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An efficient quantum-classical hybrid algorithm for distorted alphanumeric character identification

Ankur PalAbhishek ShuklaAnirban Pathak
Dec 2022
摘要
An algorithm for image processing is proposed. The proposed algorithm, whichcan be viewed as a quantum-classical hybrid algorithm, can transform alow-resolution bitonal image of a character from the set of alphanumericcharacters (A-Z, 0-9) into a high-resolution image. The quantum part of theproposed algorithm fruitfully utilizes a variant of Grover's search algorithm,known as the fixed point search algorithm. Further, the quantum part of thealgorithm is simulated using CQASM and the advantage of the algorithm isestablished through the complexity analysis. Additional analysis has alsorevealed that this scheme for optical character recognition (OCR) leads to highconfidence value and generally works in a more efficient manner compared to theexisting classical, quantum, and hybrid algorithms for a similar task.
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