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LOCATION:HG EO Nord
DTSTART;TZID=Europe/Stockholm:20190613T195000
DTEND;TZID=Europe/Stockholm:20190613T215000
UID:submissions.pasc-conference.org_PASC19_sess179_post130@linklings.com
SUMMARY:CSM04 - Applications of Quantum Computing to Linear Algebra Eigend
 ecomposition Problems
DESCRIPTION:Poster\n\n\nCSM04 - Applications of Quantum Computing to Linea
 r Algebra Eigendecomposition Problems\n\nPowers, Tarditi, Humble\n\nThis w
 ork explores the application of the unique features of quantum computing (
 QC) to solve very large, eigendecomposition linear algebra problems. 
   Our approach utilizes the D-Wave quantum processing unit (QPU), a l
 eading quantum computing hardware platform based on a 2048 qubit architect
 ure.  Although this size is small relative to conventional computer m
 emory, the QPU can converge to a solution by considering a superposition o
 f the 22048 possible configurations.  In this work, we present the de
 velopment of a quantum eigensolver algorithm specifically designed for the
  D-Wave QPU and provide comparisons with state-of-the-art conventional sol
 vers. A successful implementation at a large scale of the proposed approac
 h will help to define the direction of future research in quantum algorith
 ms and hardware, with the expectation of an increasingly large impact on h
 igh-performance computing in the post-exascale timeframe.  Early insi
 ghts into the potential impact of quantum computing on a problem as essent
 ial and challenging as matrix decomposition is poised to represent a step-
 change in the application of computational technology to a broad range of 
 scientific developments.
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