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

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)