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  • Open Access

    ARTICLE

    A Novel Framework to Construct S-Box Quantum Circuits Using System Modeling: Application to 4-Bit S-Boxes

    Yongjin Jeon, Seungjun Baek#, Jongsung Kim*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 545-561, 2024, DOI:10.32604/cmes.2024.052374 - 20 August 2024

    Abstract Quantum computers accelerate many algorithms based on the superposition principle of quantum mechanics. The Grover algorithm provides significant performance to malicious users attacking symmetric key systems. Since the performance of attacks using quantum computers depends on the efficiency of the quantum circuit of the encryption algorithms, research research on the implementation of quantum circuits is essential. This paper presents a new framework to construct quantum circuits of substitution boxes (S-boxes) using system modeling. We model the quantum circuits of S-boxes using two layers: Toffoli and linear layers. We generate vector spaces based on the values… More >

  • Open Access

    ARTICLE

    Diabetic Retinopathy Detection Using Classical-Quantum Transfer Learning Approach and Probability Model

    Amna Mir1, Umer Yasin1, Salman Naeem Khan1, Atifa Athar3,*, Riffat Jabeen2, Sehrish Aslam1

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3733-3746, 2022, DOI:10.32604/cmc.2022.022524 - 07 December 2021

    Abstract Diabetic Retinopathy (DR) is a common complication of diabetes mellitus that causes lesions on the retina that affect vision. Late detection of DR can lead to irreversible blindness. The manual diagnosis process of DR retina fundus images by ophthalmologists is time consuming and costly. While, Classical Transfer learning models are extensively used for computer aided detection of DR; however, their maintenance costs limits detection performance rate. Therefore, Quantum Transfer learning is a better option to address this problem in an optimized manner. The significance of Hybrid quantum transfer learning approach includes that it performs heuristically.… More >

  • Open Access

    ARTICLE

    A Quantum Algorithm for Evaluating the Hamming Distance

    Mohammed Zidan1,2,*, Manal G. Eldin3, Mahmoud Y. Shams4, Mohamed Tolan5,6, Ayman Abd-Elhamed2,7, Mahmoud Abdel-Aty8

    CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 1065-1078, 2022, DOI:10.32604/cmc.2022.020103 - 03 November 2021

    Abstract We present a novel quantum algorithm to evaluate the hamming distance between two unknown oracles via measuring the degree of entanglement between two ancillary qubits. In particular, we use the power of the entanglement degree based quantum computing model that preserves at most the locality of interactions within the quantum model structure. This model uses one of two techniques to retrieve the solution of a quantum computing problem at hand. In the first technique, the solution of the problem is obtained based on whether there is an entanglement between the two ancillary qubits or not.… More >

  • Open Access

    ARTICLE

    Translation of Quantum Circuits into Quantum Turing Machines for Deutsch and Deutsch-Jozsa Problems

    Giuseppe Corrente*

    Journal of Quantum Computing, Vol.2, No.3, pp. 137-145, 2020, DOI:10.32604/jqc.2020.014586 - 31 December 2020

    Abstract We want in this article to show the usefulness of Quantum Turing Machine (QTM) in a high-level didactic context as well as in theoretical studies. We use QTM to show its equivalence with quantum circuit model for Deutsch and Deutsch-Jozsa algorithms. Further we introduce a strategy of translation from Quantum Circuit to Quantum Turing models by these examples. Moreover we illustrate some features of Quantum Computing such as superposition from a QTM point of view and starting with few simple examples very known in Quantum Circuit form. More >

  • Open Access

    ARTICLE

    An Extended Approach for Generating Unitary Matrices for Quantum Circuits

    Zhiqiang Li1, *, Wei Zhang1, Gaoman Zhang1, Juan Dai1, Jiajia Hu1, Marek Perkowski2, Xiaoyu Song2

    CMC-Computers, Materials & Continua, Vol.62, No.3, pp. 1413-1421, 2020, DOI:10.32604/cmc.2020.07483

    Abstract In this paper, we do research on generating unitary matrices for quantum circuits automatically. We consider that quantum circuits are divided into six types, and the unitary operator expressions for each type are offered. Based on this, we propose an algorithm for computing the circuit unitary matrices in detail. Then, for quantum logic circuits composed of quantum logic gates, a faster method to compute unitary matrices of quantum circuits with truth table is introduced as a supplement. Finally, we apply the proposed algorithm to different reversible benchmark circuits based on NCT library (including NOT gate, More >

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