SParSeFuL combines proximity-based self-federated learning with sparsification and quantization, but the paper is a proposal with no end-to-end evaluation.
High spectro-temporal purity single-photons from silicon micro-racetrack resonators using a dual-pulse configuration
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
abstract
Single-photons with high spectro-temporal purity are an essential resource for quantum photonic technologies. The highest reported purity up until now from a conventional silicon photonic device is 92% without any spectral filtering. We have experimentally generated and observed single-photons with 98.0+-0.3 % spectro-temporal purity using a conventional micro racetrack resonator and an engineered dual pump pulse.
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0
SParSeFuL combines proximity-based self-federated learning with sparsification and quantization, but the paper is a proposal with no end-to-end evaluation.