Cryogenic neuromorphic circuits using gate-controlled negative differential resistance in silicon carbide

Cryogenic electronic circuits are crucial for interfacing and controlling scalable quantum computing platforms at millikelvin temperatures, yet face stringent thermal constraints demanding ultra-low power operation. Neuromorphic circuits, emulating the spiking behavior of biological neurons, offer solution for achieving energy-efficient electronics under these conditions. Here, we report the gate-controlled negative differential resistance (NDR) in silicon carbide (SiC) metal-oxide-semiconductor field-effect transistors (MOSFETs). This NDR effect, arising from electron-donor impact ionization (EDII) in SiC MOSFET, achieves on/off current ratio over 10<sup>7</sup>. Meanwhile, the behavior of NDR can be fully controlled by the gate voltage of the MOSFET. Leveraging this gate-controlled NDR, we demonstrate programmable cryogenic spiking neuromorphic circuits, including sensory, logic, and integrate-and-fire neurons, with functionality tuned by gate or drain voltages. The established manufacturability of SiC technology highlights the potential of this approach for scalable integration in cryogenic systems for sensing, computing, and quantum information.

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Publication Details

Journal
Nature Communications
Published
2026-03-23
DOI
https://doi.org/10.1038/s41467-026-70963-6
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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article

Cryogenic neuromorphic circuits using gate-controlled negative differential resistance in silicon carbide

Zineng Yang, Liyan Zhu, Linbo Shao, Matthew Porter et al.
Nature Communications
Advanced Memory and Neural Computing
article

Cryogenic neuromorphic circuits using gate-controlled negative differential resistance in silicon carbide

Zineng Yang, Liyan Zhu, Linbo Shao, Matthew Porter, Yuan Qin, Hehe Gong, Zichen Xi, Xin Yang, Yuhao Zhang, Liyang Jin, Han Wang
article en

Abstract

Cryogenic electronic circuits are crucial for interfacing and controlling scalable quantum computing platforms at millikelvin temperatures, yet face stringent thermal constraints demanding ultra-low power operation. Neuromorphic circuits, emulating the spiking behavior of biological neurons, offer solution for achieving energy-efficient electronics under these conditions. Here, we report the gate-controlled negative differential resistance (NDR) in silicon carbide (SiC) metal-oxide-semiconductor field-effect transistors (MOSFETs). This NDR effect, arising from electron-donor impact ionization (EDII) in SiC MOSFET, achieves on/off current ratio over 10<sup>7</sup>. Meanwhile, the behavior of NDR can be fully controlled by the gate voltage of the MOSFET. Leveraging this gate-controlled NDR, we demonstrate programmable cryogenic spiking neuromorphic circuits, including sensory, logic, and integrate-and-fire neurons, with functionality tuned by gate or drain voltages. The established manufacturability of SiC technology highlights the potential of this approach for scalable integration in cryogenic systems for sensing, computing, and quantum information.

Nature Communications
Hong Kong Baptist University (HK), Education University of Hong Kong (HK), HKU-Pasteur Research Pole (HK), Virginia Tech (US), University of Hong Kong (HK)
Affordable and clean energy
Openalex Percentile: Top 11%
Advanced Memory and Neural Computing
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