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.

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Quantum Computing since Democritus: https://amzn.to/3E290yb

Read Scott Aaronson's blog: https://scottaaronson.blog

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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)