Design of low power 5-input majority voter in quantum-dot cellular automata with effective error resilience

2016 ◽  
Author(s):  
Mrinal Goswami ◽  
Bibhash Sen ◽  
Biplab K. Sikdar
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Low Power ◽  
Error Resilience ◽  
Quantum Dot Cellular Automata ◽  
Majority Voter

scholarly journals Approximate Adder Implementation using Quantum- Dot Cellular Automata for Digital Signal Processing

2019 ◽  
Vol 9 (2) ◽  
pp. 3743-3748
Keyword(s):  
Signal Processing ◽  
Cellular Automata ◽  
Quantum Dot ◽  
Digital Signal ◽  
Error Resilience ◽  
Digital Signal Processors ◽  
Approximate Computing ◽  
Quantum Dot Cellular Automata ◽  
Area Efficiency ◽  
Signal Processors

We explore quantum-dot cellular automata (QCA) design for approximate computing units in digital signal processors. For this cause, a common approach for design is introduced, and approximation-oriented mirror adders (AMA) are developed. In this work, we compromise power/area efficiency of circuit-level design with accuracy supervision. We compare Approximate Mirror Adder cells designed using conventional CMOS technique and using QCA. Our technique picks fairly accurate adder designs that minimalize the over-all area, hitherto maintaining the ultimate performance by studying their error resilience.

scholarly journals Low power design methodology in quantum-dot cellular automata

2022 ◽  
Vol 97 ◽  
pp. 107638
Author(s):  
Arindam Sadhu ◽  
Kunal Das ◽  
Debashis De ◽  
Maitreyi Ray Kanjilal
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Low Power ◽  
Design Methodology ◽  
Low Power Design ◽  
Quantum Dot Cellular Automata

scholarly journals An Efficient Design of DCT Approximation Based on Quantum Dot Cellular Automata (QCA) Technology

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Ismail Gassoumi ◽  
Lamjed Touil ◽  
Bouraoui Ouni ◽  
Abdellatif Mtibaa
Keyword(s):  
Image Processing ◽  
Cellular Automata ◽  
Quantum Dot ◽  
Low Power ◽  
Video Compression ◽  
Video Processing ◽  
Power Dissipation ◽  
Functional Verification ◽  
Efficient Design ◽  
Quantum Dot Cellular Automata

Optimization for power is one of the most important design objectives in modern digital image processing applications. The DCT is considered to be one of the most essential techniques in image and video compression systems, and consequently a number of extensive works had been carried out by researchers on the power optimization. On the other hand, quantum-dot cellular automata (QCA) can present a novel opportunity for the design of highly parallel architectures and algorithms for improving the performance of image and video processing systems. Furthermore, it has considerable advantages in comparison with CMOS technology, such as extremely low power dissipation, high operating frequency, and a small size. Therefore, in this study, the authors propose a multiplier-less DCT architecture in QCA technology. The proposed design provides high circuit performance, very low power consumption, and very low dimension outperform to the existing conventional structures. The QCADesigner tool has been utilized for QCA circuit design and functional verification of all designs in this work. QCAPro, a very widespread power estimator tool, is applied to estimate the power dissipation of the proposed circuit. The suggested design has 53% improvement in terms of power over the conventional solution. The outcome of this work can clearly open up a new window of opportunity for low power image processing systems.

scholarly journals Editorial for the Special Issue on “Quantum-Dot Cellular Automata (QCA) and Low Power Application”

2018 ◽  
Vol 8 (4) ◽  
pp. 40
Author(s):  
Stefania Perri
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Power Consumption ◽  
Low Power ◽  
Special Issue ◽  
Innovative Technologies ◽  
Quantum Dot Cellular Automata ◽  
Power Application

Challenges created by the trend of increasingly reducing the size of transistors have made necessary innovative technologies to limit undesirable impacts on the performance speed and power consumption of future designs. [...]

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