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LASSP & AEP Seminar - Alan Aspuru-Guzik - University of Toronto

Tuesday, April 13, 2021 at 12:20pm

Virtual Event

Hosted by: Peter McMahon

TITTLE:  What to do with a near-term quantum computer?

In 2019, Google researchers carried out an experiment where they achieved "quantum supremacy". This is defined as when a quantum computer performs *any* task in a way that a classical computer takes impractical amounts of time to simulate its outcome. This is a huge milestone for the field, but several milestones lie ahead. In this talk, I will describe a potential algorithmic road to "quantum advantage", ie. the moment when a quantum computer carries out a *practical* task on a system that is unreachable by current classical computers. To reach quantum advantage presumably many years of hardware development and algorithmic development lie ahead of us. The current era of quantum computing, coined near-term intermediate-scale quantum computing (NISQ) by John Preskill presents many challenges and opportunities. I will discuss this algorithmic road in the context of algorithms for the simulation of molecules and materials, as well as will briefly mention quantum machine learning applications.

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Event Type

Seminar

Departments

LASSP, Applied and Engineering Physics

Tags

lassp_and_aep_seminar, lassp, quantum_site

Contact E-Mail

lmr268@cornell.edu

Contact Name

Lea Reagan

Contact Phone

6072423939

Speaker

Alan Aspuru-Guzik

Speaker Affiliation

University of Toronto

Dept. Web Site

https://www.matter.toronto.edu/

Open To

Public

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