PoisSolver: a Tool for Modelling Silicon Dangling Bond Clocking Networks

Chiu, Hsi Nien; Ng, Samuel S. H.; Retallick, Jacob; Walus, Konrad

doi:10.1109/nano47656.2020.9183710

Cited by 16 publications

(15 citation statements)

References 26 publications

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“…This implementation works in the forward as well as backward direction. Figure 6 demonstrates the QCA schematic and its QCA layout in Figure 7 [31][32][33].…”

Section: A Fredkin Gatementioning

confidence: 99%

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RSCV: Reversible Select, cross and variation architecture in quantum‐dot cellular automata

Kundu

Das

2022

IET Quantum Communication

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In the past few years, CMOS semiconductor has been a growing and evolving technology in VLSI. However, due to the scaling issue and some other constraints like heat generation, high power consumption QCA (quantum cellular automata) emerged as an alternate and enhanced solution that provides a new technique of computing than CMOS in recent years. QCA is highly effective in implementing both Irreversible and Reversible logic, which has been shown to be incredibly efficient in terms of power consumption. A novel technique to data encryption called as SCV (select, cross, and variation) is demonstrated in this paper, which is based on ASCII to binary conversion and uses reversible logic. The data security procedure is aided by implementing SCV logic in reversible logic. Using Fredkin gate, it is built in QCA. QCADesigner tool has been used here for design and verification purposes. Total 80 cell counts and 0.14 μm 2 area are required. The theoretical data and the simulation results are the same as the intended circuit. Comparison to previous QCA architectural features is featured. K E Y W O R D Scross and variation (SCV method), data encryption, fredkin Gate, quantum-dot cellular automata (QCA), reversible Gate, selectThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…This implementation works in the forward as well as backward direction. Figure 6 demonstrates the QCA schematic and its QCA layout in Figure 7 [31][32][33].…”

Section: A Fredkin Gatementioning

confidence: 99%

“…The corresponding QCA circuit is plotted in Figure 9 [31][32][33]. The truth table is illustrated in Table 3.…”

Section: Design Of Reversible Select Cross and Variation (Scv) Circuitmentioning

confidence: 99%

RSCV: Reversible Select, cross and variation architecture in quantum‐dot cellular automata

Kundu

Das

2022

IET Quantum Communication

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“…As mentioned in Ref. [24][25][26][27][28][29], the tile-based designs are more stable than gate-based designs. Simulation is performed using the values obtained in the proposed example presented in section IIA.…”

Section: Comparison Of the Suggested Qca Xnor And The Previous Circuitmentioning

confidence: 99%

Digital signature technique with quantum‐dot cellular automata

Kundu

Debnath

Das

et al. 2022

IET Quantum Communication

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Quantum‐dot cellular automaton (QCA) is efficient nanotechnology that may be used as an alternative to Complementary Metal Oxide Semiconductor technology. Here, computation relies upon the electron's polarisation, revealing binary information. Quantum‐dot cellular automaton is an appropriate opportunity for the upcoming age of advanced digital frameworks. Security in transferring data is essential since a lot of valuable information is present. Digital Signature is a process where data is transferred from a receiver to an authenticated sender only. In this paper, tile‐based Exclusive NOR gate (XNOR) is designed, which is more stable than the regular majority gate‐based circuit. It is used to create a novel circuit for authentication of data which is based on tiles. It develops a QCA architecture that works on the principle of Digital Signature. The architecture validates and proves the authentication of the message sent from the sender to the receiver. The decrypted digest and the converted digest of the original dispatch are compared in the proposed Digital Validator circuit, which is developed utilising a QCA XNOR gate. The security for communication at the nanoscale level is enhanced due to the use of the SHA‐256 algorithm. The simulation results confirm the theoretical results.

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“…This application allows studying circuits' behavior before physical development, warranting fast and highcoverage exploitation. For example, SiQAD [15] provides a visual design of gates, simulation, and implementation of electrode-based clock schemes [58].…”

Section: A Field-coupled Nanocomputingmentioning

confidence: 99%

Design Automation for Emerging Technologies

Paranaiba

Oliveira

Marks³

et al. 2022

JICS

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After the continuous development of CMOS technology driven by transistor miniaturization and Moore’s law, the scientific community is witnessing the exploration of emerging paradigms to find new ways to develop computational systems. This paper presents critical concepts for understanding some of these new nanocomputing technologies, specifically field-coupled, quantum-dot cellular automata, nanomagnetic logic, silicon dangling bounds, photonic crystal logic, and DNA computing. Next, it shows emerging design automation tools for each of these areas and how they can be applied to support the development of new computing systems. The level of maturity and production speed of solutions achieved by conventional silicon technology thanks to very efficient electronic design automation (EDA) is remarkable. However, here we are dealing with technologies still in their infancy. Therefore, improvements in design automation tools are undoubtedly a way to accelerate the growth of new substrate alternatives and modern applications.

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PoisSolver: a Tool for Modelling Silicon Dangling Bond Clocking Networks

Cited by 16 publications

References 26 publications

RSCV: Reversible Select, cross and variation architecture in quantum‐dot cellular automata

RSCV: Reversible Select, cross and variation architecture in quantum‐dot cellular automata

Digital signature technique with quantum‐dot cellular automata

Design Automation for Emerging Technologies

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