Design of RAM Structure using Quantum Dot Cellular Automata

The nanoscale transistor-less design of Quantum-dot Cellular Automata (QCA) technology has garnered significant attention due to its inherent advantages such as small size, rapid switching, and remarkably low energy consumption. Among its various applications in digital systems, the design and optimization of Random Access Memory (RAM) architectures stand out as particularly important. This work proposes a 1x4 RAM configuration suitable for constructing efficient single-layer QCA-based circuit. The RAM design comprises of a decoder and MUX-based nano-scale memory cell. Validation of circuit designs is conducted using QCA Designer, demonstrating the effectiveness of the proposed QCA-based RAM in terms of key performance parameters including cell count, area efficiency, latency and power dissipation. The cell count and area has decreased to 50% and 30% compared to the previous design.

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Publication Details

Published
2024-11-21
DOI
https://doi.org/10.1109/icefeet64463.2024.10866691
Citations
1
Primary Topic
Quantum-Dot Cellular Automata
Type
article
Field-Weighted Citation Impact
0.36
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Design of RAM Structure using Quantum Dot Cellular Automata

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article

Design of RAM Structure using Quantum Dot Cellular Automata

Goukanapalli Siddartha Reddy, S R Ramesh, Maddina Sai Roopesh, Vutukuru Sai Sasidhar, Yesuri Bharat
article en
1 citations

Abstract

The nanoscale transistor-less design of Quantum-dot Cellular Automata (QCA) technology has garnered significant attention due to its inherent advantages such as small size, rapid switching, and remarkably low energy consumption. Among its various applications in digital systems, the design and optimization of Random Access Memory (RAM) architectures stand out as particularly important. This work proposes a 1x4 RAM configuration suitable for constructing efficient single-layer QCA-based circuit. The RAM design comprises of a decoder and MUX-based nano-scale memory cell. Validation of circuit designs is conducted using QCA Designer, demonstrating the effectiveness of the proposed QCA-based RAM in terms of key performance parameters including cell count, area efficiency, latency and power dissipation. The cell count and area has decreased to 50% and 30% compared to the previous design.

Amrita Vishwa Vidyapeetham (IN)
Affordable and clean energy
Openalex Percentile: Top 32%
Quantum-Dot Cellular Automata
0.36
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