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Optimizing Quantum-dot Cellular Automata Circuits for Nano communication: A Reversible Hamming Code Implementation
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Authors: Bahijja Yahaya Galadima, Shaawanatu Aminu, Maryam Ibrahim
Year
2026
Paper ID
71408
Status
Peer-reviewed
Abstract Read
~2 min
Abstract Words
210
Citations
N/A
Abstract
Quantum-dot cellular automata (QCA) is a transistor-free computing paradigm that allows the realisation of quicker, denser, and more energy-efficient nanoscale circuits. When compared to traditional complementary metal-oxide-semiconductor (CMOS) circuits. Its tiny size along with low power dissipation are some of its advantages in reversible logic. A major concern is the high cell count required for the implementation of these circuits, which hinders energy and area optimisation. This study suggests a concept of a 58-cell low-power HCG circuit that uses a reversible Feynman gate to process three-bit data. Using six-bit message signals, an error detector parity bit (EDP) circuit for Hamming code was implemented using 88 cells. To make sure the circuit functions correctly, Quantum Dot Cellular Automata Designer simulator version 2.0.3 is used to verify the proposed circuits, and QCA Designer-E is utilised to analyse the circuits' energy dissipation. According to the simulation results, the suggested HCG circuits require 50% less area and 20.5% fewer cells. The EDP circuit further enhances the area occupied by 20.7% and the number of cells by 50%. The outcome also demonstrates that the suggested circuit's energy dissipation rises with the number of cells. As a result of this, the suggested reversible QCA design shows enhanced performance and emphasises the applicability of QCA for upcoming high-density and energy-efficient nanoscale communication systems.
Why This Paper Matters
- This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Quantum-dot cellular automata (QCA) is a transistor-free computing paradigm that allows the realisation of quicker, denser, and more energy-efficient nanoscale circuits.
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