PennyLaneAI

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.

PennyLaneAI

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

PennyLaneAI

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

PennyLaneAI

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

PennyLaneAI

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

PennyLaneAI

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

PennyLaneAI

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.

PennyLaneAI

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

PennyLaneAI

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

PennyLaneAI

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

PennyLaneAI