PennyLane is designed from the ground up to be hardware and device agnostic, allowing quantum functions to be easily dispatched to different quantum devices. A single computation can even include multiple quantum devices from different vendors.
Build your quantum algorithm once. Run it everywhere.
PennyLane comes with built-in support for several quantum devices:
A simple state-vector qubit simulator written in Python, with Autograd, JAX, TensorFlow, and Torch backends.
A good choice for optimizations with a moderate number of qubits and parameters with exact expectation values.
A mixed-state qubit simulator written in Python, with Autograd, JAX, TensorFlow, and Torch backends.
A good choice for simulating noisy circuits and quantum channels.
A simple quantum photonic simulator written in Python.
A good choice for optimizing photonic systems.
A fast state-vector qubit simulator written with a C++ backend.
A good choice for optimizations with a moderate number of qubits and parameters, or when using stochastic expectation values.
External quantum devices can be easily added to PennyLane by installing plugins. These plugins are installed separately, providing a rich ecosystem integrating popular quantum software development libraries with the hybrid optimization capabilities of PennyLane.
Below are a list of official PennyLane plugins supported by the PennyLane development team.
Qiskit is an open-source quantum software framework designed by IBM. Supported hardware backends include the IBM Quantum Experience.
Amazon Braket is a fully managed AWS service that helps researchers, scientists, and developers get started with quantum computing. Amazon Braket provides on-demand access to managed, high-performance quantum circuit simulators, as well as different types of quantum computing hardware.
Strawberry Fields is a Python library for simulating continuous variable quantum optical circuits. Combines Strawberry Fields' polished universal simulator suite with PennyLane's automatic differentiation and optimization.
Cirq is a Python library designed by Google for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators.
Microsoft QDK is a library for quantum programming using the .NET Q# quantum programming language. Provides access to the QDK full state simulator to be used with PennyLane.
Qulacs is a high-performance quantum circuit simulator for simulating large, noisy or parametric quantum circuits. Implemented in C/C++ and with Python interface, Qulacs achieved both high speed circuit simulation and high usability.
Honeywell Quantum Solutions provides access to ion-trap quantum computing hardware over the cloud.
IonQ is a ion-trap quantum computing company offering access to quantum computing devices over the cloud.
Access to Alpine Quantum Technologies' ion-trap quantum computer over the cloud.
pyQuil and the Forest SDK are an open-source quantum software framework designed by Rigetti. Supported hardware backends include the Rigetti Aspen QPU.
In addition to the offical plugins, there are also plugins created by the PennyLane community.