Two configurable quantum algorithms (DG-CSWAP and DG-DST) for histopathologic cancer detection are shown to be algebraically equivalent, executed on real NISQ hardware with mitigation, and achieve 79.8% accuracy versus a classical baseline.
Quantum image processing and its application to edge detection: Theory and experiment,
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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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Configurable Algorithms for Histopathologic Cancer Detection on Quantum Hardware
Two configurable quantum algorithms (DG-CSWAP and DG-DST) for histopathologic cancer detection are shown to be algebraically equivalent, executed on real NISQ hardware with mitigation, and achieve 79.8% accuracy versus a classical baseline.
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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.