Quantum Computing 2022
James D. Whitfield, Jun Yang, Weishi Wang, Joshuah T. Heath, Brent, Harrison

TL;DR
This paper provides a clear, detailed overview of quantum computing and technology, aiming to clarify current scientific understanding and navigate the hype surrounding the field for scientists and engineers.
Contribution
It offers a balanced, accessible map of quantum computing, highlighting recent results and guiding readers through complex literature without oversimplification.
Findings
Quantum technology faces significant noise challenges.
Recent advances have clarified the scientific landscape.
The overview helps distinguish hype from scientific progress.
Abstract
Quantum technology is full of figurative and literal noise obscuring its promise. In this overview, we will attempt to provide a sober assessment of the promise of quantum technology with a focus on computing. We provide a tour of quantum computing and quantum technology that is aimed to be comprehensible to scientists and engineers without becoming a popular account. The goal is not a comprehensive review nor a superficial introduction but rather to serve as a useful map to navigate the hype, the scientific literature, and upcoming press releases about quantum technology and quantum computing. We have aimed to cite the most recent topical reviews, key results, and guide the reader away from fallacies and towards active discussions in the current quantum computing literature. The goal of this article was to be pedantic and introductory without compromising on the science.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Mechanics and Applications · Space Technology and Applications
