Work

Classical Surrogates for Quantum Learning Models

Year: 2023

Type: article

Source: Physical Review Letters

DOI: 10.1103/physrevlett.131.100803

Authors: Franz J. Schreiber, Jens Eisert, Johannes Jakob Meyer

Institutions: Freie Universität Berlin, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Helmholtz-Zentrum Berlin für Materialien und Energie

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Bundesministerium für Wirtschaft und Klimaschutz, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Einstein Stiftung Berlin

Award: G1688234926

OpenAlex ID: W4386524022

FWCI: 4.55

Cites: 23

Cited by: 52

Related to: 10