{"id":9486,"date":"2021-09-04T21:54:05","date_gmt":"2021-09-04T21:54:05","guid":{"rendered":"https:\/\/ieeecsqce.wpengine.com\/2021\/?page_id=9486"},"modified":"2021-10-23T01:07:24","modified_gmt":"2021-10-23T01:07:24","slug":"anthony-megrant-keynote","status":"publish","type":"page","link":"https:\/\/qce.quantum.ieee.org\/2021\/program\/anthony-megrant-keynote\/","title":{"rendered":"Anthony Megrant Keynote"},"content":{"rendered":"\t\t
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\"Anthony<\/a><\/figure>

Keynote Presentation
Progress and Challenges toward an Error-Corrected Quantum Computer
<\/span>Anthony Megrant, Google Quantum AI \u00bb
Lead Research Scientist, Quantum Processor Development<\/a><\/h3>

Friday, October 22, 2021 @ 16:45-18:45 MT \u2014 UTC-6<\/span><\/h4>\n
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Biography \u00bb<\/span><\/a><\/h3>

Dr. Anthony Megrant is a Research Scientist at Google where he leads the Quantum Device Team. His team is responsible for the design, fabrication and characterization of Google\u2019s quantum processors and their integration with the control system. He left the U.S. Army with an honorable discharge in 2001 as a Sergeant. He received his B.S in applied physics from Cornell University in 2009 and his PhD in materials engineering from University of California Santa Barbara in 2016. Since joining Google in 2015, Anthony and his team have worked to improve the performance and increase the scale of quantum processors. Anthony co-designed Google\u2019s 54 qubit Sycamore processor and led its fabrication, buildout and testing. The Sycamore processor achieved \u201cbeyond classical\u201d computational performance for the first time in 2019.<\/span> <\/span>
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Abstract \u00bb<\/font><\/a><\/h3>

Quantum error correction holds the potential to reduce the physical error rates in cutting edge quantum processors currently near 1e-3 to below the 1e-10 error rates required by many practical applications. However combining physical qubits to create logical qubits with exponentially reduced error rates has not been demonstrated. In this talk, I will describe Google Quantum AI\u2019s progress toward this goal using an improved Sycamore processor based on superconducting qubits. We demonstrate the exponential suppression of bit or phase errors with 100x reduction in error rates by running repetition codes with up to 21 qubits. This work also provides a benchmark allowing us to project the performance of larger codes. I will describe how these results are a step along a series of milestones toward an error-corrected quantum computer.<\/span> <\/span>
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Keynote PresentationProgress and Challenges toward an Error-Corrected Quantum ComputerAnthony Megrant, Google Quantum AI \u00bbLead Research Scientist, Quantum Processor Development Friday, October 22, 2021 @ 16:45-18:45 MT \u2014 UTC-6   Biography \u00bb Dr. Anthony Megrant is a Research Scientist at Google where he leads the Quantum Device Team. His team is responsible for the design, fabrication […]<\/p>\n","protected":false},"author":5,"featured_media":2735,"parent":7685,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"footnotes":""},"class_list":["post-9486","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nQCE21 Keynotes \u25cf IEEE Quantum Week 2021<\/title>\n<meta name=\"description\" content=\"The Quantum Week 2021 program features ten world-class keynote speakers addressing topics on Quantum Computing & Engineering.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/qce.quantum.ieee.org\/2021\/program\/anthony-megrant-keynote\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"QCE21 Keynotes \u25cf IEEE Quantum Week 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