journal article·2025-03-01Open access

A nano-design of a quantum-based arithmetic and logic unit for enhancing the efficiency of the future IoT applications

Seyed Sajad Ahmadpour, Maryam Zaker, Nima Jafari Navimipour, Neeraj Kumar Misra, Muhammad Zohaib, Sankit Kassa, Arash Heidari, Ahmad Habibizad Navin, Mehdi Hosseinzadeh, Musawer Hakimi

AIP Advances· Volume 15· Issue 3

Abstract

The Internet of Things (IoT) is an infrastructure of interconnected devices that gather, monitor, analyze, and distribute data. IoT is an inevitable technology for smart city infrastructure to ensure seamless communication across multiple nodes. IoT, with its ubiquitous application in every sector, ranging from health-care to transportation, energy, education, and agriculture, comes with serious challenges as well. Among the most significant ones is security since the majority of IoT devices do not encrypt normal data transmissions, making it easier for the network to breach and leak data. Traditional technologies such as CMOS and VLSI have the added disadvantage of consuming high energy, further creating avenues for security threats for IoT systems. To counter such problems, we require a new solution to replace traditional technologies with a secure IoT. In contrast to traditional solutions, quantum-based approaches offer promising solutions by significantly reducing the energy footprint of IoT systems. Quantum-dot Cellular Automata (QCA) is one such approach and is an advanced nano-technology that exploits quantum principles to achieve complex computations with the advantages of high speed, less occupied area, and low power consumption. By reducing the energy requirements to a minimum, QCA technology makes IoT devices secure. This paper presents a QCA-based Arithmetic Logic Unit (ALU) as a solution to IoT security problems. The proposed ALU includes more than 12 logical and arithmetic operations and is designed using majority gates, XOR gates, multiplexers, and full adders. The proposed architecture, simulated in QCADesigner 2.0.3, achieves an improvement of 60.45% and 66.66% in cell count and total occupied area, respectively, compared to the best of the existing designs, proving to be effective and efficient.
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Research context

OpenAlex topics: Quantum-Dot Cellular Automata · Advanced Memory and Neural Computing · Quantum Computing Algorithms and Architecture

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Kadir Has University 1 , Istanbul,

Future Technology Research Center, National Yunlin University of Science and Technology 2 , Douliou, Yunlin 64002,

School of Electronics Engineering, VIT-AP University 3 , Amaravathi 522237, Andhra Pradesh,

Department of Electrical and Electronics Engineering, Kadir Has University 4 , Istanbul 34083,

E&TC Department, Symbiosis Institute of Technology, Symbiosis International (Deemed University) 5 , Pune, Maharashtra,

Department of Computer Engineering, Faculty of Engineering and Natural Science, İstanbul Atlas University 6 , Istanbul,

7 Computer Science and Engineering Department, Qatar University, Doha, Qatar

Department of Computer Engineering, Tabriz Branch, Islamic Azad University 8 , Tabriz 5157944533,

9 Pattern Recognition and Machine Learning Laboratory, School of Computing, Gachon University, Seongnam, Republic of Korea

Computer Science Department, Samangan University 10 , Samangan,

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