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Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)

Gonski, Julia et al.
arXiv (All) · Papers
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hardware-architecturehigh-energy-physics-experimentinstrumentation-and-detectorssignal-processing
The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environments and operational constraints. Harnessing this data for scientific discovery demands real-time inference and decision-m
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