A Nano-Scale Design of Arithmetic and Logic Unit for Energy-Efficient Signal Processing Devices Based on a Quantum-Based Technology

dc.authorscopusid 59708012900
dc.authorscopusid 59125628000
dc.authorscopusid 56373635300
dc.authorscopusid 57202686649
dc.contributor.author Jafari Navimipour, Nima
dc.contributor.author Aydemir, Mehmet Timur
dc.contributor.author Aydemir, M.T.
dc.contributor.author Ahmadpour, S.-S.
dc.contributor.other Computer Engineering
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2025-05-15T18:41:14Z
dc.date.available 2025-05-15T18:41:14Z
dc.date.issued 2025
dc.department Kadir Has University en_US
dc.department-temp [Zohaib M.] Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, 34083, Turkey; [Navimipour N.J.] Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, Turkey; [Aydemir M.T.] Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, 34083, Turkey; [Ahmadpour S.-S.] Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Kadir Has University, Istanbul, Turkey en_US
dc.description.abstract Signal processing had a significant impact on the development of many elements of modern life, including telecommunications, education, healthcare, industry, and security. The semiconductor industry is the primary driver of signal processing innovation, producing ever-more sophisticated electronic devices and circuits in response to global demand. In addition, the central processing unit (CPU) is described as the “brain” of a computer or all electronic devices and signal processing. CPU is a critical electronic device that includes vital components such as memory, multiplier, adder, etc. Also, one of the essential components of the CPU is the arithmetic and logic unit (ALU), which executes the arithmetic and logical operations within all types of CPU operations, such as addition, multiplication, and subtraction. However, delay, occupied areas, and energy consumption are essential parameters in ALU circuits. Since the recent ALU designs experienced problems like high delay, high occupied area, and high energy consumption, implementing electronic circuits based on new technology can significantly boost the performance of entire signal processing devices, including microcontrollers, microprocessors, and printed devices, with high-speed and low occupied space. Quantum dot cellular automata (QCA) is an effective technology for implementing all electronic circuits and signal processing applications to solve these shortcomings. It is a transistor-less nanotechnology being explored as a successor to established technologies like CMOS and VLSI due to its ultra-low power dissipation, high device density, fast operating speed in THz, and reduced circuit complexity. This research proposes a ground-breaking ALU that upgrades electrical devices such as microcontrollers by applying cutting-edge QCA nanotechnology. The primary goal is to offer a novel ALU architecture that fully utilizes the potential of QCA nanotechnology. Using a new and efficient approach, the fundamental gates are skillfully utilized with a coplanar layout based on a single cell not rotated. Furthermore, this work presents an enhanced 1-bit and 2-bit arithmetic logic unit in quantum dot cellular automata. The recommended design includes logic, arithmetic operations, full adder (FA) design, and multiplexers. Using the powerful simulation tools QCADesigner, all proposed designs are evaluated and verified. The simulation outcomes indicates that the suggested ALU has 42.48 and 64.28% improvements concerning cell count and total occupied area in comparison to the best earlier single-layer and multi-layer designs. © The Author(s) 2025. en_US
dc.description.sponsorship Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK en_US
dc.identifier.doi 10.1007/s10586-024-05073-3
dc.identifier.issn 1386-7857
dc.identifier.issue 5 en_US
dc.identifier.scopus 2-s2.0-105003802659
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.1007/s10586-024-05073-3
dc.identifier.uri https://hdl.handle.net/20.500.12469/7350
dc.identifier.volume 28 en_US
dc.identifier.wosquality Q1
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Cluster Computing en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 0
dc.subject Arithmetic And Logic Unit (Alu) en_US
dc.subject Electronic Devices en_US
dc.subject Quantum Computing en_US
dc.subject Quantum Dot Cellular Automata (Qca) en_US
dc.subject Signal Processing en_US
dc.title A Nano-Scale Design of Arithmetic and Logic Unit for Energy-Efficient Signal Processing Devices Based on a Quantum-Based Technology en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication 0fb3c7a0-c005-4e5f-a9ae-bb163df2df8e
relation.isAuthorOfPublication 3970d2e9-726a-42ce-96b5-7040860161dc
relation.isAuthorOfPublication.latestForDiscovery 0fb3c7a0-c005-4e5f-a9ae-bb163df2df8e
relation.isOrgUnitOfPublication fd8e65fe-c3b3-4435-9682-6cccb638779c
relation.isOrgUnitOfPublication 12b0068e-33e6-48db-b92a-a213070c3a8d
relation.isOrgUnitOfPublication.latestForDiscovery fd8e65fe-c3b3-4435-9682-6cccb638779c

Files