Work

Quantum power flows: from theory to practice

Year: 2024

Type: article

Source: Quantum Machine Intelligence

DOI: 10.1007/s42484-024-00182-z

Authors: Junyu Liu, Han Zheng, Masanori Hanada, Kanav Setia, Dan Wu

Institutions: University of Pittsburgh, University of Chicago, University of Surrey, Huazhong University of Science and Technology, Massachusetts Institute of Technology

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy, International Business Machines Corporation, University of Chicago, Multidisciplinary University Research Initiative, Science and Technology Facilities Council, Solar Energy Technologies Office, Air Force Office of Scientific Research

Awards: G1404049065, G1523888516, CRISP Type 2/Collaborative Research: Understanding the Benefits and Mitigating the Risks of Interdependence in Critical Infrastructure Systems, G3990184095, G431725244, G4516736450, Computational Approach to Quantum Gravity via Holography, G5219531368, G6478756169

OpenAlex ID: W4402283834

FWCI: 2.053

Cites: 30

Cited by: 16

Related to: 10