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.

What’s Going on with Near-Term Quantum Computing

Researchers at the Software Engineering Institute, a nonprofit that conducts R&D in software engineering, systems engineering, cybersecurity, and many other areas of computing, discuss cyber-related topics of interest

What’s Going on with Near-Term Quantum Computing

Carnegie Mellon - SEI Cyber Talks