Cell Optimization and Realization of MGDI and QCA based Combinational Logic Circuits for Nanotechnology Applications

Tripathi, Divya; Sana, Sana; Wairya, Subodh

doi:10.1109/indicon49873.2020.9342097

Cited by 8 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…TABLE 1 Various logic functions for different input combinations of GDI cell (Abiri et al, 2019). In Tripathi et al (2020), following the approach in Gupta and Wairya (2016), the design of basic circuits, adders, and comparators in QCA technology is discussed. An XOR gate with 11 cells, a 2-phase delay, an area of 0.012 μm 2 , and a MUX gate with 19 cells and an area of 0.02 μm 2 are designed.…”

Section: Figurementioning

confidence: 99%

Design and simulation of a new QCA-based low-power universal gate

Sadrarhami,

Zanjani,

Dolatshahi

et al. 2024

Front. Comput. Sci.

View full text Add to dashboard Cite

Quantum-dot Cellular Automata (QCA) is recognized in electronics for its low power consumption and high-density capabilities, emerging as a potential substitute for CMOS technology. GDI (Gate Diffusion Input) technology is featured as an innovative approach for enhancing power efficiency and spatial optimization in digital circuits. This study introduces an advanced four-input Improved Gate Diffusion Input (IGDI) design specifically for QCA technology as a universal gate. A key feature of the proposed 10-cell block is the absence of cross-wiring, which significantly enhances the circuit’s operational efficiency. Its universal cell nature allows for the carrying out of various logical gates by merely altering input values, without necessitating any structural redesign. The proposed design showcases notable advancements over prior models, including a reduced cell count by 17%, a 29% decrease in total energy usage, and a 44% reduction in average energy loss. This innovative IGDI design efficiently executes 21 combinational and various sequential functions. Simulations in 18 nm technology, accompanied by energy consumption analyses, demonstrate this design’s superior performance compared to existing models in key areas such as multiplexers, comparators, and memory circuits, alongside a significant reduction in cell count.

show abstract

Section: Figurementioning

confidence: 99%

Design and simulation of a new QCA-based low-power universal gate

Sadrarhami,

Zanjani,

Dolatshahi

et al. 2024

Front. Comput. Sci.

View full text Add to dashboard Cite

show abstract

“…In [23], according to the suggested approach in [24], the design of several basic circuits, adders, and comparators has been implemented in QCA technology. In this reference, an XOR gate with 11 cells in two clock phases and an area of 0.012 um2 and a MUX gate with 19 cells and an area of 0.02 um2 are designed.…”

Section: If 𝐸 𝑎𝑏mentioning

confidence: 99%

Innovation of a Novel Low-Power Modified-GDI QCA-Based Logic Circuit

Sadrarhami,

Zanjani,

Dolatshahi

et al. 2023

Preprint

View full text Add to dashboard Cite

This paper presents a Modified Gate Diffusion Input (MGDI) design with four inputs for Quantum-dot Cellular Automata (QCA) technology. QCA is a promising nanotechnology that offers benefits such as low power consumption, and high density, making it a potential alternative to CMOS technology. The proposed planar cell design has advantages over previous designs, including a 19% reduction in the number of cells, a 29% reduction in total energy consumption, and a 44% reduction in average energy loss at the same occupancy level. The proposed block is capable of implementing 21 basic combinational functions and various sequential functions. The simulation of functions in 18nm technology and energy consumption calculation indicates that the resulting circuits have improvements of 41%, 27%, 27%, and 20% compared to multiplexers, comparators, four-bit parity circuits, and single-bit memory, respectively. Additionally, the number of cells in the proposed circuits has improved by 10%, 7%, 22%, and 19%, respectively.

show abstract

A Cost-Efficient QCA RAM Cell for Nanotechnology Applications

Tripathi

Wairya

2022

Lecture Notes in Electrical Engineering

View full text Add to dashboard Cite

Cell Optimization and Realization of MGDI and QCA based Combinational Logic Circuits for Nanotechnology Applications

Cited by 8 publications

References 19 publications

Design and simulation of a new QCA-based low-power universal gate

Design and simulation of a new QCA-based low-power universal gate

Innovation of a Novel Low-Power Modified-GDI QCA-Based Logic Circuit

A Cost-Efficient QCA RAM Cell for Nanotechnology Applications

Contact Info

Product

Resources

About