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arxiv: 1804.03159 · v2 · pith:CU5IJJV4new · submitted 2018-04-09 · 🪐 quant-ph · physics.comp-ph

Strawberry Fields: A Software Platform for Photonic Quantum Computing

classification 🪐 quant-ph physics.comp-ph
keywords quantumfieldsstrawberrythreebackendsblackbirdbuiltincluding
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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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Cited by 2 Pith papers

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  1. MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning

    cs.LG 2026-02 unverdicted novelty 7.0

    MerLin is a new open-source discovery engine for photonic and hybrid quantum machine learning that integrates circuit simulations into standard ML frameworks and reproduces 18 prior works as reusable benchmarks.

  2. PennyLane: Automatic differentiation of hybrid quantum-classical computations

    quant-ph 2018-11 accept novelty 6.0

    PennyLane is a software library extending automatic differentiation to hybrid quantum-classical systems for variational quantum algorithms.