Depth-First Grover Search Algorithm on Hybrid Quantum-Classical Computer
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Abstract (arXiv)
We demonstrated the detailed construction of the hybrid quantum-classical computer. Based on this architecture, the useful concept of amplitude interception is illustrated. It is then embedded into a combination of Depth-First Search and Grover's algorithm to generate a novel approach, the Depth-First Grover Search(DFGS), to handle multi-solution searching problems on unstructured databases with an unknown number of solutions. Our new algorithm attains an average complexity of O(m√N) which performs as efficient as a normal Grover Search, and a O(√pN) complexity with a manually determined constant p for the case with all elements are solutions, where a normal Grover Search will degenerate to O(N√N). The DFGS algorithm is more robust and stable in comparison.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 10 Oct 2022.
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