In-person event | July 6 – 8, 2026 | experimenta Heilbronn
Topics: Fault-Tolerant Algorithms, Quantum Error Correction, Quantum Simulation
About the symposium
“And by golly it’s a wonderful problem, because it doesn’t look so easy.” (R. Feynman)
The simulation of quantum physical systems promises to be among the first fields to demonstrate a superiority of quantum computing over classical methods. Achieving this milestone with potential disruptive impact on several industry branches requires a joint effort to develop both: efficient, practical quantum algorithms and fault-tolerant, error-corrected quantum computers.
This symposium brings together leading researchers and experts from academia and industry to explore recent advances and challenges in the development of fault-tolerant quantum systems and quantum algorithms for material science and quantum chemistry.
flaQship organizes this event as part of our activities in the Competence Center Quantum Computing Baden-Württemberg (KQCBW) together with the Center for Advanced Systems Understanding (CASUS), and the Heilbronn University of Applied Sciences (HHN). It is the 2026 edition of a series of symposia at the Heilbronn site of the Fraunhofer Research and Innovation Center for Application-oriented Quantum AI, which promotes knowledge exchange, strengthens professional networking, and supports the flow of knowledge to Baden-Württemberg and the dynamically developing quantum technology region of Heilbronn.
Confirmed Speakers
- Prof. Barbara Terhal, TU Delft
- Prof. Jens Eisert, FU Berlin
- Prof. Lin Lin, UC Berkeley
- Prof. Thomas D. Kühne, CASUS
- Dr. Nick Blunt, Riverlane
- Dr. Christian Gogolin, Covestro
- Dr. Nathan Fitzpatrick, Quantinuum
- Dr. Guang Hao Low, Google Quantum AI (tent.)
- Dr. Nicholas Rubin, Google Quantum AI
- Dr. Tristan Müller, IBM
- Dr. Ivano Tavernelli, IBM
Call for Contributions Opens –
– Deadline Call for Contributions
Feedback Contributions –
– Deadline Registraton
Symposium –
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.
The symposium will take place at experimenta, Germany’s largest science center, located in the heart of Heilbronn—a rising quantum hub and a unique venue where national and international expertise in quantum research converge.
experimenta – Das Science Center
Experimenta-Platz
74072 Heilbronn
If you require accommodation during your stay in Heilbronn, we invite you to explore the recommended hotels by the city of Heilbronn.
We invite contributions, both for talks and posters, showcasing your recent work and findings in fault-tolerant quantum algorithms, quantum error correction, as well as applied quantum computing for material science and/or quantum chemistry. Areas of interest include:
- Quantum computing for quantum chemistry
- Quantum computing for material science
- Quantum error correction and fault-tolerance
- Quantum algorithms for scientific computing
Submission
Submissions are possible from December 1, 2025 until March 31, 2026. For this we ask for:
- a title
- a short abstract with max. 250 words
- a short bio with max. 100 words
Please submit your contribution here: https://eveeno.com/371677657
We look forward to innovative contributions and impulses!
Prof. David Kreplin
Hochschule Heilbronn
Dr. Jan Schnabel
Fraunhofer IPA
Dr. Andreas Sturm
Fraunhofer IAO
Dr. Vamshi Katukuri
Fraunhofer IAO
Dr. Werner Dobrautz
Dresden-concept
Dr. Jan Schnabel
Fraunhofer IPA
Dr. Vamshi Katukuri
University of Waterloo
Dr. Andreas Sturm
Fraunhofer IAO
Dr. Jan Schnabel
Fraunhofer IPA
Dr. Vamshi Katukuri
University of Waterloo
Dr. Andreas Sturm
Fraunhofer IAO
Dr. Jan Schnabel
Fraunhofer IPA
Dr. Vamshi Katukuri
University of Waterloo
Dr. Andreas Sturm
Fraunhofer IAO
Organized by:
Fraunhofer IAO:
Dr. Vamshi Katukuri
Dr. Andreas Sturm
Dr. Anne-Sophie Tombeil
Chiara Stephan
Fraunhofer IPA:
Dr. Jan Schnabel
In cooperation with:
Center for Advanced Systems Understanding (CASUS):
Dr. Werner Dobrautz
Heilbronn University of Applied Sciences:
Prof. David Kreplin
