A QCA Layout Design Methodology. Part I
Shadi Sheikhfaal

TL;DR
This paper introduces the Priority-Phased Decomposition-Driven (PPDD) methodology for QCA layout design, enabling systematic composition of complex nanoscale circuits using prioritized logic blocks.
Contribution
It proposes a novel, structured approach for QCA circuit layout design based on priority-driven decomposition and block composition.
Findings
Effective partitioning of circuits into priority blocks
Streamlined approaches for QCA circuit assembly
Enhanced design methodology for nanoscale QCA circuits
Abstract
Quantum-dot Cellular Automata (QCA) as a nanoscale transistor-less device technology offers distinguishing advantages over the limitations of CMOS circuits. While more than 2 decades of design progress have been achieved with QCA, a comprehensive composition approach for the layout design in this technology is needed. In this study, the Priority-Phased Decomposition-Driven (PPDD) QCA logic design methodology is proposed. In this methodology, after partitioning combinational and sequential circuits into primary-level priority blocks including 2:1 MUX and XOR gates, and secondary-level priority blocks comprising multi-input majority gates, there are three streamlined approaches which are developed to compose the desired QCA circuit using blocks from each priority level.
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Taxonomy
TopicsQuantum-Dot Cellular Automata · Advanced Memory and Neural Computing · Semiconductor materials and devices
