MS 8: Accelerating Simulations through Quantum Computing

In recent years, quantum computing has emerged from an appealing new idea of building revolutionary new compute hardware to constructing actual target systems for algorithm development in many application domains, in particular simulations and machine learning. In the current NISQ (noisy intermediate scale) phase in quantum computing, large simulations are far from being reliably executable on quantum systems as a whole. However, recent results indicate that quantum systems may be used in a heterogeneous architecture, complementing conventional CPU-GPU-based architectures to accelerate simulations. These insights can fundamentally challenge best practices in higher-level algorithm design and influence the development of novel algorithms in many areas of application ranging from computational chemistry over structural mechanics to stochastic modeling. This minisymposium aims at bringing together researchers focussing on such innovative algorithms combining conventional architectures with quantum devices to accelerate real-world simulations.