First experimental demonstration of memory-assisted on-demand multimode microwave-to-optical transduction with 0.3-0.4 noise photons at 460-620 microsecond storage in a 171Yb3+:Y2SiO5 crystal at 30 mK.
arXiv:2508.02444(2025)
2 Pith papers cite this work. Polarity classification is still indexing.
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Entanglement improves classification accuracy in distributed quantum ML tasks across datasets, but excessive amounts degrade performance by reducing effective parameter dimension.
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Memory-assisted multimode microwave-to-optical transduction
First experimental demonstration of memory-assisted on-demand multimode microwave-to-optical transduction with 0.3-0.4 noise photons at 460-620 microsecond storage in a 171Yb3+:Y2SiO5 crystal at 30 mK.
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The power of entanglement in distributed quantum machine learning
Entanglement improves classification accuracy in distributed quantum ML tasks across datasets, but excessive amounts degrade performance by reducing effective parameter dimension.