Energy consumption and in turn heat dissipation is a core obstacle in the quest of engineering ever more faster computers. We show massive parallelization of computing hardware and software offers a way to further increase energy efficiency of computers by orders of magnitude.
Complex networks have been introduced as the best theoretical framework to model a large variety of physical, biological, and social systems where an intertwined pattern of interactions couples many elements.
Quantifying uncertainty and performing sensitivity analysis in real-world, large-scale numerical simulations is virtually impossible with standard methods. We show that our recently developed sensitivity-driven sparse grid interpolation methods enables these two important tasks at scale.
Quantum technologies (QT) have been rapidly emerging in the last several years and becoming a topic of interest for commercial actors. In this paper, we present a landscaping study with a gathered dataset of 441 companies from 42 countries that we identify as quantum start-ups.
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