Low-Power Design Strategies for Coplanar Arithmetic Circuits in Quantum-Dot Cellular Automata

K. K. Ramachandran

Authors

K. K. Ramachandran DR. G R D College of Science, Coimbatore, Tamilnadu, India Author

Keywords:

Quantum-Dot Cellular Automata (QCA), Coplanar Circuits, Low-Power Design, Arithmetic Circuits, Power Efficiency, Circuit Layout Optimization, Performance Metrics, Simulation and Modeling, Quantum Computing, Semiconductor Technology

Abstract

potential advantages in power efficiency and circuit density over traditional semiconductor technologies. This paper investigates low-power design strategies for coplanar arithmetic circuits within the QCA framework, emphasizing both the benefits and challenges associated with this technology. We explore fundamental principles of QCA and coplanar circuit design, outlining effective techniques for reducing power consumption, such as optimizing cell design, minimizing switching activity, and employing efficient clocking strategies. Our analysis includes a detailed examination of implementation methodologies, including design, layout optimization, and fabrication considerations. Performance metrics, including power consumption, propagation delay, and throughput, are evaluated through simulation and modeling, with a comparative analysis against conventional CMOS circuits. The findings reveal that while QCA circuits offer substantial advantages in power efficiency and integration density, practical challenges remain in fabrication and performance optimization. Future research directions are proposed, focusing on advancements in QCA technology, integration with emerging technologies, and further refinement of low-power design techniques. This study provides valuable insights for advancing QCA technology and its applications in high-density and specialized computing, contributing to the development of more efficient and powerful computing systems.

References

Ladd, T. D., Pan, J.-W., & Thomsen, J. (2005). "Quantum computing with quantum-dot cellular automata." Nature, 434(7034), 55-58.

Rashid, K., & Agarwal, S. (2021). "Design and Analysis of Low-Power Quantum-Dot Cellular Automata Circuits." IEEE Transactions on Nanotechnology, 20(2), 135-143.

Anantharaj, T.V., Raj, M., & Lakshmi Narayanan, G. (2020). Reliable coplanar full adder in quantum-dot cellular automata using five-input majority logic. Journal of Nanophotonics, 14(2), 026017. https://doi.org/10.1117/1.JNP.14.026017.

Fiori, G., & Iannaccone, G. (2009). "Quantum-dot cellular automata: A review of recent developments and prospects." Journal of Computational Electronics, 8(2), 159-169.

Kumar, P., & Reddy, P. (2017). "Coplanar Quantum-Dot Cellular Automata Circuits: Design and Optimization." Journal of Nanoelectronics and Optoelectronics, 12(1), 25-32.

Anantharaj, T.V., Raj, M., & Gopalakrishnan, L. (2020). Energy-efficient coplanar adder and subtractor in QCA. In 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 539-544). IEEE. https://doi.org/10.1109/ICSSIT48917.2020.9214274.

Khan, F., & Sinha, A. (2018). "Low-Power Design Techniques for Quantum-Dot Cellular Automata." Microelectronics Journal, 76, 69-79.

Nori, F., & Liu, L. (2020). "Performance Evaluation of Coplanar QCA Circuits." IEEE Transactions on Circuits and Systems I: Regular Papers, 67(12), 4843-4853.

Anantharaj, T.V., Sekar, R., Raj, M., & Gopalakrishnan, L. (2022). Optimal test sequences for logic verification closure in state-dependent RTL digital designs. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE. DOI:10.1109/ICCCNT54827.2022.9984212.

Siddiqui, M. U., & Gupta, A. (2022). "Simulation and Modeling of Low-Power QCA Arithmetic Circuits." Nano Communication Networks, 29, 100369.

Sharma, A., & Joshi, R. (2023). "Optimizing Power Consumption in Quantum-Dot Cellular Automata." IEEE Access, 11, 10234-10248.

Tiwari, S., & Sharma, P. (2020). "Advanced Techniques for Low-Power QCA Circuit Design." International Journal of Circuit Theory and Applications, 48(6), 881-892.

Anantharaj, T.V., Raj, R., Gopalakrishnan, G., & Sekar, K.R. (2024). Optimal test scenarios based regression suite for functional verification closure of advanced digital designs. In 2024 International Conference on Smart Systems for Applications in Electrical Sciences (ICSSES) (pp. 1-6). IEEE.

Lee, H., & Kim, D. (2018). "A Comparative Study of QCA and CMOS Logic for Low-Power Computing." Journal of Computer Science and Technology, 33(4), 915-928.

Zhao, Y., & Wang, Z. (2019). "Design and Simulation of High-Efficiency Quantum-Dot Cellular Automata Circuits." IEEE Transactions on Electron Devices, 66(10), 4938-4945.

Anantharaj, T.V., Raj, M., & Gopalakrishnan, L. (2020). Functional verification closure using optimal test scenarios for digital designs. In 2020 Third International Conference on Smart Systems and Inventive Technology (ICSSIT) (pp. 535-538). IEEE. https://doi.org/10.1109/ICSSIT48917.2020.9214097.

Singh, R., & Patel, M. (2021). "Optimizing Performance and Power in QCA Circuits: Techniques and Applications." Microelectronics International, 38(1), 30-41.

Choi, S., & Lee, J. (2020). "Fabrication Challenges and Solutions for QCA-based Arithmetic Circuits." Journal of Nanoelectronics and Optoelectronics, 15(2), 140-150.

Wang, J., & Huang, Z. (2022). "Low-Power QCA Circuit Design: Methods and Innovations." Computers & Electrical Engineering, 92, 107228.

Anantharaj, T.V., Sekar, K.R., Raj, R., Venkitachalam, A., & Gopalakrishnan, G. (2022). Reliable quantum-dot cellular automata coplanar adder and subtractor for multi-bit designs. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-4). IEEE. https://doi.org/10.1109/ICCCNT54827.2022.9984221.

Gupta, R., & Singh, A. (2023). "Future Directions in Quantum-Dot Cellular Automata Technology." IEEE Transactions on Nanotechnology, 22(1), 56-67.