SPATE encodes data via spike trains mapped to quantum phases, yielding stronger feature representations than angle or amplitude encoding on datasets like Blobs and Moons.
The quest for a quantum neural network
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
QYOLO replaces deep YOLO backbone C2f modules with a shared sinusoidal quantum-inspired mixer, reducing parameters by 20% and GFLOPs by 12% with under 0.5 pp mAP drop on VisDrone2019.
citing papers explorer
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SPATE: Spiking-Phase Adaptive Temporal Encoding for Quantum Machine Learning
SPATE encodes data via spike trains mapped to quantum phases, yielding stronger feature representations than angle or amplitude encoding on datasets like Blobs and Moons.
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QYOLO: Lightweight Object Detection via Quantum Inspired Shared Channel Mixing
QYOLO replaces deep YOLO backbone C2f modules with a shared sinusoidal quantum-inspired mixer, reducing parameters by 20% and GFLOPs by 12% with under 0.5 pp mAP drop on VisDrone2019.