A two-level decomposition of images and circuits lets Quantum Hadamard Edge Detection run with 62% lower depth, 93% fewer CNOTs, and 95.6% simulated fidelity, demonstrated on real MRI data.
A flexible representation of quantum images for polynomial preparation, image compression, and processing operations,
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Towards a Utility-Scale Quantum Edge Detection for Real-World Medical Image Data
A two-level decomposition of images and circuits lets Quantum Hadamard Edge Detection run with 62% lower depth, 93% fewer CNOTs, and 95.6% simulated fidelity, demonstrated on real MRI data.