PennyLaneAI's Projects
This repository contains automation code for version bumping PL-plugins
Benchmarks the PennyLane library using airspeed velocity.
A JIT compiler for hybrid quantum programs in PennyLane
Repo containing the datasets source code.
A tool for source-to-source transformations and operator overloading in Python
Quantum algorithm design is hard. Express your feelings through quantum circuits with Gatemojis™
Official code for the paper "Predicting Properties of Quantum Systems with Conditional Generative Models"
"Hybrid quantum programming with PennyLane Lightning on HPC platforms" accompanying data and workloads
This repository will host the Lightning unification work.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
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.
The PennyLane-AQT plugin integrates Alpine Quantum Technologies' ion-trap quantum computing hardware with with PennyLane's quantum machine learning capabilities.
The PennyLane-Cirq plugin integrates Google's Cirq software library with with PennyLane's quantum machine learning capabilities.
The PennyLane-Honeywell plugin integrates Honeywell Quantum Solutions' ion-trap quantum computing hardware with with PennyLane's quantum machine learning capabilities.
This PennyLane plugin allows IonQ simulators/hardware to be used as PennyLane devices.
The PennyLane-Lightning plugin provides a fast state-vector simulator written in C++ for use with PennyLane
GPU enabled Lightning simulator for accelerated circuit simulation. See https://github.com/PennyLaneAI/pennylane-lightning for all future development of this project.
Kokkos enabled Lightning simulator for accelerated circuit simulation. See https://github.com/PennyLaneAI/pennylane-lightning for all future development of this project.
GPU-enabled device for PennyLane
The PennyLane-Orquestra plugin integrates the Orquestra workflow management system with PennyLane
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.
The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework and IBM Q with PennyLane.
This plugin allows the full state simulator from the Microsoft Quantum Development Toolkit devices to work with PennyLane.
The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.
This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.
The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine learning capabilities.
Sphinx theme for PennyLaneAI repositories
The website for PennyLane