Quantum Brain
← Back to papers

Quantum Algorithm for Lexicographically Minimal String Rotation

Qisheng Wang, M. Ying·December 17, 2020·DOI: 10.1007/s00224-023-10146-8
Computer ScienceMathematicsPhysics

AI Breakdown

Get a structured breakdown of this paper — what it's about, the core idea, and key takeaways for the field.

Abstract

Lexicographically minimal string rotation (LMSR) is a problem to find the minimal one among all rotations of a string in the lexicographical order, which is widely used in equality checking of graphs, polygons, automata and chemical structures. In this paper, we propose an $$O(n^{3/4})$$ O ( n 3 / 4 ) quantum query algorithm for LMSR. In particular, the algorithm has average-case query complexity $$O(\sqrt{n} \log n)$$ O ( n log n ) , which is shown to be asymptotically optimal up to a polylogarithmic factor, compared to its $$\Omega \left( \sqrt{n/\log n}\right) $$ Ω n / log n lower bound. Furthermore, we show that our quantum algorithm outperforms any (classical) randomized algorithms in both worst and average cases. As an application, it is used in benzenoid identification and disjoint-cycle automata minimization.

Related Research

Quantum Intelligence

Ask about quantum research, companies, or market developments.