Work

Quantum embedding theories to simulate condensed systems on quantum computers

Year: 2022

Type: review

Source: Nature Computational Science

DOI: 10.1038/s43588-022-00279-0

Authors: Christian Vorwerk, Nan Sheng, Marco Govoni, Benchen Huang, Giulia Galli

Institutions: University of Chicago, Argonne National Laboratory

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: U.S. Department of Energy, National Energy Research Scientific Computing Center, Midwest Integrated Center for Computational Materials, Office of Science, Laboratory Directed Research and Development, Argonne National Laboratory

Awards: G107546177, G121915436, G122673668, G1286236842, G1313983767, G1677143136, G2638771445, G3083819904, G419881185, G42916606, G4501827968, G498139845, G5076365615, G6652958823, G788322952, G969889393

OpenAlex ID: W4287512151

FWCI: 0.922

Cites: 190

Cited by: 71

Related to: 10