Xanadu

strawberryfields

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

machine-learning tensorflow quantum quantum-computing quantum-programming-language quantum-algorithms quantum-optics

Python Apache-2.0 102 457 22 (1 issue needs help) 6 Updated Dec 22, 2020

thewalrus

A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.

algorithm optimization graphs physics matrix quantum quantum-computing

Python Apache-2.0 23 43 10 (1 issue needs help) 4 Updated Dec 18, 2020

blackbird

Blackbird is a quantum assembly language for continuous-variable quantum computation, that can be used to program Xanadu's quantum photonics hardware and Strawberry Fields simulator.

parser quantum quantum-computing antlr4 quantum-programming-language quantum-algorithms quantum-optics

C++ Apache-2.0 15 40 4 0 Updated Dec 15, 2020

amazon-braket-examples

Forked from aws/amazon-braket-examples

Example notebooks that show how to apply quantum computing in Amazon Braket.

Jupyter Notebook Apache-2.0 15 0 0 0 Updated Dec 8, 2020

sqtom

Tomography of squeezed modes

Python Apache-2.0 1 5 1 0 Updated Nov 19, 2020

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.

machine-learning deep-learning tensorflow optimization quantum quantum-computing photonics

Python Apache-2.0 64 186 0 0 Updated Nov 13, 2020

cloud-workshops

Materials for Xanadu's Quantum Cloud workshops

Jupyter Notebook 0 2 0 0 Updated Nov 9, 2020

quantum-transfer-learning

A transfer learning approach applied to hybrid neural networks composed of classical and quantum elements.

Jupyter Notebook Apache-2.0 12 23 0 0 Updated Oct 26, 2020

expressive_power_of_quantum_models

This repository contains the source code necessary to reproduce the figures and simulation results of the url[paper](XXX) "The effect of data encoding on the expressive power of variational quantum machine learning models" by Maria Schuld, Ryan Sweke and Johannes Jakob Meyer.

Jupyter Notebook 1 4 0 0 Updated Aug 25, 2020

derivatives-of-variational-circuits

Jupyter Notebook Apache-2.0 1 6 0 0 Updated Aug 19, 2020

pennylane-forest

Forked from PennyLaneAI/pennylane-forest

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

Python BSD-3-Clause 18 1 0 0 Updated Aug 10, 2020

kerr-squeezing

Python Apache-2.0 1 0 0 0 Updated May 21, 2020

pennylane-plugin-template

This template repository provides the boilerplate and file structure required to easily create your own PennyLane plugin.

Python Apache-2.0 6 4 0 1 Updated May 14, 2020

pl-qe

Python 1 2 0 0 Updated Apr 29, 2020

quantum-inspired-algorithms

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 linear algebra".

Python Apache-2.0 17 55 0 0 Updated Mar 24, 2020

approximate-GKP-prep

This repository contains the source code used to produce the results presented in the paper "Progress towards practical qubit computation using approximate Gottesman-Kitaev-Preskill codes".

Jupyter Notebook 1 4 0 0 Updated Mar 11, 2020

QMLT Archived

The Quantum Machine Learning Toolbox (QMLT) is a Strawberry Fields application that simplifies the optimization of variational quantum circuits (also known as parametrized quantum circuits).

machine-learning deep-learning neural-network tensorflow optimization quantum quantum-computing

Python Apache-2.0 24 103 0 1 Updated Mar 3, 2020

realistic-quantum-states

This repository contains the source code used to produce the results presented in the paper "Simulating realistic non-Gaussian state preparation".

physics quantum quantum-computing numerical-methods physics-simulation quantum-optics photonics

Python Apache-2.0 2 6 0 0 Updated Dec 17, 2019

QHACK

QHACK: The Quantum Machine Learning Hackathon

0 21 10 0 Updated Nov 22, 2019

fockgaussian

This repository contains the source code used to produce the results presented in " Franck-Condon factors by counting perfect matchings of graphs with loops " J. Chem. Phys. 150, 164113 (2019).

Jupyter Notebook Apache-2.0 3 8 0 0 Updated Nov 17, 2019

SFOpenBoson

A plugin for Strawberry Fields and OpenFermion, providing methods of simulating bosonic Hamiltonians directly in Strawberry Fields

quantum quantum-computing quantum-chemistry quantum-algorithms quantum-optics openfermion strawberryfields

Python Apache-2.0 6 17 1 0 Updated Jul 11, 2019

constrained-quantum-learning

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".

machine-learning optimization quantum quantum-computing quantum-optics photonics quantum-machine-learning

Python Apache-2.0 4 15 0 0 Updated Jul 10, 2019

quantum-learning

This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".

machine-learning tensorflow optimization quantum quantum-computing photonics quantum-machine-learning

Jupyter Notebook Apache-2.0 24 86 1 0 Updated Jul 10, 2019

torontonian-sampling

This repository contains the source code used to produce the results presented in the paper "Classical benchmarking of Gaussian Boson Sampling on the Titan supercomputer".