Work

Barriers to efficient mixing of quantum-enhanced Markov chains

Year: 2024

Type: article

Source: Physical Review A

DOI: 10.1103/physreva.110.052434

Authors: Alev Orfi, Dries Sels

Institutions: Flatiron Institute, New York University

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Simons Foundation, Defense Advanced Research Projects Agency, Air Force Office of Scientific Research

Awards: Quantum Integration of Data and Emergence at Atomic Scales (Qu-IDEAS), G2149889629, G3761383497

OpenAlex ID: W4404692126

FWCI: 0.442

Cites: 30

Cited by: 3

Related to: 10