Grover Search and its Applications

Jed Brody, Grant-Christopher Worthington Sykes

Indranil Chakrabarty, Shahzor Khan, Vanshdeep Singh

Shigeru Yamashita, Masaki Nakanishi

Ela Demirci, Emre Atlıer Olca

This study investigates the applications and adaptations of the Grover's search algorithm, an algorithm that uses quantum technologies to provide quadratic speedup while searching unsorted data. Through extensive literature review, the applications of Grover's algorithm such as database search, machine learning, cryptography, and optimization is explored in order to further understand areas open to alteration in the algorithm. Visuals are provided with the aim of enhancing the comprehension of Grover's algorithm. This study underscores how various components of Grover's search-like the oracle, diffusion operator, and iteration count-can be modified to solve complex problems more efficiently than classical search algorithms. A table generalizing aspects of modification and each of their benefits is given as an output. The growing importance of quantum technologies and the United Nations' selection of 2025 as the International Year of Quantum Science and Technology makes this research timely.

Wen Shao

An introduction about the basis and fulfilment of quantum Grover algorithm is provided,as well as its application in exhaustive searching.The superiority of quantum algorithms over classical ones can be seen therefrom.

Mika Hirvensalo