Overview and Comparison of Gate Level Quantum Software Platforms

Ryan LaRose

Department of Computational Mathematics, Science, and Engineering, Michigan State University.
Department of Physics and Astronomy, Michigan State University

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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.

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The above citations are from Crossref's cited-by service (last updated successfully 2024-05-24 20:03:58) and SAO/NASA ADS (last updated successfully 2024-05-24 20:03:59). The list may be incomplete as not all publishers provide suitable and complete citation data.