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Quantum Optimization Quantum Machine Learning

A Note on Quantum Divide and Conquer for Minimal String Rotation

arXiv
Authors: Qisheng Wang

Year

2022

Paper ID

58320

Status

Preprint

Abstract Read

~2 min

Abstract Words

87

Citations

N/A

Abstract

Lexicographically minimal string rotation is a fundamental problem in string processing that has recently garnered significant attention in quantum computing. Near-optimal quantum algorithms have been proposed for solving this problem, utilizing a divide-and-conquer structure. In this note, we show that its quantum query complexity is sqrt{n} cdot 2^{O\(sqrt{log n}\)}, improving the prior result of sqrt{n} cdot 2^{\(log n\)1/2+varepsilon} due to Akmal and Jin (SODA 2022). Notably, this improvement is quasi-polylogarithmic, which is achieved by only logarithmic level-wise optimization using fault-tolerant quantum minimum finding.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2022 reference point for readers tracking recent quantum research.
  • Lexicographically minimal string rotation is a fundamental problem in string processing that has recently garnered significant attention in quantum computing.

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