arxiv
PublishedJune 18, 2026 at 4:00 AM
—neutral
Trainable Photonic Measurement for Physics-Informed PDE Learning
Publisher summary· verbatim
arXiv:2606.18713v1 Announce Type: new Abstract: Photonic quantum machine learning offers a route to trainable physical representations built from phase, interference and measurement. However, its role in scientific machine learning remains largely unexplored. Physics-informed neural fields provide a
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Originally published on arxiv ↗