Error-Power Tradeoffs in QCA Design

Srivastava, Saket; Sarkar, Sudeep; Bhanja, Sanjukta

doi:10.1109/nano.2008.158

Cited by 8 publications

(2 citation statements)

References 16 publications

(17 reference statements)

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“…In the sense of OR gate the control C is to be set to 1 always, which provides positive polarization [9], [10]. Hence, the majority gate expression comes out as, Z=A+B after putting the input variables accordingly.…”

Section: B or Gate Designmentioning

confidence: 99%

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A Novel Optimized Multiplexer Design in Quantum-Dot Cellular Automata

Roy¹

2017

IJRASET

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Molecular quantum-dot cellular automata (QCA) is an emerging nanocomputing paradigm, which operates on electrostatic repulsion phenomena between two electrons to keep those apart at the maximum distance to a rest position for obtaining the highest finding probability. In the field of Quantum-dot Cellular Automata the digital logic gate approaches nearly about to nanometer in scale. In QCA quantum gates operate by the tunneling effect of electrons from one quantum dot to another dot through revealing its wave nature. The operating speed of the device gains the speed of light because the quantum tunneling occurs at the light speed. This paper compares two methodologies of quantum logic gate designing, those are universal T gate designing and conventional gate designing practice. One 22 cells 2x1 MUX is proposed which is designed by conventional method, that provides 20.35% optimization in area occupancy compared to the best reported designs. Furthermore, one 11 cells 2:1 MUX layout is proposed which achieves 33.33% area reduction compared to the best ever multiplexer designed in QCA technology.

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Section: B or Gate Designmentioning

confidence: 99%

“…The following waveform of the NAND gate exactly resembles with the standard NAND gate output, fig. 4 (f) [9], [13]. Table I, provides the truth table of the NAND gate which has received from the simulated waveform of NAND gate, fig.…”

Section: Nand Gate Designmentioning

confidence: 99%

A Novel Optimized Multiplexer Design in Quantum-Dot Cellular Automata

Roy¹

2017

IJRASET

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Innovation Quinary and n‐Value toward Fuzzy Logic QCA Cell Design

Akbari‐Hasanjani

Sabbaghi‐Nadooshan

2021

Advcd Theory and Sims

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Quantum Cellular automata (QCA) is a technology developed to replace complementary metal‐oxide‐semiconductor (CMOS) technology that faces increasing challenges due to the miniaturization of CMOS dimensions. The use of multi‐valued QCA is of interest because of its proximity to fuzzy logic, and lower power consumption. A two‐layer quinary system is proposed and the basic logic gates are examined and simulated to confirm the correct performance of the proposed cell. The proposed cell employs two layers because the presence of more than two particles per layer destabilizes the design of logic gates. The proposed Quinary QCA(QuQCA) cell can be implemented in one layer using input and output derives. Simple relationships are proposed to calculate the polarization values and the number and type of layers, so complex quantum computations can be avoided. The quantum power consumption and the proposed cell power consumption of the quinary system are calculated and compared. Finally, we present n‐valued cells without using quantum computation, and these cells are examined in terms of the number of particles, polarization value, and cell structure. The n‐level cell can be investigated more easily than other technologies due to its proximity to fuzzy logic and the design of the input, output, and fuzzy membership function.

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