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Neural network assisted high-spatial-resolution polarimetry with non-interleaved chiral metasurfaces

Working principle of the chiral metasurface based polarimetry. Credit: Light: Science & Applications (2023). DOI: 10.1038/s41377-023-01337-6 Polarimetry plays a key role in wide applications from remote sensing and astronomy to biology and microscopy. Traditional polarimetry systems are equipped with a set of polarizers, waveplates, beam-splitters or filters, making the systems bulky and complex. Metasurface, a

Quantum neural networks: An easier way to learn quantum processes

Credit: CC0 Public Domain EPFL scientists show that even a few simple examples are enough for a quantum machine-learning model, the “quantum neural networks,” to learn and predict the behavior of quantum systems, bringing us closer to a new era of quantum computing. Imagine a world where computers can unravel the mysteries of quantum mechanics

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