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What’s Going on with Near-Term Quantum Computing?

May 2019 Video

This SEI Cyber Talk episode explains how quantum computing works, its current state, and how it might be used in both the near- and long-term future.

Publisher:

Software Engineering Institute

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Abstract

In this SEI Cyber Talk episode, Ritwik Gupta, Daniel Justice, and Jason Larkin explain what quantum computing is and how it works, and they discuss the benefits that quantum computing can offer, such as increasing the speed at which computers can solve certain algorithms. In the near term, however, quantum computing is limited because quantum computers still present high error rates. Ritwik, Daniel, and Jason explain how these computers must dedicate some of their architecture to error correction. Given this and other limitations, they discuss the kind of applications that are currently plausible for this technology, such as leveraging quantum chips as co-processors and accelerators for classical computers to speed up certain tasks that the quantum architecture is better equipped to handle. They also discuss possibilities they see for quantum computing in the long term, including improving error correction so that quantum computers can address larger problems, such as Shor’s algorithm. Finally, Ritwik, Daniel, and Jason provide a link to the SEI’s quantum hub, where they provide a host of materials about quantum computing and its development.

SEI Cyber Talks are also available on Apple Podcasts https://podcasts.apple.com/us/podcast/id1455386915 , Soundcloud https://soundcloud.com/cmu-sei-cybertalks, and Spotify.