Sequential circuit design in quantum-dot cellular automata

Venkataramani, P. and Srivastava, S. and Bhanja, S. (2008) Sequential circuit design in quantum-dot cellular automata. In: Nanotechnology, 2008. NANO '08. 8th IEEE Conference on, 18-21 Aug. 2008, Arlington, TX.

Full content URL: http://dx.doi.org/10.1109/NANO.2008.159

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Abstract

In this work we present a novel probabilistic modeling scheme for sequential circuit design in quantum-dot cellular automata(QCA) technology. Clocked QCA circuits possess an inherent direction for flow of information which can be effectively modeled using Bayesian networks (BN). In sequential circuit design this presents a problem due to the presence of feedback cycles since BN are direct acyclic graphs (DAG). The model presented in this work can be constructed from a logic design layout in QCA and is shown to be a dynamic Bayesian Network (DBN). DBN are very powerful in modeling higher order spatial and temporal correlations that are present in most of the sequential circuits. The attractive feature of this graphical probabilistic model is that that it not only makes the dependency relationships amongst node explicit, but it also serves as a computational mechanism for probabilistic inference. We analyze our work by modeling clocked QCA circuits for SR F/F, JK F/F and RAM designs.

Keywords:belief networks, cellular automata, integrated circuit design, quantum dots, sequential circuits, Bayesian networks, clocked QCA circuits, probabilistic modeling scheme, quantum-dot cellular automata, sequential circuit design, Bayesian methods, Clocks, Logic design, Polarization, Quantum cellular automata, Quantum computing
Subjects:H Engineering > H611 Microelectronic Engineering
H Engineering > H610 Electronic Engineering
H Engineering > H612 Integrated Circuit Design
Divisions:College of Science > School of Computer Science
College of Science > School of Engineering
ID Code:10740
Deposited On:23 Jul 2013 12:35

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