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Finding Genius Podcast

Scott Aaronson – Quantum Computing, Superposition and Entanglement

Finding Genius Podcast

Richard Jacobs

Medicine, Health & Fitness

4.41K Ratings

🗓️ 27 February 2017

⏱️ 49 minutes

🧾️ Download transcript

Summary

Scott Aaronson, professor at the University of Austin Texas and former professor at MIT explains what a quantum computer is, various possible applications, the types of problems they are good at solving and much more.
Scott's research interests center around the capabilities and limits of quantum computers, and computational complexity theory more generally.
NP-hard and NP-complete problems are discussed, as well as the travelling salesman problem.
Scott explains how quantum computing is going to be an expressive form of quantum mechanics and how can it affect our daily lives after going mainstream.
From applications in cryptography to factoring huge numbers to solving exponential problems, quantum computers can have various other applications. This is just the first step in a long journey.
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Transcript

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0:00.0

Welcome to Almost Here, Around the Corner of Future Technology Podcasts with Richard Jacobs.

0:07.9

Future Technologies are poised to transform our lives for better or worse for the focus of this podcast.

0:13.6

Almost here means these technologies are now here and starting to be used.

0:18.2

We're just around the corner.

0:19.7

From Bitcoin to artificial intelligence 3d printing

0:22.6

blockchain virtual reality and more hi this is richard jacobs with a future tech podcast almost here

0:30.2

around the corner of technology and today i'm going to be talking about quantum computing with

0:35.0

scott arrenson scott how you doing i'm. Scott, how are you doing?

0:38.6

I'm doing all right.

0:39.1

How are you?

0:40.7

Good.

0:42.1

Thanks so much for coming on the call.

0:47.8

If you would, can you give listeners a brief intro of yourself and your background and what you're doing in this area?

0:50.8

Okay.

0:51.8

Well, so I am a professor of computer science at the University of Texas at Austin.

1:00.0

I just moved here this summer.

1:04.0

Before this I taught at MIT for nine years, and for that, why I studied computer science,

1:13.7

like I said, Cornell and then Berkeley,

1:16.6

and worked also at the Institute for Aband Study

1:21.7

in Princeton and in Waterloo, Canada.

1:26.4

And so I'm interested in what are the ultimate limits of computation. You know,

1:36.0

what problems can we solve? Can we not solve with computers? What are the most terrible kinds of

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