Bhanja, Sanjukta and Srivastava, Saket (2005) Bayesian modeling of quantumdotcellularautomata circuits. In: NSTI Nanotechnology Conference 2005e, 8  12 May 2005, Anaheim.
Full content URL: http://helios.acomp.usf.edu/~ssrivast/PDF/QCA_NSTI...
Documents 


PDF
11287 QCA_NSTI.pdf  Whole Document 2MB 
Item Type:  Conference or Workshop contribution (Poster) 

Item Status:  Live Archive 
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 quantummechanical steadystate 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:  quantumdot 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 
Repository Staff Only: item control page