hybrid quantum programs in PennyLane
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Updated
Jun 22, 2024 - Python
A JIT compiler for hybrid quantum programs in PennyLane
A platform-agnostic quantum runtime framework
A quantum reinforcement learning framework based on PyTorch and PennyLane.
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.
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.
PennyLane/PyTorch implementation of Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning (Skolik et al., 2021)
Repository for Xanadu Codebook solutions
A library for the rapid prototyping of hybrid quantum-classical neural networks in speech applications.
Qauntum convolutional neural network in protein distance prediction.
Solutions to the QHack2022 Quantum Computing Hackathon
Solutions to 25 coding problems from QHack Coding Challenge 2022 (https://github.com/XanaduAI/QHack/tree/master/Coding_Challenges)
Solutions to the QHack2021 Quantum Machine Learning Hackathon
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.
Project for McGill Physics Hackathon 2020
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