Q-PIPE is a quantum phase encoding for images that achieves O(qN) gate complexity, supports native finite-difference operations, and shows low error in edge-detection tests on benchmark data.
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2026 2verdicts
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Quantum circuits using FRQI and QPIE encodings implement Sobel edge and Harris corner detection, yielding outputs consistent with classical methods in noiseless simulations, with QPIE showing greater stability under limited shots.
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Q-PIPE A Practical Quantum Phase Encoding Method
Q-PIPE is a quantum phase encoding for images that achieves O(qN) gate complexity, supports native finite-difference operations, and shows low error in edge-detection tests on benchmark data.
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Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels
Quantum circuits using FRQI and QPIE encodings implement Sobel edge and Harris corner detection, yielding outputs consistent with classical methods in noiseless simulations, with QPIE showing greater stability under limited shots.