Scott Aaronson

Guest

Scott Aaronson

Quantum Computing Scientist

Scott Aaronson appears on the Lex Fridman Podcast across physics, consciousness, biology. Lex describes Scott Aaronson as quantum computing scientist.

Appearance timeline

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2020

3 appearances

Scott Aaronson - Quantum Computing, Complexity, and Creativity

Dwarkesh Podcast / November 20, 2020 / Episode #10

Scott Aaronson - Quantum Computing, Complexity, and Creativity

11 chapters1h 27m

Scott Aaronson is a Professor of Computer Science at The University of Texas at Austin, and director of its Quantum Information Center.

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Journey through high school and college

Journey through high school and college

Scott Aaronson: Computational Complexity and Consciousness

Lex Fridman Podcast / October 12, 2020 / Episode #130

Scott Aaronson: Computational Complexity and Consciousness

1 chaptersUnknown

Scott Aaronson is a quantum computer scientist.

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Full episode

Scott Aaronson is a quantum computer scientist.

Scott Aaronson: Quantum Computing

Lex Fridman Podcast / February 17, 2020 / Episode #72

Scott Aaronson: Quantum Computing

1 chaptersUnknown

Scott Aaronson is a professor at UT Austin, director of its Quantum Information Center, and previously a professor at MIT. His research interests center around the capabilities and limits of quantum computers and computational complexity theory more generally.

Start here

Full episode

Scott Aaronson is a professor at UT Austin, director of its Quantum Information Center, and previously a professor at MIT. His research interests center around the capabilities and limits of quantum computers and computational complexity theory more generally.

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Profile

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Scott Aaronson

Scott Aaronson

Quantum Computing Scientist

Scott Aaronson appears on the Lex Fridman Podcast across physics, consciousness, biology. Lex describes Scott Aaronson as quantum computing scientist.

Appearances

3

Timeline span

February 17, 2020 to November 20, 2020

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Podcasts

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Scott Aaronson podcast appearances, chapters & timestamps | EpisodeIndex