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Quantum-inspired algorithms for linear algebra applications. The repository contains all source code used to generate results presented in "Practical performance of quantum-inspired algorithms for …
PyTorch and PennyLane implementation of Quantum GAN with Hybrid Generator.
A differentiable bridge between phase space and Fock space
✅ Python package for simulation and visualization of quantum error-correction on surface codes. The package provides the ability to inspect the error-correcting code during the decoding process, an…
Code to benchmark quantum machine learning models
FlamingPy is a cross-platform Python library with a variety of backends for efficient simulations of error correction in fault-tolerant quantum computers.
This PennyLane plugin allows the Rigetti Forest QPUs, QVM, and wavefunction simulator to optimize quantum circuits.
A plugin for allowing Xanadu PennyLane to use Amazon Braket devices
A Python library to integrate automatic differentiation tools such as JAX with QuTiP and related quantum software packages.
The PennyLane-SF plugin integrates Xanadu's Strawberry Fields photonic quantum simulators and hardware with PennyLane's quantum machine learning capabilities.
A plugin for Strawberry Fields and OpenFermion, providing methods of simulating bosonic Hamiltonians directly in Strawberry Fields
Quantum circuit on top of tensor network. This version is archived, latest open source version release is at https://github.com/tensorcircuit/tensorcircuit-ng
Library for fast computations involving indistinguishable bosons
Reinforcement learning environment for the classical synthesis of quantum programs.
A quantum computer state vector/stabilizer circuit simulator and assembly language.
Gradient-descent quantum process tomography by learning Kraus operators
This repository contains the source code used to produce the results presented in the paper "Near-deterministic production of universal quantum photonic gates enhanced by machine learning".
A python package for growing random graphs using quantum random walks
This plugin allows the full state simulator from the Microsoft Quantum Development Toolkit devices to work with PennyLane.
The PennyLane-Honeywell plugin integrates Honeywell Quantum Solutions' ion-trap quantum computing hardware with with PennyLane's quantum machine learning capabilities.
AutoQASM is an experimental module offering a quantum-imperative programming experience in Python for developing quantum programs.
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.
This PennyLane plugin allows IonQ simulators/hardware to be used as PennyLane devices.
The PennyLane-AQT plugin integrates Alpine Quantum Technologies' ion-trap quantum computing hardware with with PennyLane's quantum machine learning capabilities.
CLI and Python API for the Xanadu Cloud.
This repository contains the source code used to produce the results presented in the paper "Simulating realistic non-Gaussian state preparation".
Scheduled integration tests for the official plugins
a python extension build system (with Cython support) which allows automated compilation a mixture of C, C++, FORTRAN and Cython sources without F2PY interference.