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Issue No. 09 - Sept. (2015 vol. 64)
ISSN: 0018-9340
pp: 2476-2489
Vassilios A. Mardiris , Technological Educational Institute of Kavala, Kavala GR-65404, Greece
Georgios Ch. Sirakoulis , Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi GR-67100, Greece
Ioannis G. Karafyllidis , Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi GR-67100, Greece
ABSTRACT
Cellular automata (CAs) have been widely used to model and simulate physical systems and processes. CAs have also been successfully used as a VLSI architecture that proved to be very efficient at least in terms of silicon-area utilization and clock-speed maximization. Quantum cellular automata (QCAs) as one of the promising emerging technologies for nanoscale and quantum computing circuit implementation, provides very high scale integration, very high switching frequency and extremely low power characteristics. In this paper we present a new automated design architecture and a tool, namely DATICAQ (Design Automation Tool of 1-D CAs using QCAs), that builds a bridge between 1-D CAs as models of physical systems and processes and 1-D QCAs as nanoelectronic architecture. The QCA implementation of CAs not only drives the already developed CAs circuits to the nanoelectronics era but improves their performance significantly. The inputs of the proposed architecture are CA dimensionality, size, local rule, and initial and boundary conditions imposed by the particular problem. DATICAQ produces as output the layout of the QCA implementation of the particular 1-D CA model. Simulations of CA models for zero and periodic boundary conditions and the corresponding QCA circuits showed that the CA models have been successfully implemented.
INDEX TERMS
Clocks, Wires, Computer architecture, Integrated circuit modeling, Switches, Computational modeling, Integrated circuit interconnections
CITATION

V. A. Mardiris, G. C. Sirakoulis and I. G. Karafyllidis, "Automated Design Architecture for 1-D Cellular Automata Using Quantum Cellular Automata," in IEEE Transactions on Computers, vol. 64, no. 9, pp. 2476-2489, 2015.
doi:10.1109/TC.2014.2366745
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