Nico Meyer Wins Best Talk Award at ML4QT Symposium

In mid-July, Nico Meyer and his colleagues from Fraunhofer IIS participated in the “Symposium on Machine Learning to Advance Quantum Technologies (ML4QT)” held in Heilbronn. Over the course of three days, the symposium featured keynotes, invited talks, contributed presentations, and poster sessions exploring the intersection of machine learning and quantum computing.

We are proud to share that Nico Meyer received The Best Talk Award for his presentation titled “Variational Quantum Error Correction: Generating Noise-Adaptive Encoding Schemes with Machine Learning.” The award, sponsored by the Dieter Schwarz Foundation, comes with a prize of €6,000 to support international travel and academic exchange.

The key contributions highlighted in the presentation (based on N. Meyer et al.: “Learning Encodings by Maximizing State Distinguishability”):

• Development of a machine learning-based approach for generating quantum error correction (QEC) codes tailored to arbitrary noise structures.
• Demonstration of significantly improved resource efficiency validated both analytically and empirically.
• Experimental results on IBM and IQM quantum hardware showcasing performance that surpasses the break-even point.