First silicon 64×100 GHz WDM filter realized via ring-MZI cascade achieving 3.2±1.1 dB insertion loss and ≥10.7 dB isolation.
Over-the-fiber Digital Predistortion Using Reinforcement Learning,
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
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.
Reinforcement learning agent optimizes DA-RoF transmitter parameters to achieve up to 2.7 dB SNR gains for high-order QAM modulations.
citing papers explorer
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Silicon Ring Based 64$\times$100 GHz Wavelength Division Multiplexing filter
First silicon 64×100 GHz WDM filter realized via ring-MZI cascade achieving 3.2±1.1 dB insertion loss and ≥10.7 dB isolation.
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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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Reinforcement Learning-Enabled Agent for Transmitter Optimization in Digital-Analog Radio-over-Fiber Fronthaul
Reinforcement learning agent optimizes DA-RoF transmitter parameters to achieve up to 2.7 dB SNR gains for high-order QAM modulations.