 Hands-on workshop for optimization with quantum annealing and quantum-inspired technologies: From QUBO to black-box problems. Date: Sunday, 13 September 2026 | Description This hands-on workshop introduces optimization using quantum annealing and quantum-inspired technologies, with a focus on practical implementation that can be directly applied to real-world computational science and engineering problems. Participants will learn the basics of QUBO/Ising formulation, implement and execute optimization workflows in Python, and then extend them to black-box optimization problems, commonly arising in simulation- and experiment-driven applications such as design optimization and materials discovery, with an emphasis on workflows that remain effective even without access to quantum hardware. Target audience Researchers, students, and practitioners in computational science and engineering, optimization, numerical simulation, and related fields, as well as those interested in quantum annealing and quantum-inspired technologies for practical applications in research and industry. Expected pre-knowledge Basic Python knowledge is sufficient. No prior knowledge of quantum computing is required, and optimization concepts will be introduced during the workshop. |
 Quantum error correction (QEC) and the interface of QEC Date: tbd | This workshop will discuss quantum error correction (QEC) and the interface of QEC with quantum applications. Participants will learn the basics of QEC, and how compilation of algorithms works, from a logical circuit to gates executed on a fault-tolerant quantum computer. The workshop will also cover the loading of classical data, especially for Partial Differential Equations, into a logical program. Loading of data is a bottleneck for lots of applications on fault-tolerant devices, so this will have broad applicability. |