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Special Session
Special Session on
Quantum Artificial Intelligence and Optimization 2025 - QAIO 2025

23 - 25 February, 2025 - Porto, Portugal

Within the 17th International Conference on Agents and Artificial Intelligence - ICAART 2025


CHAIR

Michael Kölle
Mobile and distributed Systems Group, LMU Munich
Germany

 
Brief Bio
Michael Kölle is a researcher currently pursuing a Ph.D. in Computer Science, focusing on the intersection of Artificial Intelligence and Quantum Computing. After obtaining a Bachelor of Science in Media Informatics in 2018, Mr. Kölle graduated with a Master’s degree in Computer Science in 2021, both from Ludwig-Maximilians-Universität München, Germany. Mr. Kölle's research primarily explores how quantum computing can be integrated with machine learning to develop innovative solutions within Quantum AI. This work aims to harness the computational powers of quantum technologies to address complex problems that are beyond the scope of classical computing methods. Alongside, Mr. Kölle is also deeply involved in studying Multi-Agent Systems, investigating how multiple intelligent agents can interact within a system to achieve individual or collective goals efficiently.

SCOPE

Our special session, "Quantum Artificial Intelligence and Optimization", is designed as a collaborative bridge between classical artificial intelligence (AI) and emerging quantum computing technologies. It aims to facilitate knowledge transfer and synergistic exploration among AI experts and quantum computing pioneers. This session will delve into how quantum computing can enhance AI through improved optimization algorithms, quantum machine learning models, and the seamless integration of quantum and classical computing techniques. Participants will engage in discussions on theoretical foundations, practical applications, and the development of hybrid systems that leverage the best of both worlds. By focusing on collaboration, this platform encourages the sharing of insights, challenges, and future directions, paving the way for breakthroughs in AI capabilities powered by quantum advancements.

TOPICS OF INTEREST

Topics of interest include, but are not limited to:
  • Quantum AI & Decision Making
  • Quantum Machine Learning
  • Quantum Optimization Algorithms
  • Hybrid Quantum-Classical Computing
  • Quantum Architecture Design & Synthesis
  • Quantum Circuit Optimization using AI
  • Applications of Quantum AI
  • Quantum Machine Learning Operations
  • Distributed Quantum Machine Learning
  • Quantum Cognition & Affect

IMPORTANT DATES

Paper Submission: December 18, 2024 (expired)
Authors Notification: January 14, 2025
Camera Ready and Registration: January 22, 2025

SPECIAL SESSION PROGRAM COMMITTEE

Philipp Altmann, LMU Munich, Germany
Damir Cavar, Indiana University Bloomington, United States
Samuel Yen-Chi Chen, Wells Fargo, United States
Marcus Doherty, Quantum Brilliance, Australia
Thomas Ehmer, Healthcare Digital and Data, Merck KGaA, Germany
Sebastian Feld, Delft University of Technology, Netherlands
Thomas Gabor, LMU Munich, Germany
Daniel Hein, Foundational Technologies, Siemens AG, Germany
Inge Svein Helland, University of Oslo, Norway
Johnny K. W. Ho, The Hong Kong Polytechnic University, Hong Kong
Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany
Chon-Fai Kam, University at Buffalo, United States
Gopal Karemore, IBM Quantum, United States
Dieter Kranzlmüller, Ludwig-Maximilians-Universität (LMU) Munich - Leibniz Supercomputing Centre (LRZ), Germany
Florian Krellner, SAP SE, Germany
Claudia Linnhoff-Popien, Ludwig-Maximilians-Universität Munich, Germany
Jeanette Miriam Lorenz, Fraunhofer IKS, Germany
Nico Meyer, Fraunhofer IIS, Germany
Tobias Müller, SAP SE, Germany
Robert Müller, Alexander Thamm [at], Germany
Evert van Nieuwenburg, Leiden University, Netherlands
Kyrill Schmid, ZenAI and MaibornWolff GmbH, Germany
Shaswot Shresthamali, Graduate School of Information Science and Electrical Engineering, Kyushu University, Japan
Kuan Yen Tan, Independent Researcher, Finland
Takao Tomono, Graduate school of Media and Governance, Graduate school of Science and Engineering, Keio Univerisity, Japan
Steffen Udluft, Learning Systems, Siemens Technology, Germany
Christian Uftrecht, Fraunhofer IIS, Germany
Xin Wang, The Hong Kong University of Science and Technology (Guangzhou), China
Jianjun Zhao, Faculty of Information Science and Electrical Engineering, Kyushu University, Japan

(list not yet complete)

PAPER SUBMISSION

Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.

PUBLICATIONS

After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library

SECRETARIAT CONTACTS

ICAART Special Sessions - QAIO 2025
e-mail: icaart.secretariat@insticc.org
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