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Hatam Abdoli

Hatam Abdoli

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId: 35178909100
HIndex:
Faculty: Faculty of Engineering
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Research

Title
Optimized Design of Lower Complexity Reversible Toffoli Gate in QCA Technology
Type
Presentation
Keywords
QCA, Reversible Gate, Quantum, Logic gates
Year
2024
Researchers Saeid Seyedi ، Hatam Abdoli

Abstract

Every time an advancing technology gets close to reaching a dead end, a new technological revolution is required. CMOS technology serves as the foundation for current VLSI technology. Modern technology built on quantum dot cellular automata (QCA) has been established in response to new problems in the field. The field of QCA is fascinating in nanocomputing technology as it offers a different way to overcome the physical constraints CMOS systems encounter as they continue to reduce in size. QCA provides significant advantages at the nanoscale, including increased packing density, reduced area, much lower power consumption, and faster working speed. Since current logic gates aren't reversible by nature, and so dissipate energy, they aren't energy-efficient or energy-saving. Consequently, much work is needed to produce an efficient model for designing circuits that retain information while dissipating no energy. Power-efficient circuits may be built with increased accuracy, increasing the circuit's lifespan and speed. This study explores using QCA as an implementation technique for building reversible logic gates that are both power and area-efficient, including QCA cells, which result in improved performance in the suggested design. With 14 cells and a 0.02 μm2 area, the proposed QCA reversible Toffoli gate architecture achieves a notable size decrease over earlier designs. Using a single-layer design methodology, the circuit is designed to maximize efficiency and minimize cell usage. The proposed reversible Toffoli gate has been shown to have improved functionality and efficiency based on simulation findings using the QCA Designer simulator version 2.0.3. It is therefore a smart choice for anyone interested in studying nanoscale integrated circuit applications.