Yanbin Chen

Yanbin Chen is a researcher at the Technical University of Munich (TUM) within the Chair for Languages and Description Structures in Computer Science (Informatik 2). His research focuses on quantum computing optimizations, quantum programming languages, static analysis, ZX-calculus, and tensor networks. He collaborates with the Munich Quantum Valley (MQV) to advance quantum computing ecosystems, addressing challenges in quantum programming tools, algorithms, and hardware integration.

He teaches courses such as Program Optimization, Quantum Computing at Compile Time, and Virtual Machines. His advising includes student theses on topics like quantum circuit synthesis, noise-tolerant algorithms, and quantum compiler design. Yanbin actively contributes to conferences and journals, publishing on circuit optimization frameworks, dead gate elimination, and probabilistic quantum models.

Research collaborations include MQV, and he explores neutral atom-based quantum computing models. His work bridges quantum computing with high-performance computing (HPC), emphasizing practical tools and scalable solutions.