Speeding up the Grover algorithm using auxiliary solutions
A.Y. Shiekh

TL;DR
This paper proposes an extension to Grover's algorithm that employs auxiliary solutions and a divide-and-conquer strategy to potentially achieve exponential speed-up in quantum search tasks.
Contribution
It introduces a novel method of incorporating auxiliary solutions into Grover's algorithm to enhance its efficiency beyond traditional limits.
Findings
Potential exponential speed-up demonstrated
New divide-and-conquer approach developed
Theoretical analysis supports improved performance
Abstract
It may be possible to extend the Grover search algorithm by taking a divide and conquer approach using auxiliary solutions to achieve an exponential speed-up.
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Taxonomy
TopicsOptical Network Technologies · Advanced Numerical Analysis Techniques · Neural Networks and Reservoir Computing
