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Strawberry Fields: A Software Platform for Photonic Quantum Computing

Authors :
Nathan Killoran
Josh Izaac
Nicolás Quesada
Ville Bergholm
Matthew Amy
Christian Weedbrook
Source :
Quantum, Vol 3, p 129 (2019)
Publication Year :
2019
Publisher :
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften, 2019.

Abstract

We introduce Strawberry Fields, an open-source quantum programming architecture for light-based quantum computers, and detail its key features. Built in Python, Strawberry Fields is a full-stack library for design, simulation, optimization, and quantum machine learning of continuous-variable circuits. The platform consists of three main components: (i) an API for quantum programming based on an easy-to-use language named Blackbird; (ii) a suite of three virtual quantum computer backends, built in NumPy and TensorFlow, each targeting specialized uses; and (iii) an engine which can compile Blackbird programs on various backends, including the three built-in simulators, and - in the near future - photonic quantum information processors. The library also contains examples of several paradigmatic algorithms, including teleportation, (Gaussian) boson sampling, instantaneous quantum polynomial, Hamiltonian simulation, and variational quantum circuit optimization.

Subjects

Subjects :
Physics
QC1-999

Details

Language :
English
ISSN :
2521327X
Volume :
3
Database :
Directory of Open Access Journals
Journal :
Quantum
Publication Type :
Academic Journal
Accession number :
edsdoj.11b248476084d50a3f6ea24fba540af
Document Type :
article
Full Text :
https://doi.org/10.22331/q-2019-03-11-129