Details

Autor(en) / Beteiligte

• Bromley, Thomas R
• Arrazola, Juan Miguel
• Jahangiri, Soran
• Izaac, Josh
• Quesada, Nicolás
• Gran, Alain Delgado
• Schuld, Maria
• Swinarton, Jeremy
• Zabaneh, Zeid
• Killoran, Nathan

Titel

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

Ist Teil von

• Quantum science and technology, 2020-07, Vol.5 (3), p.34010

Ort / Verlag

IOP Publishing

Erscheinungsjahr

2020

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.