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Quantum Computing to Accelerate High Fidelity Computational Materials ModelingIn this CIF we worked to develop quantum algorithms for material science simulations based on new ideas recently proposed on plane wave basis sets. Many body simulations are not generally performed in plane wave basis sets on classical hardware, but with newly proposed quantum algorithms, it is possible this will be a highly efficient basis set to run quantum simulations on quantum hardware. Using state of the art classical simulations we ran small test simulations to estimate the resources that will be needed to run such plane wave algorithms on quantum hardware. We demonstrate our approach for a series of atoms and molecular systems.
Document ID
20210011664
Acquisition Source
Ames Research Center
Document Type
Abstract
Authors
Norman Tubman
(Ames Research Center Mountain View, California, United States)
Date Acquired
March 19, 2021
Publication Date
March 19, 2021
Publication Information
Publication: Tech Bytes
Subject Category
Computer Operations And Hardware
Funding Number(s)
CONTRACT_GRANT: FY20 CIF
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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