A Quantum Algorithm for the Classification of Patterns of Boolean Functions

This paper introduces a novel quantum algorithm that is able to classify a hierarchy of classes of imbalanced Boolean functions. The fundamental characteristic of imbalanced Boolean functions is that the proportion of elements in their domain that take the value 0 is not equal to the proportion of e...

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Main Authors: Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/13/11/1750
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author Theodore Andronikos
Constantinos Bitsakos
Konstantinos Nikas
Georgios I. Goumas
Nectarios Koziris
author_facet Theodore Andronikos
Constantinos Bitsakos
Konstantinos Nikas
Georgios I. Goumas
Nectarios Koziris
author_sort Theodore Andronikos
collection DOAJ
description This paper introduces a novel quantum algorithm that is able to classify a hierarchy of classes of imbalanced Boolean functions. The fundamental characteristic of imbalanced Boolean functions is that the proportion of elements in their domain that take the value 0 is not equal to the proportion of elements that take the value 1. For every positive integer, <i>n</i>, the hierarchy contains a class of <i>n</i>-ary Boolean functions defined according to their behavioral pattern. The common trait of all the functions belonging to the same class is that they possess the same imbalance ratio. Our algorithm achieves classification in a straightforward manner as the final measurement reveals the unknown function with a probability of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.0</mn></mrow></semantics></math></inline-formula>. Let us also note that the proposed algorithm is an optimal oracular algorithm because it can classify the aforementioned functions with just a single query to the oracle. At the same time, we explain in detail the methodology we followed to design this algorithm in the hope that it will prove general and fruitful, given that it can be easily modified and extended to address other classes of imbalanced Boolean functions that exhibit different behavioral patterns.
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spelling doaj-art-02dc81df9e3847e6b54e73b4c19e9ee42025-08-20T02:23:00ZengMDPI AGMathematics2227-73902025-05-011311175010.3390/math13111750A Quantum Algorithm for the Classification of Patterns of Boolean FunctionsTheodore Andronikos0Constantinos Bitsakos1Konstantinos Nikas2Georgios I. Goumas3Nectarios Koziris4Department of Informatics, Ionian University, 7 Tsirigoti Square, 49100 Corfu, GreeceComputing Systems Laboratory, National Technical University of Athens, Heroon Polytechniou 9, 15780 Zografou, GreeceComputing Systems Laboratory, National Technical University of Athens, Heroon Polytechniou 9, 15780 Zografou, GreeceComputing Systems Laboratory, National Technical University of Athens, Heroon Polytechniou 9, 15780 Zografou, GreeceComputing Systems Laboratory, National Technical University of Athens, Heroon Polytechniou 9, 15780 Zografou, GreeceThis paper introduces a novel quantum algorithm that is able to classify a hierarchy of classes of imbalanced Boolean functions. The fundamental characteristic of imbalanced Boolean functions is that the proportion of elements in their domain that take the value 0 is not equal to the proportion of elements that take the value 1. For every positive integer, <i>n</i>, the hierarchy contains a class of <i>n</i>-ary Boolean functions defined according to their behavioral pattern. The common trait of all the functions belonging to the same class is that they possess the same imbalance ratio. Our algorithm achieves classification in a straightforward manner as the final measurement reveals the unknown function with a probability of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1.0</mn></mrow></semantics></math></inline-formula>. Let us also note that the proposed algorithm is an optimal oracular algorithm because it can classify the aforementioned functions with just a single query to the oracle. At the same time, we explain in detail the methodology we followed to design this algorithm in the hope that it will prove general and fruitful, given that it can be easily modified and extended to address other classes of imbalanced Boolean functions that exhibit different behavioral patterns.https://www.mdpi.com/2227-7390/13/11/1750quantum algorithmBoolean functionpatternoraclethe Deutsch–Jozsa algorithmclassification
spellingShingle Theodore Andronikos
Constantinos Bitsakos
Konstantinos Nikas
Georgios I. Goumas
Nectarios Koziris
A Quantum Algorithm for the Classification of Patterns of Boolean Functions
Mathematics
quantum algorithm
Boolean function
pattern
oracle
the Deutsch–Jozsa algorithm
classification
title A Quantum Algorithm for the Classification of Patterns of Boolean Functions
title_full A Quantum Algorithm for the Classification of Patterns of Boolean Functions
title_fullStr A Quantum Algorithm for the Classification of Patterns of Boolean Functions
title_full_unstemmed A Quantum Algorithm for the Classification of Patterns of Boolean Functions
title_short A Quantum Algorithm for the Classification of Patterns of Boolean Functions
title_sort quantum algorithm for the classification of patterns of boolean functions
topic quantum algorithm
Boolean function
pattern
oracle
the Deutsch–Jozsa algorithm
classification
url https://www.mdpi.com/2227-7390/13/11/1750
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