HTC predicts PNN classification loss via a power law, with experimental and simulated data from distinct physical systems collapsing onto task-specific curves.
and Genty, Go\"ery and Coen, St\'ephane , date-added =
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
Monolithic Si3N4 platform achieves EPR fidelity 0.9875(3), HOM visibility 0.990(6), and four-photon GHZ fidelity 0.943(8) at 27 Hz—more than 100x prior silicon-photonic rates—using CMOS-compatible 150 mm wafer fabrication.
A systematic review compiling theory from the complex Ginzburg-Landau equation and experiments on bound states of two or more dissipative solitons in fiber lasers, covering temporal, frequency, scalar, vector, multi-soliton, and spatiotemporal modes.
citing papers explorer
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Power law scaling for classification accuracy in physical neural networks
HTC predicts PNN classification loss via a power law, with experimental and simulated data from distinct physical systems collapsing onto task-specific curves.
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An ultralow-loss integrated photonic platform for discrete-variable quantum information processing
Monolithic Si3N4 platform achieves EPR fidelity 0.9875(3), HOM visibility 0.990(6), and four-photon GHZ fidelity 0.943(8) at 27 Hz—more than 100x prior silicon-photonic rates—using CMOS-compatible 150 mm wafer fabrication.
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Bound states of solitons in fiber lasers
A systematic review compiling theory from the complex Ginzburg-Landau equation and experiments on bound states of two or more dissipative solitons in fiber lasers, covering temporal, frequency, scalar, vector, multi-soliton, and spatiotemporal modes.