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001029374 1001_ $$0P:(DE-Juel1)165859$$aDiaz-Pier, Sandra$$b0$$eCorresponding author
001029374 245__ $$aImpact of quantum and neuromorphic computing on biomolecular simulations: Current status and perspectives
001029374 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2024
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001029374 520__ $$aNew high-performance computing architectures are becoming operative, in addition to exascale computers. Quantum computers (QC) solve optimization problems with unprecedented efficiency and speed, while neuromorphic hardware (NMH) simulates neural network dynamics. Albeit, at the moment, both find no practical use in all atom biomolecular simulations, QC might be exploited in the not-too-far future to simulate systems for which electronic degrees of freedom play a key and intricate role for biological function, whereas NMH might accelerate molecular dynamics simulations with low energy consumption. Machine learning and artificial intelligence algorithms running on NMH and QC could assist in the analysis of data and speed up research. If these implementations are successful, modular supercomputing could further dramatically enhance the overall computing capacity by combining highly optimized software tools into workflows, linking these architectures to exascale computers.
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001029374 7001_ $$0P:(DE-Juel1)145614$$aCarloni, Paolo$$b1$$ufzj
001029374 773__ $$0PERI:(DE-600)2019233-2$$a10.1016/j.sbi.2024.102817$$gVol. 87, p. 102817 -$$p102817$$tCurrent opinion in structural biology$$v87$$x0959-440X$$y2024
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