Harmoniq approximates a quantum-harmonic-analysis data augmentation operator as a mixture of at most quadratic-depth n-qubit circuits, enabling modular combination with other quantum subroutines for signal denoising.
Quan- tum convolutional neural networks,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
HQ-UNet places a shallow quantum circuit at the U-Net bottleneck and reports 0.805 mean IoU and 94.76% accuracy on LandCover.ai, beating the classical baseline.
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Harmoniq: Efficient Data Augmentation on a Quantum Computer Inspired by Harmonic Analysis
Harmoniq approximates a quantum-harmonic-analysis data augmentation operator as a mixture of at most quadratic-depth n-qubit circuits, enabling modular combination with other quantum subroutines for signal denoising.
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HQ-UNet: A Hybrid Quantum-Classical U-Net with a Quantum Bottleneck for Remote Sensing Image Segmentation
HQ-UNet places a shallow quantum circuit at the U-Net bottleneck and reports 0.805 mean IoU and 94.76% accuracy on LandCover.ai, beating the classical baseline.