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dc.contributor.authorBrown, Kenneth
dc.date.accessioned2017-10-03T19:46:06Z
dc.date.available2017-10-03T19:46:06Z
dc.date.issued2017-09-26
dc.identifier.urihttp://hdl.handle.net/1853/58823
dc.descriptionPresented at the Nano@Tech Meeting on September 26, 2017 at 12:00 p.m. in the Marcus Nanotechnology Building, Rooms 1117-1118, Georgia Tech.en_US
dc.descriptionKenneth Brown is an Associate Professor of Chemistry and Biochemistry, Computational Science and Engineering, and Physics. He received his PhD from UC Berkeley and was a postdoctoral fellow at MIT. His research interests include quantum information processing and cold molecular ions. He currently serves as the Past Chair of the Division of Quantum Information of the American Physical Society.en_US
dc.descriptionRuntime: 52:15 minutesen_US
dc.description.abstractQuantum computation promises to provide scientists and engineers a new tool for accurately and efficiently calculating the properties of materials and molecules. The challenge is how to build a sufficiently large quantum computer that can compete with today's classical computer systems. After introducing the promises and challenges of quantum computers, I will discuss my group's approach to making robust quantum computers via quantum control and quantum error correction.en_US
dc.format.extent52:15 minutes
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesNano@Tech Lecture Seriesen_US
dc.subjectComputingen_US
dc.subjectNanotechnologyen_US
dc.subjectQuantum computingen_US
dc.titleQuantum Computing for Scienceen_US
dc.typeLectureen_US
dc.typeVideoen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Electronics and Nanotechnologyen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Chemistry and Biochemistryen_US


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