A Test Generation Framework for Quantum Cellular Automata Circuits

Gupta, Pallav; Jha, Niraj K.; Lingappan, Loganathan

doi:10.1109/tvlsi.2007.891081

Cited by 51 publications

(14 citation statements)

References 24 publications

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“…8. In synthesis phase during fabrication the defect can occur because of the dot size and the space in which it is deposited [12][13][14][15]. During the deposition phase, the possibility of defect is due to the Misalignment, or addition of an extra cell or due to the absence of the required cell [15][16][17].…”

Section: Types Of Defectsmentioning

confidence: 99%

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Defect Analysis and Testing of Low Power Nanoscale Reversible Decoder using Quantum Dot Cellular Automata

Jayalakshmi¹,

Kumaran²

2019

JNST

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The present research focusses on analysis of defects and the framework for testing the reversible decoder constructed using quantum dot cellular automata circuits. Quantum dot cellular automata has been one of the paradigms shifts from the conventional complementary metal oxide field effect transistor. This paper focuses on the modeling of struck at faults that possibly occurs in a circuit other than the fabrication defects. The struck at faults are modeled considering the inverter and the majority voter. We have also created a model for the flow of signal on the reversible decoder using quantum dot cellular automata. The design analyses the percentage of fault occurrence for the decoder constructed using reversible QCA2 Gate. The model is simulated using QCA Designer tool.

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Section: Types Of Defectsmentioning

confidence: 99%

“…Numerous simulations on defects and fault injection has been evaluated on the QCA structures like inverter, wire, majority voter, cross over and fan outs. The displacement and misalignment defects are discussed by various authors [12][13][14][15] and represented in Figs. 9 and10.…”

Section: Types Of Defectsmentioning

confidence: 99%

Defect Analysis and Testing of Low Power Nanoscale Reversible Decoder using Quantum Dot Cellular Automata

Jayalakshmi¹,

Kumaran²

2019

JNST

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“…One of solutions is a quantum-dot cellular automata (QCA). It not only gives a solution at nano-scale, but also offers new techniques of computation and data transmission [6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Extendable Quantum-Dot Cellular Automata Decoding Architecture Using 5-Input Majority Gate

Jeon

2015

IJCA

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“…In addition, if the quantum cells can be fabricated through molecular implementation, it is expected that QCA can reach densities of 1012 devices/cm 2 and operate at terahertz frequencies. 9 As the number of clock phases is a very consequential parameter in QCA circuit design, designing multi-input logic circuits directly (not with cascading) with the lowest possible number of clock phases is highly of an interest specifically in QCA technology.…”

Section: Introductionmentioning

confidence: 99%

Design of Efficient and Testable <I>n</I>-Input Logic Gates in Quantum-Dot Cellular Automata

Sayedsalehi¹,

Moaiyeri²,

Navi³

2013

Jnl of Comp & Theo Nano

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Quantum Dot Cellular Automata (QCA) is an emerging nanotechnology that can be considered as a possible alternative for replacing the conventional silicon MOSFET technology, in the near future. This paper presents a novel method for designing logic circuits with high efficiency, controllability and testability for QCA technology. The proposed n-input AND and OR circuits are designed based on n-input majority gate, whereas based on the conventional method of QCA logic circuit design, at most n/2 -input AND and OR gates can be implemented using n-input majority gates. Designing efficient multi-input logic gates is advantageous specifically in QCA technology due to the reduction of the number of clocks and the used cells. The presented logic gates can be utilized as the building blocks of the more complex QCA logic and arithmetic circuits. In addition, a new method of test is proposed, which benefits from the high controllability of the proposed logic gates. All of the proposed circuits are simulated and tested using QCADesigner tool to authenticate their functionality. Comparisons demonstrate the superiority of the proposed designs in terms of cell count, delay and area with respect to other designs, specifically with higher number of inputs.

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A Test Generation Framework for Quantum Cellular Automata Circuits

Cited by 51 publications

References 24 publications

Defect Analysis and Testing of Low Power Nanoscale Reversible Decoder using Quantum Dot Cellular Automata

Defect Analysis and Testing of Low Power Nanoscale Reversible Decoder using Quantum Dot Cellular Automata

Extendable Quantum-Dot Cellular Automata Decoding Architecture Using 5-Input Majority Gate

Design of Efficient and Testable <I>n</I>-Input Logic Gates in Quantum-Dot Cellular Automata

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