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Separating quantum computing hype from reality (with Scott Aaronson)

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Treść dostarczona przez Spencer Greenberg. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Spencer Greenberg lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

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What exactly is quantum computing? How much should we worry about the possibility that quantum computing will break existing cryptography tools? When will a quantum computer with enough horsepower to crack RSA likely appear? On what kinds of tasks will quantum computers likely perform better than classical computers? How legitimate are companies that are currently selling quantum computing solutions? How can scientists help to fight misinformation and misunderstandings about quantum computing? To what extent should the state of the art be exaggerated with the aim of getting people excited about the possibilities the technology might afford and encouraging them to invest in research or begin a career in the field? Is now a good time to go into the field (especially compared to other similar options, like going into the booming AI field)?

Scott Aaronson is Schlumberger Chair of Computer Science at the University of Texas at Austin and founding director of its Quantum Information Center, currently on leave at OpenAI to work on theoretical foundations of AI safety. He received his bachelor's from Cornell University and his PhD from UC Berkeley. Before coming to UT Austin, he spent nine years as a professor in Electrical Engineering and Computer Science at MIT. Aaronson's research in theoretical computer science has focused mainly on the capabilities and limits of quantum computers. His first book, Quantum Computing Since Democritus, was published in 2013 by Cambridge University Press. He received the National Science Foundation's Alan T. Waterman Award, the United States PECASE Award, the Tomassoni-Chisesi Prize in Physics, and the ACM Prize in Computing; and he is a Fellow of the ACM and the AAAS. Find out more about him at scottaaronson.blog.

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Manage episode 415830751 series 2807409
Treść dostarczona przez Spencer Greenberg. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez Spencer Greenberg lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Read the full transcript here.

What exactly is quantum computing? How much should we worry about the possibility that quantum computing will break existing cryptography tools? When will a quantum computer with enough horsepower to crack RSA likely appear? On what kinds of tasks will quantum computers likely perform better than classical computers? How legitimate are companies that are currently selling quantum computing solutions? How can scientists help to fight misinformation and misunderstandings about quantum computing? To what extent should the state of the art be exaggerated with the aim of getting people excited about the possibilities the technology might afford and encouraging them to invest in research or begin a career in the field? Is now a good time to go into the field (especially compared to other similar options, like going into the booming AI field)?

Scott Aaronson is Schlumberger Chair of Computer Science at the University of Texas at Austin and founding director of its Quantum Information Center, currently on leave at OpenAI to work on theoretical foundations of AI safety. He received his bachelor's from Cornell University and his PhD from UC Berkeley. Before coming to UT Austin, he spent nine years as a professor in Electrical Engineering and Computer Science at MIT. Aaronson's research in theoretical computer science has focused mainly on the capabilities and limits of quantum computers. His first book, Quantum Computing Since Democritus, was published in 2013 by Cambridge University Press. He received the National Science Foundation's Alan T. Waterman Award, the United States PECASE Award, the Tomassoni-Chisesi Prize in Physics, and the ACM Prize in Computing; and he is a Fellow of the ACM and the AAAS. Find out more about him at scottaaronson.blog.

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