QCA-Based Secure RAM Cell Structure Using Logic Transformation and Cell Interaction with Signal Reliability and Energy Dissipation in Quantum Computing
Source abstract
Abstract
A RAM cell, one of the components that greatly affects the performance of quantum computing, outputs mostly stored values on quantum-dot cellular automata (QCA) as they are. Currently, a problem is that the stored value may be initialized according to the selection input. To solve this problem, circuits that separate the stored value from the output value have recently been designed, but most of them have long latency, large areas, and many plane structure intersections, resulting in unstable signals. Therefore, in this paper, we propose a new secure QRAM (QCA-based RAM) cell logic by analyzing and modifying the existing cell logic in nanotechnology. We initially propose 2-to-1 multiplexers based on cell interaction, and a QRAM cell is proposed based on our multiplexer and an optimized QRAM cell logic diagram. Compared with existing designs, the proposed circuits produce superior results in terms of circuit performance and energy dissipation. Additionally, the operation of our multiplexers is verified mathematically using physical proof. The secure QRAM cell proposed in this paper does not have the initialization problem based on the selection input that is present in some existing circuits, thus it is very easy to design an extension to N × N RAM, and it has high signal stability, reliability, connectivity, and scalability because there is no intersection.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Quantum-Dot Cellular Automata · Advanced Memory and Neural Computing · Quantum and electron transport phenomena
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer·AI Convergence Engineering, Kumoh National Institute of Technology, Gumi 39177, Republic of Korea
Department of Convergence Science, Kongju National University, Gongju 32588, Republic of Korea
References (47)
Show source-provided references
1. A novel low power exclusive-OR via cell level-based design function in quantum cellular automata10.1007/s10825-017-0986-7 ↗
2. The international technology roadmap for semiconductors—Perspectives and challenges for the next 15 years10.1016/S1359-0286(02)00116-X ↗
3. An optimized three-level design of decoder based on nanoscale quantum-dot cellular automata10.1007/s10773-018-3728-0 ↗
4. Kim, H.I., and Jeon, J.C. (2022). Quantum LFSR Structure for Random Number Generation Using QCA Multilayered Shift Register for Cryptographic Purposes. Sensors, 22.10.3390/s22093541 ↗
5. Design of generalized pipeline cellular array in quantum-dot cellular automata10.1109/LCA.2017.2719021 ↗
6. A new three-level fault tolerance arithmetic and logic unit based on quantum dot cellular automata10.1007/s00542-017-3502-x ↗
7. Lent, C.S., Tougaw, P.D., and Porod, W. (1994). Quantum cellular automata: The physics of computing with arrays of quantum dot molecules. Proc. Workshop Phys. Comput., 5–13.10.1109/PHYCMP.1994.363705 ↗
8. Logical devices implemented using quantum cellular automata10.1063/1.356375 ↗
9. Reversible logic-based concurrently testable latches for molecular QCA10.1109/TNANO.2009.2025038 ↗
10. Safoev, N., and Jeon, J.C. (2020). Design and Evaluation of Cell Interaction Based Vedic Multiplier Using Quantum-Dot Cellular Automata. Electronics, 9.10.3390/electronics9061036 ↗
11. Designing nanoscale counter using reversible gate based on quantum-dot cellular automata10.1007/s10773-017-3638-6 ↗
12. Designing nanotechnology QCA–multiplexer using majority function-based NAND for quantum computing10.1007/s11227-020-03341-8 ↗
13. Energy efficient neoteric design of a 3-input majority gate with its implementation and physical proof in quantum dot cellular automata10.1016/j.nancom.2018.02.001 ↗
14. A novel controllable inverter and adder/subtractor in quantum-dot cellular automata using cell interaction based XOR gate10.1016/j.mee.2019.111197 ↗
15. Carry save adder and carry look ahead adder using inverter chain based coplanar QCA full adder for low energy dissipation10.1016/j.mee.2019.03.015 ↗
16. A novel design of fault-tolerant RAM cell in quantum-dot cellular automata with physical verification10.1007/s11227-019-02812-x ↗
