[CFP] IEEE QCE 2023 - Workshop on Quantum Machine Learning (QML@QCE)

[Volker Tresp]

Workshop on Quantum Machine Learning: From Foundations to Applications at the IEEE International Conference on Quantum Computing and Engineering (IEEE Quantum Week)

Quantum computing has made significant progress in recent years and scientists are exploring its applications across various fields, including quantum machine learning (QML). The workshop fosters an interdisciplinary dialogue between experts from various fields, including AI, ML, software/systems engineering, physics, and more. The workshop will also incorporate industrial users to identify application potentials and explore co-design ideas that enable special-purpose, hybrid quantum-classical appliances to be designed for problems of topical importance. By bringing together researchers and practitioners, the workshop advances the state of the art in QML and identifies practical applications of the technology.

QML@QCE strives for a high-quality, diverse, and innovative program, and solicits a range of varied contributions. We seek research, systems, experiment/analysis, and application papers, as well as poster submissions on all topics described above especially by younger members of the community. Papers are allowed four pages in IEEE transactions format (excluding references) and may add a fifth page after review to address reviewer comments. We do not accept pure position papers without sufficient technical content, or other (mostly) marketing materials for commercial offerings.

 All manuscripts will be peer reviewed by at least three PC members and published as workshop proceedings to the main IEEE conference. Manuscripts must be electronically submitted as pdf via EasyChair (link below). Further information is available on the QML@QCE’23  webpage: https://qml.lfdr.de/2023 <https://qml.lfdr.de/2023>

Paper submission: June 15, 2023

Notification date: July 15, 2023

Final manuscript due: August 7, 2023

Conference date: September 17-22, 2023

Location: Bellevue, Washington, USA

EasyChair link: https://easychair.org/my/conference?conf=qce23 <https://easychair.org/my/conference?conf=qce23>

(Author > New Submission > WKS06)

Workshop Organizers:

Volker Tresp, LMU

Steffen Udluft, Siemens AG

Daniel Hein, Siemens AG

Martin Leib, IQM

Christopher Mutschler, Fraunhofer IIS

Daniel D. Scherer, Fraunhofer IIS

Wolfgang Mauerer, OTH Regensburg