Skip to content
Explorer #19: Quantum Computers and Artificial Intelligence w/ Scott Aaronson episode artwork

Feb 11, 2024 1 hr 2 min

Explorer #19: Quantum Computers and Artificial Intelligence w/ Scott Aaronson

from The Accent Podcast

Dr. Scott Aaronson is Schlumberger Centennial Chair of Computer Science at The University of Texas at Austin, and director of its Quantum Information Center. His research interests center around the capabilities and limits of quantum computers and computational complexity theory more generally. For the 2022-2023 and 2023-2024 academic years, he is on leave to work at OpenAI on the theoretical foundations of AI safety. In this interview, Dr. Aaronson discussed a quantum computer, its comparison to classical computers, and its use cases. He also shared his take on the potential role of quantum computers in Artificial Intelligence. Get Scott Aaronson's Book Quantum Computing since Democritus: https://amzn.to/3E290yb Read Scott Aaronson's blog: https://scottaaronson.blog Support The Accent on Patreon: https://www.patreon.com/theaccentpodcast TIMESTAMPS 01:45 Misconceptions about Quantum computing 03:00 Quantum Computer vs Classical Computer 08:30 The Schrodinger equation 18:00 What is Quantum Computer good for? 28:45 The look of Quantum computers 43:40 Quantum Error Correction 46:50 Quantum computing in AI 55:25 Would you choose Machin Learning or Quantum Computer for a major 57:50 Take on Michio Kaku's book Quantum Supremacy….(oh, well)

Episode details come from the podcast's RSS feed.

Embed this episode

Ready to play

Explorer #19: Quantum Computers and Artificial Intelligence w/ Scott Aaronson

0:00 1:02:31

No transcript yet.

Requests help us decide what to transcribe next.

Frequently asked questions

How long is this episode of The Accent Podcast?

This episode is 1 hour and 2 minutes long.

When was this The Accent Podcast episode published?

This episode was published on February 11, 2024.

Can I download this The Accent Podcast episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.