A JIT compiler for hybrid quantum programs in PennyLane
-
Updated
Oct 19, 2024 - Python
A JIT compiler for hybrid quantum programs in PennyLane
A platform-agnostic quantum runtime framework
This repository contains Jupyter Notebooks with quantum computing exercises specially for Quantum Teleportation using PennyLane and Python.
Benchmarking quanvolutional neural networks with QCML and Pennylane.
A benchmarking library for quantum and classical machine learning, with specialized support for evaluating kernel methods.
QNN-based correlation for frictional pressure drop of non-azeotropic mixtures during cryogenic forced boiling.
Zoose Quantum Codespace
A quantum anomaly detection approach using the Cirq and Pennylane libraries, designed to detect adversarial attacks on quantum circuits.
Quantum image classification using quantum circuits and variational classifiers on a MNIST dataset.
A collection of Python samples demonstrating how to get started with IonQ using various quantum frameworks
Learn Quantum Machine Learning
This project implement DRU classifier in a spin-electronic-qubit-two-level sistem.
This repository contains all PennyLane quantum computing programs and projects
Implementation of a Variational Quantum Classifier
This is a portion of code related to Joint Mitigation of Quantum Gate and Measurement Errors via the Z-mixed-state Expression of the Pauli Channel.
A research paper conducted by Carin Samer(Alexandria , Egypt) and Aya Ahmed (Cairo , Egypt) throughout a research program called "Introuduction to Quantum Research for Girls " by PhysicsBeyound and Girls in Quantum from April 29 to June 28. In this research paper with discussed the methodology of working with a quantum computer.
Contest solution for 2024第三届“量旋杯”大湾区量子计算挑战营
Add a description, image, and links to the pennylane topic page so that developers can more easily learn about it.
To associate your repository with the pennylane topic, visit your repo's landing page and select "manage topics."