Symposium ML4QT | Machine Learning to Advance Quantum Technologies

Heilbronn, July 7-8, 2025

About the Symposium ML4QT

Machine Learning (ML) possesses a tremendous potential for enhancing quantum hardware and software. Join us to explore, for example, how ML can advance algorithm design or Quantum Processing Units (QPU) control. We will also shed light on how machine learning can boost quantum technologies through new ML-based research methodologies. 

The Symposium Machine Learning to Advance Quantum Technologies (ML4QT) is designed as a premier forum for researchers and developers who are passionate about the intersection of machine learning and quantum technologies. Whether you’re already working in this exciting field or looking to engage, ML4QT is the perfect platform to explore opportunities and synergies that will drive the development of quantum technologies forward. 

At this inaugural event we will also introduce the emerging Applied Quantum AI Hub Heilbronn, a dedicated center focused on driving applied quantum research and innovation. Moreover, ML4QT marks the first step towards establishing an annual gathering, fostering long-term exchange and collaboration among experts from academia, research institutions, and industry.

ML4QT is generously funded by the Dieter Schwarz Foundation. 

Venue

The symposium is hosted at experimenta, Germany's largest Science Center, located in the heart of Heilbronn—an emerging quantum hub and unique location where expertise from national and international research institutions converges.

experimenta - Das Science Center
Experimenta-Platz 
74072 Heilbronn

If you need a hotel room for your stay in Heilbronn, you can take a look at the hotel recommendations. of the city of Heilbronn.  

Call for Contribution

You are invited to submit a talk or a poster (including a mini presentation) on your current work and findings regarding Quantum and/or AI research. Especially welcome are submissions corresponding to recent research in (quantum) machine learning. Topics include, but are not limited, to:

  • Machine Learning for Quantum Hardware 
  • Machine Learning for Quantum Software
  • Machine Learning for Research Methods

 

Submission 

Submissions are possible until April 18, 2025. For this we ask for:

  • Short abstract with max. 250 words/ 2000 characters
  • Short biography with max. 100 words/ 500 characters

Please submit your contribution here.

 

We look forward to innovative contributions and impulses!

Program

The symposium includes keynotes, invited and contributed talks as well as plenary discussions. There will also be a poster session, an evening event and a conference dinner.

Preliminary Program

Day 1
09:00 Opening
09:15 Keynote I
10:15 Keynote II
11:15 Coffee Break
11:30 Keynote III
12:30 Lunch Break
13:30 Mini Poster Presentation Session and Guided Tours
14:30 Contributed/ Invited Talks
15:30 Coffee Break
16:00 Contributed/ Invited Talks
17:30 Conference Dinner and Evening Event 
 
Day 2
09:00 Welcome Back and Best Poster Award
09:15 Contributed/ Invited Talks
10:30 Coffee Break
11:00 Ask-the-Experts
12:00 Lunch Break
13:00 Contributed/ Invited Talks
14:30 Coffee Break
14:45 Best Speaker Award
15:00 Panel and Plenary Discussion 
15:45 Closing Notes
16:00 End
Program Committee

Dr. Marco Roth, Fraunhofer IPA

Dr. Christian Tutschku, Fraunhofer IAO

Prof. Dr. Achim Kempf, University of Waterloo