The Algorithms and Applications for PDEs team focusses on the paradigm of quantum centric supercomputing. Here, the idea is to mix and match the state of the art in all three areas -- quantum computing, AI and conventional numerics -- to yield breakthrough performance increases for forward and inverse problems for PDEs. Our global team actively works on quantum solvers, neural operators and data assimilation methods with a particular focus on workflows and algorithms that bridge computational paradigms. Partial differential equations appear throughout scientific and industrial problems. …
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