Researching | Empowering neuromorphic computing with topological states

Journal of Semiconductors, Volume. 45, Issue 11, 110401(2024)

Empowering neuromorphic computing with topological states

Faisal Ahmed and Zhipei Sun^*

Author Affiliations

QTF Centre of Excellence, Department of Electronics and Nanoengineering, Aalto University, Tietotie 3, FI-02150 Espoo, Finland

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References(5)

[1] K v Klitzing, G Dorda, M Pepper. New method for high-accuracy determination of the fine-structure constant based on quantized Hall resistance. Phys Rev Lett, 45, 494(1980).

[2] C Z Chang, J S Zhang, X Feng et al. Experimental observation of the quantum anomalous Hall effect in a magnetic topological insulator. Science, 340, 167(2013).

[3] M König, S Wiedmann, C Brüne et al. Quantum spin Hall insulator state in HgTe quantum wells. Science, 318, 766(2007).

[4] E Y Andrei, A H MacDonald. Graphene bilayers with a twist. Nat Mater, 19, 1265(2020).

[5] M Chen, Y Xie, B Cheng et al. Selective and quasi-continuous switching of ferroelectric Chern insulator devices for neuromorphic computing. Nat Nanotechnol, 19, 962(2024).

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Faisal Ahmed, Zhipei Sun. Empowering neuromorphic computing with topological states[J]. Journal of Semiconductors, 2024, 45(11): 110401

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Paper Information

Category: Research Articles

Received: Jul. 22, 2024

Accepted: --

Published Online: Dec. 23, 2024

The Author Email: Sun Zhipei (ZPSun)

DOI:10.1088/1674-4926/24080029

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology