Applications of Near-Term Photonic Quantum Computers: Software and Algorithms
Abstract
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing. Recent efforts have led to the discovery of GBS algorithms with applications to graph-based problems, point processes, and molecular vibronic spectra in chemistry. The development of dedicated quantum software is a key enabler in permitting users to program devices and implement algorithms. In this work, we introduce a new applications layer for the Strawberry Fields photonic quantum computing library. The applications layer provides users with the necessary tools to design and implement algorithms using GBS with only a few lines of code. This paper serves a dual role as an introduction to the software, supported with example code, and also a review of the current state of the art in GBS algorithms.
Keywords
Cite
@article{arxiv.1912.07634,
title = {Applications of Near-Term Photonic Quantum Computers: Software and Algorithms},
author = {Thomas R. Bromley and Juan Miguel Arrazola and Soran Jahangiri and Josh Izaac and Nicolás Quesada and Alain Delgado Gran and Maria Schuld and Jeremy Swinarton and Zeid Zabaneh and Nathan Killoran},
journal= {arXiv preprint arXiv:1912.07634},
year = {2020}
}
Comments
Code available at https://github.com/XanaduAI/strawberryfields/ and documentation available at https://strawberryfields.readthedocs.io/