17. An energy-efficient RAM cell based on novel majority gate in QCA technology10.1007/s42452-019-1330-6 ↗
18. Energy Efficient Novel Design of Static Random Access Memory Cell in Quantum-dot Cellular Automata Approach
19. Raj, M., and Gopalakrishnan, L. (2019, January 12–14). High Speed Memory Cell with Data Integrity in QCA. Proceedings of the 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.10.1109/ICECA.2019.8821882 ↗
20. Sasamal, T.N., Singh, A.K., and Ghanekar, U. (2018). Design of QCA-Based D Flip Flop and Memory Cell Using Rotated Majority Gate. Smart Innov. Commun. Comput. Sci., 233–247.10.1007/978-981-10-8971-8_22 ↗
21. A new efficient design for random access memory based on quantum dot cellular automata nanotechnology10.1016/j.nancom.2019.100252 ↗
22. A Cost-Aware Efficient RAM Structure Based on Quantum-Dot Cellular Automata Nanotechnology10.1007/s10773-019-04261-x ↗
23. An energy and cost efficient majority-based RAM cell in quantum-dot cellular automata10.1016/j.rinp.2017.08.067 ↗
24. Design and energy analysis of a new fault-tolerant SRAM cell in quantum-dot cellular automata10.1007/s11082-022-03992-2 ↗
25. Jeon, J.C., Almatrood, A., and Kim, H.I. (2022). Multi-Layered QCA Content-Addressable Memory Cell Using Low-Power Electronic Interaction for AI-Based Data Learning and Retrieval in Quantum Computing Environment. Sensors, 23.10.3390/s23010019 ↗
26. Design of an efficient multilayer arithmetic logic unit in quantum-dot cellular automata (QCA)
27. High speed and low cost synchronous counter design in quantum-dot cellular automata10.1016/j.mejo.2017.12.011 ↗
28. An energy-aware model for the logic synthesis of quantum-dot cellular automata10.1109/TCAD.2018.2789782 ↗
29. Designing ternary quantum-dot cellular automata logic circuits based upon an alternative model10.1016/j.compeleceng.2018.07.001 ↗
30. An optimized design of full adder based on nanoscale quantum-dot cellular automata10.1016/j.ijleo.2017.12.062 ↗
31. Fault-tolerant design of a shift register at the nanoscale based on quantum-dot cellular automata10.1007/s10773-018-3781-8 ↗
32. Design of high-performance QCA incrementer/decrementer circuit based on adder/subtractor methodology10.1016/j.micpro.2019.102927 ↗
33. Low Complexity QCA Universal Shift Register Design Using Multiplexer and D Flip-Flop Based on Electronic Correlations10.1007/s11227-019-02962-y ↗
34. Design of Programmable Cellular Automata Using Quantum-Dot Cellular Automata
35. Five-Input Majority Gate, a New Device for Quantum-Dot Cellular Automata10.1166/jctn.2010.1517 ↗
36. A novel design of quantum dot cellular automata 5-input majority gate with some physical proofs10.1007/s10825-015-0757-2 ↗
37. Iqbal, J., Khanday, F.A., and Shah, N.A. (2013). IMPACT-2013, IEEE.
38. Towards modular design of reliable quantum-dot cellular automata logic circuit using multiplexers10.1016/j.compeleceng.2015.05.001 ↗
39. An optimal design of QCA based 2n:1/1:2n multiplexer/demultiplexer and its efficient digital logic realization10.1016/j.micpro.2017.10.010 ↗
40. Novel multiplexer circuit design in quantum-dot cellular automata technology10.1016/j.nancom.2023.100435 ↗
41. Faster access cost-efficient design of RAM cell using multilayer crossover in QCA10.1140/epjp/s13360-023-03800-0 ↗
42. A novel QCA circuit-switched network with power dissipation analysis for nano communication applications10.1016/j.nancom.2023.100438 ↗
43. A First Step toward Cost Functions for Quantum-Dot Cellular Automata Designs
44. Design and Power Analysis of an Ultra-high Speed Fault-tolerant Full-adder Cell in Quantum-dot Cellular Automata10.1007/s10773-022-05013-0 ↗
45. QCADesigner: A rapid design and simulation tool for quantum-dot cellular automata10.1109/TNANO.2003.820815 ↗
46. Srivastava, S., Asthana, A., Bhanja, S., and Sarkar, S. (2011, January 15–18). QCAPro—An error-power estimation tool for QCA circuit design. Proceedings of the 2011 IEEE International Symposium of Circuits and Systems (ISCAS), Rio de Janeiro, Brazil.10.1109/ISCAS.2011.5938081 ↗
47. Kim, H.I., and Jeon, J.C. (2022). Non-Restoring Array Divider Using Optimized CAS Cells Based on Quantum-Dot Cellular Automata with Minimized Latency and Power Dissipation for Quantum Computing. Nanomaterials, 12.10.3390/nano12030540 ↗