2018/07/06 by Ryan LaRose · 1 voice
Computer Science · Engineering · Physics and Astronomy · #Cloud Computing and Resource Management #Quantum Computing Algorithms and Architecture #Space Technology and Applications #cs.ET #quant-ph
paper · pdf · doi:10.22331/q-2019-03-25-130
arxiv published 2018/07/06 · openalex created_date 2018/07/19 · arxiv updated 2019/03/20 · openalex publication_date 2019/03/25 · openalex updated_date 2026/08/04
Quantum computers are available to use over the cloud, but the recent explosion of quantum software platforms can be overwhelming for those deciding on which to use. In this paper, we provide a current picture of the rapidly evolving quantum computing landscape by comparing four software platforms - Forest (pyQuil), Qiskit, ProjectQ, and the Quantum Developer Kit (Q#) - that enable researchers to use real and simulated quantum devices. Our analysis covers requirements and installation, language syntax through example programs, library support, and quantum simulator capabilities for each platform. For platforms that have quantum computer support, we compare hardware, quantum assembly languages, and quantum compilers. We conclude by covering features of each and briefly mentioning other quantum computing software packages.