Applications of near-term photonic quantum computers: software and algorithms

被引：80

作者：

Bromley, Thomas R. ^{[1
]}

Arrazola, Juan Miguel ^{[1
]}

Jahangiri, Soran ^{[1
]}

Izaac, Josh ^{[1
]}

Quesada, Nicolas ^{[1
]}

Gran, Alain Delgado ^{[1
]}

Schuld, Maria ^{[1
]}

Swinarton, Jeremy ^{[1
]}

Zabaneh, Zeid ^{[1
]}

Killoran, Nathan ^{[1
]}

机构：

[1] Xanadu, Toronto, ON M5G 2C8, Canada

来源：

QUANTUM SCIENCE AND TECHNOLOGY | 2020年 / 5卷 / 03期

关键词：

photonic quantum computing; quantum computing applications; quantum software; quantum algorithms; NISQ era devices; Gaussian boson sampling; POINT PROCESS MODEL; GRAPH KERNELS; LOCAL SEARCH; INFORMATION; DYNAMICS; PERFORMANCE; MOLECULES; DESIGN;

D O I：

10.1088/2058-9565/ab8504

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页数：25

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