Work

Workshop Summary: Quantum Machine Learning

Year: 2023

Type: conference-paper

Source: IEEE International Conference on Quantum Computing and Engineering (QCE)

DOI: 10.1109/qce57702.2023.10174

Authors: Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer

Institutions: Siemens (Germany), Ludwig-Maximilians-Universität München, IQM (Germany), Fraunhofer Institute for Integrated Circuits, OTH Regensburg

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4389168223

FWCI:

Cites: 24

Cited by:

Related to: 10