Work

Machine learning meets quantum foundations: A brief survey

Year: 2020

Type: article

Abstract: The goal of machine learning is to facilitate a computer to execute a specific task without explicit instruction by an external party. Quantum foundations seek to explain the conceptual and mathematical edifice of quantum theory. Recently, ideas from machine learning have successfully been applied to different problems in quantum foundations. Here, the authors compile the representative works done so far at the interface of machine learning and quantum foundations. The authors conclude the survey with potential future directions.

Source: AVS Quantum Science

DOI: 10.1116/5.0007529

Authors: Kishor Bharti, Tobias Haug, Vlatko Vedral, Leong-Chuan Kwek

Institutions: Centre for Quantum Technologies, Centre National de la Recherche Scientifique, National University of Singapore, Nanyang Technological University, University of Oxford, UMI MajuLab, National Institute of Education

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Research Foundation Singapore

OpenAlex ID: W3013999312

FWCI: 3.462

Cites: 174

Cited by: 62

Related to: 10