A quantum edge detection algorithm based on the sequency-ordered Walsh-Hadamard transform and a quantum high-pass filter achieves O(log N) circuit depth when state preparation is excluded.
A quantum algorithm for counting zero-crossings
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abstract
We present a zero-crossings counting problem that is a generalization of the Bernstein-Vazirani problem. The goal of this problem is to count the number of zero-crossings (or sign changes) in a special type of sequence S, whose definition depends upon a secret string. A quantum algorithm is presented to solve this problem. The proposed quantum algorithm requires only one oracle query to solve the problem, whereas a classical algorithm would need at least n oracle queries, where $2^n$ is the size of the sequence S. In addition to solving the zero-crossings counting problem, we also give a quantum circuit for performing the Walsh-Hadamard transforms in sequency ordering. The Walsh-Hadamard transform in sequency ordering is used in a wide range of scientific and engineering applications, including in digital signal and image processing. Therefore, the proposed quantum circuit for computing the Walsh-Hadamard transforms in sequency ordering may be helpful in quantum computing algorithms for applications for which the computation of the Walsh-Hadamard transform in sequency ordering is required.
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Quantum algorithm for edge detection in digital grayscale images
A quantum edge detection algorithm based on the sequency-ordered Walsh-Hadamard transform and a quantum high-pass filter achieves O(log N) circuit depth when state preparation is excluded.