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Local Activity in a Self‐Assembled Quantum Dot System

Local Activity in a Self‐Assembled Quantum Dot System Research and development of memristor‐based neuromorphic networks has entered the stage of large‐scale application. However, the understanding of the adopted memristors is still vague, meaning a thorough study of their local activity is urgently necessary. Here, an electrode tip is created to focus the electrical field on the active locality, where the NbO quantum dot (QD) self‐assembles in the middle of the Nb‐doped AlNO film. The QD size can fluctuate under an appropriately controlled electron beam or electrical field, suggesting reversible nucleation behavior. The QD system periodically pulses when the input is enhanced to a co‐tunneling threshold or to one that activates the oscillation of the QD size. These two mechanisms are attributed to the local activity accounting for the information‐energy conversion of the QD system. This study presents a more precise and low energy‐consumption approach for neuromorphic computing by manipulating the local activity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advanced Quantum Technologies Wiley

Local Activity in a Self‐Assembled Quantum Dot System

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References (20)

Publisher
Wiley
Copyright
© 2023 Wiley‐VCH GmbH
eISSN
2511-9044
DOI
10.1002/qute.202300021
Publisher site
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Abstract

Research and development of memristor‐based neuromorphic networks has entered the stage of large‐scale application. However, the understanding of the adopted memristors is still vague, meaning a thorough study of their local activity is urgently necessary. Here, an electrode tip is created to focus the electrical field on the active locality, where the NbO quantum dot (QD) self‐assembles in the middle of the Nb‐doped AlNO film. The QD size can fluctuate under an appropriately controlled electron beam or electrical field, suggesting reversible nucleation behavior. The QD system periodically pulses when the input is enhanced to a co‐tunneling threshold or to one that activates the oscillation of the QD size. These two mechanisms are attributed to the local activity accounting for the information‐energy conversion of the QD system. This study presents a more precise and low energy‐consumption approach for neuromorphic computing by manipulating the local activity.

Journal

Advanced Quantum Technologies – Wiley

Published: Jun 1, 2023

Keywords: local activity; memristors; quantum dots; self‐assemble; tunneling

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