Julian Schuhmacher, Laura Boggia, et al.
Machine Learning: Science and Tech.
Among the many computational challenges faced across different disciplines, quantum-mechanical systems pose some of the hardest ones and offer a natural playground for the growing field of quantum technologies. In this Perspective, we discuss quantum algorithmic solutions for quantum dynamics, reporting on the latest developments and offering a viewpoint on their potential and current limitations. We present some of the most promising areas of application and identify possible research directions for the coming years.
Julian Schuhmacher, Laura Boggia, et al.
Machine Learning: Science and Tech.
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APS Global Physics Summit 2025
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ICLR 2024
Max Rossmannek, Fabijan Pavošević, et al.
Journal of Physical Chemistry Letters