Cell Number Optimization for Quantum Cellular Automata Based on AND-OR-INVERTER
Majority and inverter gates together make a universal set of Boolean primitives in Quantum-dot Cellular Automata (QCA) circuits. However, an experimental evaluation has shown that MV is not efficiently used during technology mapping by existing logic-synthesis tools. In this paper,
we propose an approach, based on Genetic Algorithm, which reduces the area size of QCA circuits. Simulation results show that the proposed method is able to reduce area in QCA circuits design.
Keywords: AOI GATE; AREA REDUCTION; GENETIC ALGORITHM; MAJORITY GATE; QCA
Document Type: Research Article
Publication date: 01 May 2012
- Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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