A quantum anomaly detection approach using the Cirq and Pennylane libraries, designed to detect adversarial attacks on quantum circuits.
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Updated
May 2, 2024 - Jupyter Notebook
A quantum anomaly detection approach using the Cirq and Pennylane libraries, designed to detect adversarial attacks on quantum circuits.
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
Набор примеров использования библиотеки PennyLane в различных оптимизационных задачах.
Solutions to the Quantum Computing Coding Challenges
Applies the Trotterized time-evolution operator for an arbitrary Hamiltonian, expressed in terms of Pauli gates.
Quantum ML Bootstrap python scripts with multiprocessing
Small tutorials from Xanadu AI and CERN lectures
Quantum-Hybrid Convolutional Neural Network with data re-uploading
This project implement DRU classifier in a spin-electronic-qubit-two-level sistem.
Submission of Task 2 for the screening of QOSF Mentorship Program
Solutions to the QHack2022 Quantum Computing Hackathon
Zoose Quantum Codespace
Adaptation of QuFI to the Pennylane API
UResearch Programme 2021 - Self Learning Materials
Screening task submission for the QOSF mentorship
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.
Classifier for quantum data
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