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Workshop on Quantum Artificial Intelligence and Optimization - QAIO 2027

23 - 25 February, 2027 - Valletta, Malta

In conjunction with the 19th International Conference on Agents and Artificial Intelligence - ICAART 2027


CO-CHAIRS

Michael Kölle
Mobile and Distributed Systems Group, LMU Munich
Germany
 
Short 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.
Tobias Rohe
LMU Munich
Germany
 
Short Bio
Tobias Rohe earned a Bachelor of Science in Business Administration from the University of Munich, including a semester at the University of Exeter, in 2019. He completed a Bachelor of Science in Computer Science at the University of Munich in 2022, and also holds a Master of Science in Business Administration, with a focus on Innovation & Digital Business, from the same university since 2021. Currently, he is a PhD student in Computer Science at the University of Munich, having started in 2023. His professional experience includes working as an academic assistant and serving as an external consultant for IQM Quantum Computers.

SCOPE

Our workshop, "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 revolutionize AI through enhanced 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 Generative Models

IMPORTANT DATES

Paper Submission: December 3, 2026
Authors Notification: December 21, 2026
Camera Ready and Registration: January 8, 2027

WORKSHOP PROGRAM COMMITTEE

Samuel Yen-Chi Chen, Wells Fargo, United States
Elias Combarro, University of Oviedo, Spain
Sven Engelmann, Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen, Germany
Sebastian Feld, Delft University of Technology, Netherlands
Victoria Goliber, D-Wave, United States
Daniel Hein, Foundational Technologies, Siemens AG, Germany
Thomas Husslein, OptWare, Germany
Luigi Iapichino, Leibniz Supercomputing Centre (LRZ), Germany
Chon-Fai Kam, University at Buffalo, United States
Gopal Karemore, IBM Quantum, United States
Florian Knäble, Fraunhofer IAO, Germany
Florian Krellner, SAP SE, Germany
Rajiv Krishnakumar, QuantumBasel, Switzerland
Jeanette Miriam Lorenz, Fraunhofer IKS, Germany
Francisco Martínez Álvarez, Pablo de Olavide University of Seville, Spain
Nico Meyer, Fraunhofer IIS, Germany
Michael Schlotter, Schaeffler Technologies AG & Co. KG, Germany
Takao Tomono, Graduate School of Media and Governance, Graduate School of Science and Eng., Keio Univerisity, Japan
Steffen Udluft, Learning Systems, Siemens Technology, Germany
Autilia Vitiello, University of Naples Federico II , Italy
Jianjun Zhao, Faculty of Information Science and Electrical Engineering, Kyushu University, Japan
Maximilian Zorn, LMU Munich, Germany

(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 workshop 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.
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/).
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).

SECRETARIAT CONTACTS

ICAART Workshops - QAIO 2027
e-mail: icaart.secretariat@insticc.org
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