SEFeb 3, 2019

Making Quantum Computing Open: Lessons from Open-Source Projects

arXiv:1902.00991v217 citationsHas Code
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of preparing future quantum computing researchers and practitioners, but it is incremental as it primarily reports survey findings without proposing new methods.

The paper tackled the problem of understanding the backgrounds and training of contributors to open-source quantum computing projects, finding that most have PhDs in physics or computer science and identifying a lack of educational resources.

Quantum computing (QC) is an emerging computing paradigm with potential to revolutionize the field of computing. QC is a field that is quickly developing globally and has high barriers of entry. In this paper we explore both successful contributors to the field as well as wider QC community with the goal of understanding the backgrounds and training that helped them succeed. We gather data on 148 contributors to open-source quantum computing projects hosted on GitHub and survey 46 members of QC community. Our findings show that QC practitioners and enthusiasts have diverse backgrounds, with most of them having a PhD and trained in physics or computer science. We observe a lack of educational resources on quantum computing. Our goal for these findings is to start a conversation about how best to prepare the next generation of QC researchers and practitioners.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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