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BTQ's Collaborative Research Paper on Proof-of-Work Consensus by Quantum Sampling Featured in New Scientist, an Esteemed Science and Technology News Magazine

BTQ's Collaborative Research Paper on Proof-of-Work Consensus by Quantum Sampling Featured in New Scientist, an Esteemed Science and Technology News Magazine
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Shtetl-Optimized » Blog Archive » Doubts about teapot supremacy: my reply to Richard Borcherds


Richard Borcherds is a British mathematician at Berkeley, who won the 1998 Fields Medal for the proof of the monstrous moonshine conjecture among many other contributions. A couple months ago, Borcherds posted on YouTube a
self-described “rant” about quantum computing, which was recently making the rounds on Facebook and which I found highly entertaining.
Borcherds points out that the term “quantum supremacy” means only that quantum computers can outperform existing classical computers on
some benchmark, which can be chosen to show maximum advantage for the quantum computer. He allows that BosonSampling could have some value, for example in calibrating quantum computers or in comparing one quantum computer to another, but he decries the popular conflation of quantum supremacy with the actual construction of a scalable quantum computer able (for example) to run Shor’s algorithm to break RSA. ....

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ACM Prize awarded to pioneer in quantum computing


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IMAGE: Scott Aaronson, a Professor of Computer Science at the University of Texas, Austin, has been selected as the recipient of the 2020 ACM Prize in Computing. Aaronson is recognized for.
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Credit: Association for Computing Machinery
ACM, the Association for Computing Machinery, today announced that Scott Aaronson has been named the recipient of the 2020 ACM Prize in Computing for groundbreaking contributions to quantum computing. Aaronson is the David J. Bruton Jr. Centennial Professor of Computer Science at the University of Texas at Austin.
The goal of quantum computing is to harness the laws of quantum physics to build devices that can solve problems that classical computers either cannot solve, or not solve in any reasonable amount of time. Aaronson showed how results from computational complexity theory can provide new insights into the laws of quantum physics, and brought clarity to what quantum computers will, and will not, ....

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