Strawberry Fields: A Software Platform for Photonic Quantum Computing

Nathan Killoran, Josh Izaac, Nicolás Quesada, Ville Bergholm, Matthew Amy +1 more
4/9/2018
quant-phphysics.comp-ph

Official code: XanaduAI/strawberryfields (855 stars, Apache-2.0, TensorFlow, last commit 2026-01-16).

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.

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Code Implementations(1)

XanaduAI/strawberryfieldsOfficial100%
TensorFlowApache-2.0

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

855228Python, MakefileMar 26, 20189 months agoApache-2.0
machine-learningquantumquantum-algorithmsquantum-computingquantum-optics+2 more

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Cite this paper

@article{killoran2018strawberry,
  title  = {Strawberry Fields: A Software Platform for Photonic Quantum Computing},
  author = {Nathan Killoran and Josh Izaac and Nicolás Quesada and Ville Bergholm and Matthew Amy and Christian Weedbrook},
  year   = {2018},
  eprint = {1804.03159},
  archivePrefix = {arXiv},
  url    = {https://arxiv.org/abs/1804.03159}
}

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