Bayesian modeling of quantum-dot-cellular-automata circuits

Bhanja, Sanjukta and Srivastava, Saket (2005) Bayesian modeling of quantum-dot-cellular-automata circuits. In: NSTI Nanotechnology Conference 2005e, 8 - 12 May 2005, Anaheim.

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Item Type:Conference or Workshop contribution (Poster)
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Abstract

The goal of this work is to develop a fast, Bayesian Probabilistic Computing model [1],[2] that exploits the induced causality of clocking to arrive at a model with the minimum possible complexity. The probabilities directly model the quantum-mechanical steady-state probabilities (density matrix) or equivalently, the cell polarizations. The attractive feature of this model is that not only does it model the strong dependencies among the cells, but it can be used to compute the steady state cell polarizations, without ...

Keywords:quantum-dot cellular automata, bayesian networks, probabilistic computing, QCA computing
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G150 Mathematical Modelling
H Engineering > H600 Electronic and Electrical Engineering
H Engineering > H620 Electrical Engineering
H Engineering > H611 Microelectronic Engineering
F Physical Sciences > F342 Quantum Mechanics
H Engineering > H690 Electronic and Electrical Engineering not elsewhere classified
F Physical Sciences > F343 Computational Physics
H Engineering > H610 Electronic Engineering
Divisions:College of Science > School of Computer Science
College of Science > School of Engineering
College of Science > School of Mathematics and Physics
ID Code:11287
Deposited On:19 Oct 2015 16:05

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