Article

QCA based Content Addressable Memory Design

Karimov Madjit MalikovichKomil TashevTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, UzbekistanNuriddin SafoevTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan

2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en

ABI

Abstract

Promising nanotechnology, Quantum-dot Cellular Automata (QCA), is a possible platform for implementing future chip production. This paper presents systematic reviews about the QCA-based memories and during review we also propose a new QCAdesign of CAM cell with low complexity. Structural analysis using the QCADesigner simulation tool is carried out to evaluate the proposed designs.

Topics

Quantum-Dot Cellular Automata Advanced Memory and Neural Computing Advancements in Semiconductor Devices and Circuit Design

Identifiers

DOI: 10.1109/icisct52966.2021.9670375

Citations and references

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