
A QUANTUM ALGORITHM BASED ON ENTANGLEMENT MEASURE FOR CLASSIFYING BOOLEAN MULTIVARIATE FUNCTION INTO NOVEL HIDDEN CLASSES REVISITED
Author(s) -
Mohammed Zidan,
Mahmoud AbdelAty
Publication year - 2021
Publication title -
azerbaijan journal of high performance computing
Language(s) - English
Resource type - Journals
eISSN - 2617-4383
pISSN - 2616-6127
DOI - 10.32010/26166127.2021.4.1.48.52
Subject(s) - quantum entanglement , degree (music) , measure (data warehouse) , oracle , boolean function , algorithm , quantum computer , function (biology) , quantum algorithm , concurrence , multivariate statistics , mathematics , computer science , theoretical computer science , discrete mathematics , quantum , quantum mechanics , data mining , machine learning , physics , software engineering , evolutionary biology , biology , acoustics
The algorithm that solves a generalized form of the Deutsch- Jozsa problem was proposed. This algorithm uses the degree of entanglement computing model to classify an arbitrary Oracle Uf to one of the 2n classes. In this paper, we will analyze this algorithm based on the degree of entanglement.