利用新型增强量子表示和Qiskit框架将量子投票方案集成到灰度图像

IF 0.8 Q3 ENGINEERING, MULTIDISCIPLINARY Modelling and Simulation in Engineering Pub Date : 2022-04-19 DOI:10.1155/2022/8128754
A. Tudorache, V. Manta, S. Caraiman
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引用次数: 3

摘要

本文阐述了如何通过修改多个灰度图像中的少量像素,将拟议的量子投票方案与称为最低有效位(LSB)的隐写技术相结合来设计。它将投票方案与图像的新型增强量子表示(NEQR)相结合,其中这些像素的lbs代表参与投票过程的每个实体的投票。服务器不仅用于计数,还用于保证投票的完整性(这是由其设计和量子特性固有的)。超密集编码电路是设计的一部分,允许每个选民使用一个量子比特来传输两个经典比特(投票值)。测试该方案的选择平台是IBM Quantum Experience,以及名为Qiskit(用Python编写)的开源框架。这个框架允许用户创建各种量子电路,使用广泛的量子门选择,然后在模拟器或真实的量子设备上进行模拟。本文还介绍了量子电路及其测量结果。
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Integration of a Quantum Voting Scheme into Grayscale Images Using the Novel Enhanced Quantum Representation and Qiskit Framework
This paper illustrates the way a proposed quantum voting scheme can be designed in combination with a steganography technique called Least Significant Bit (LSB), by modifying a small number of pixels in multiple grayscale images. It combines the voting scheme with the novel enhanced quantum representation (NEQR) of an image, where the LSBs of these pixels represent the vote for each entity that takes part in the voting process. A server is also used, not only to count but also to guarantee the integrity of the votes (which is done inherently, by its design and quantum properties). The superdense coding circuit is part of the design, allowing each voter to use one qubit in order to transmit two classical bits (the vote value). The selected platform for testing this scheme is IBM Quantum Experience, together with the open-source framework called Qiskit (written in Python). This framework allows users to create various quantum circuits, using a wide selection of quantum gates, and then to simulate them, either on a simulator or on a real quantum device. The quantum circuits and the measurement results are also presented in this paper.
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来源期刊
Modelling and Simulation in Engineering
Modelling and Simulation in Engineering ENGINEERING, MULTIDISCIPLINARY-
CiteScore
2.70
自引率
3.10%
发文量
42
审稿时长
18 weeks
期刊介绍: Modelling and Simulation in Engineering aims at providing a forum for the discussion of formalisms, methodologies and simulation tools that are intended to support the new, broader interpretation of Engineering. Competitive pressures of Global Economy have had a profound effect on the manufacturing in Europe, Japan and the USA with much of the production being outsourced. In this context the traditional interpretation of engineering profession linked to the actual manufacturing needs to be broadened to include the integration of outsourced components and the consideration of logistic, economical and human factors in the design of engineering products and services.
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