{"title":"Optimized oracle and diffusion operator implementations for enhanced quantum search performance","authors":"Tarun Kumar , Dilip Kumar , Gurmohan Singh","doi":"10.1016/j.cjph.2025.07.014","DOIUrl":null,"url":null,"abstract":"<div><div>Searching for an item in an unstructured database with Grover's search algorithm (<em>GSA</em>) guarantees a quadratic improvement in speed compared to classical approaches. One of the challenges in implementing <em>GSA</em> is the need for a large number of gates, which can be resource-intensive and error-prone. This paper presents a novel optimization of <em>GSA</em> that minimizes the complexity by reducing the gate count and circuit depth of the oracle and diffusion operator. A 47 % and 49 % reduction in gate count and circuit depth is observed for the 3-, 4-, and 5-qubit implementations of the optimized <em>GSA</em> against the standard version. Furthermore, the optimized <em>GSA</em> is utilized to perform a search in a quantum database for the index of <span><math><mrow><mo>|</mo><mn>111</mn><mo>〉</mo></mrow></math></span>. The results also indicate a significant improvement in the accuracy and execution time for the 3-, 4-, and 5-qubit implementations, and for searching a quantum database with the optimized <em>GSA</em> against the standard <em>GSA</em>.</div></div>","PeriodicalId":10340,"journal":{"name":"Chinese Journal of Physics","volume":"97 ","pages":"Pages 920-932"},"PeriodicalIF":4.6000,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Journal of Physics","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0577907325002813","RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Searching for an item in an unstructured database with Grover's search algorithm (GSA) guarantees a quadratic improvement in speed compared to classical approaches. One of the challenges in implementing GSA is the need for a large number of gates, which can be resource-intensive and error-prone. This paper presents a novel optimization of GSA that minimizes the complexity by reducing the gate count and circuit depth of the oracle and diffusion operator. A 47 % and 49 % reduction in gate count and circuit depth is observed for the 3-, 4-, and 5-qubit implementations of the optimized GSA against the standard version. Furthermore, the optimized GSA is utilized to perform a search in a quantum database for the index of . The results also indicate a significant improvement in the accuracy and execution time for the 3-, 4-, and 5-qubit implementations, and for searching a quantum database with the optimized GSA against the standard GSA.
期刊介绍:
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