PennyLaneAI/automation

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PennyLaneAI/automation

PennyLaneAI

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This repository contains automation code for version bumping PL-plugins

pennylane

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

qml

Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.

pennylane-qiskit

The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane.

catalyst

A JIT compiler for hybrid quantum programs in PennyLane

pennylane-lightning

The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane

pennylane-cirq

The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.

pennylane-lightning-gpu

GPU enabled Lightning simulator for accelerated circuit simulation. See https://github.com/PennyLaneAI/pennylane-lightning for all future development of this project.

pennylane-sf

The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine learning capabilities.

pennylane-rigetti

This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.

pennylane-qulacs

The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.

generative-quantum-states

Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"

Jupyter Notebook

pennylane-honeywell

The PennyLane-Honeywell plugin integrates Honeywell Quantum Solutions' ion-trap quantum computing hardware with with PennyLane's quantum machine learning capabilities.

PennyLane-qsharp

This plugin allows the full state simulator from the Microsoft Quantum Development Toolkit devices to work with PennyLane.

pennylane-pq

Contains the PennyLane ProjectQ plugin. This plugin provides three devices to work with PennyLane - the ProjectQ IBM device, the ProjectQ quantum simulator, and the ProjectQ classical simulator.

pennylane-lightning-kokkos

Kokkos enabled Lightning simulator for accelerated circuit simulation. See https://github.com/PennyLaneAI/pennylane-lightning for all future development of this project.

PennyLane-IonQ

This PennyLane plugin allows IonQ simulators/hardware to be used as PennyLane devices.

plugin-test-matrix

Scheduled integration tests for the official plugins

lightning-on-hpc

"Hybrid quantum programming with PennyLane Lightning on HPC platforms" accompanying data and workloads

Jupyter Notebook

pennylane-aqt

The PennyLane-AQT plugin integrates Alpine Quantum Technologies' ion-trap quantum computing hardware with with PennyLane's quantum machine learning capabilities.

pennylane.ai

The website for PennyLane

DatasetsSource

Repo containing the datasets source code.

pennylane-orquestra

The PennyLane-Orquestra plugin integrates the Orquestra workflow management system with PennyLane

diastatic-malt

A tool for source-to-source transformations and operator overloading in Python

Lightning-Unification

This repository will host the Lightning unification work.

benchmark

Benchmarks the PennyLane library using airspeed velocity.

pennylane-sphinx-theme

Sphinx theme for PennyLaneAI repositories

pulse-benchmarks

Some basic benchmarks for `pennylane.pulse`

Jupyter Notebook

differentiable-quantum-transforms

Jupyter Notebook