On Quantum Algorithm for Binary Search and Its Computational Complexity

TL;DR

This paper introduces a quantum algorithm for binary search that operates in polynomial time for problems with 2^n objects, highlighting its potential for efficient search in large datasets.

Contribution

The paper presents a novel quantum algorithm for search problems that significantly improves computational complexity over classical methods.

Findings

Quantum search algorithm runs in polynomial time for 2^n objects

Demonstrates potential for efficient large-scale search

Provides analysis of computational complexity

Abstract

A new quantum algorithm for a search problem and its computational complexity are discussed. It is shown in the search problem containing 2^n objects that our algorithm runs in polynomial time.