A QCA cell in silicon-on-insulator technology: theory and experiment

Macucci, Massimo; Gattobigio, M.; Bonci, Luca; Iannaccone, Giuseppe; Prins, F. E.; Single, C.; Wetekam, G.; Kern, D. P.

doi:10.1016/j.spmi.2004.03.010

Cited by 34 publications

(13 citation statements)

References 10 publications

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“…Semiconductor [3][4][5][77][78][79] Metal-Island [6, 7, 9-14, 16-26, 55] Magnetic [42,43,80] Molecular [27-35, 37-41, 81] 4.12.1. Semiconductor QCA Room temperature QCA requires cells that are approximately 1-5 nm.…”

Section: Qca Fabricationmentioning

confidence: 99%

“…One of these paradigms was introduced to the research community in 1993 by C. S. Lent; he published the first work on a novel paradigm for computing at the nanoscale that is based on cellular automata, which he called quantum-dot cellular automata (QCA) [2]. Rather than encoding information in the on/off state of a current switch, the QCA paradigm encodes information in the electronic configuration of coupled quantum dots [3][4][5], metallic islands , molecules [27][28][29][30][31][32][33][34][35][36][37][38][39][40][41], or alternatively the magnetization in anisotropic nanomagnets [42,43]. Information is transmitted and processed via the electrostatic or magnetic exchange interaction between individual QCA cells [44].…”

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confidence: 99%

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Computing with Quantum‐Dot Cellular Automata

Walus

Jullien

2009

Bio‐Inspired and Nanoscale Integrated Computing

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Section: Qca Fabricationmentioning

confidence: 99%

mentioning

confidence: 99%

Computing with Quantum‐Dot Cellular Automata

Walus

Jullien

2009

Bio‐Inspired and Nanoscale Integrated Computing

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“…An exhaustive research is conceived during a decade and becomes research interest. Several proposals have been reported to design the QCA Device fabrication [4][5], Logic implementation [6][7][8][9][10][11][12][13], and testing [14][15][16][17][18][19][20][21][22][23] etc. the fundamental theory of computation for QCA is a cell, consisting of two extra electrons confined within square shape four quantum dot systems.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Defect Analysis Model for Quantum dot Cellular Automata Design at Analytical Phase

Dey¹,

Das²,

De³

et al. 2012

IJCA

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The advantage of defect analysis on Quantum dot Cellular Automata(QCA) is that defects can be predict (which are probable to arise during fabrication phase) at analytical phase of QCA design. Since QCA is probabilistic in nature, the probability theory is introduced here to analyze the defect/fault tolerance at gate level of QCA design. We proposed a Bayesian network based Probabilistic Defect Analysis Model (PDAM) to analyze the defect at analytical phase of QCA design. Proposed model is applied over QCA wire, three input Majority voter, Five Input Majority voter and the result is compared with QCADesigner to justify the importance of PDAM approach over exhaustive simulation process with QCADesigner.

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“…Similar configurations have been studied as the silicon-on-insulator QCA cell [26,27]. The TQDs include a very small quantum dot arising from the compressive stress during the thermal oxidation process.…”

Section: Introductionmentioning

confidence: 99%

Electron transport through silicon serial triple quantum dots

Yamahata

Tsuchiya

Mizuta

et al. 2009

Solid-State Electronics

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a b s t r a c tWe study the electron transport through silicon serial triple quantum dots (TQDs) formed effectively in a lithographically-defined multiple quantum dot system on a silicon-on-insulator substrate at a temperature of 4.2 K. Our serial TQDs are composed of two lithographically-patterned QDs and another one inbetween formed by stress during the pattern-dependent oxidation process. The TQDs formation is confirmed by equivalent circuit simulations, which show an excellent agreement with the experimental results. With detailed analysis of the charge configurations in the TQDs, we discuss the distinct properties of the TQDs, including electron transport at the charge quadruple points. In addition, we discuss higher order tunneling processes of the TQDs. The analysis of electron states in the silicon TQDs is a crucial step toward the future implementation of integrated silicon quantum information devices.

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A QCA cell in silicon-on-insulator technology: theory and experiment

Cited by 34 publications

References 10 publications

Computing with Quantum‐Dot Cellular Automata

Computing with Quantum‐Dot Cellular Automata

Probabilistic Defect Analysis Model for Quantum dot Cellular Automata Design at Analytical Phase

Electron transport through silicon serial triple quantum dots

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