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Logic Optimization of Quantum-Dot Cellular Automata Circuits Using Ant Colony Optimization Algorithms

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In this paper we discuss the problem of identifying the representation of any logic with minimum use of majority gates and inverters as these are the basic elements of Quantum-dot Cellular Automata circuits. We use ant colony optimization for continuous domain (ACOR), a novel level ACOR and a new variation of Quantum Ant Colony Optimization Algorithm (QACO) to tackle the problem. We compare the results of these with genetic algorithm and other used approaches to tackle this problem.
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Document Type: Research Article

Publication date: April 1, 2015

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  • QUANTUM MATTER is a peer-reviewed interdisciplinary journal consolidating research activities in all theoretical, experimental and technological aspects dealing with fundamental structure of matter from cosmology to materials science.
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