Work

Enhancing the Accuracy and Efficiency of Sample-Based Quantum Diagonalization with Phaseless Auxiliary-Field Quantum Monte Carlo

Year: 2025

Type: article

Source: Journal of Chemical Theory and Computation

DOI: 10.1021/acs.jctc.5c01407

Authors: Don Danilov, Javier Robledo-Moreno, Kevin J. Sung, Mario Motta, James Shee

Institutions: Rice University, IBM (United States), IBM Research - Thomas J. Watson Research Center

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Welch Foundation

Award: G2078428620

OpenAlex ID: W4415830638

FWCI: 2.474

Cites: 77

Cited by: 6

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