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)