Multi-Layered QCA Content-Addressable Memory Cell Using Low-Power Electronic Interaction for AI-Based Data Learning and Retrieval in Quantum Computing Environment

Multi-Layered QCA Content-Addressable Memory Cell Using Low-Power Electronic Interaction for AI-Based Data Learning and Retrieval in Quantum Computing Environment

In this study, we propose a quantum structure of an associative memory cell for effective data learning based on artificial intelligence. For effective learning of related data, content-based retrieval and storage rather than memory address is essential. A content-addressable memory (CAM), which is...

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Bibliographic Details
Main Authors: Jun-Cheol Jeon, Amjad Almatrood, Hyun-Il Kim
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
quantum computing
nanotechnology
artificial intelligent learning
quantum-dot cellular automata
content addressable memory
low-power QCA circuits
Online Access:https://www.mdpi.com/1424-8220/23/1/19

Internet

https://www.mdpi.com/1424-8220/23/1/19

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