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Condensed Matter > Materials Science

arXiv:2608.18467 (cond-mat)
[Submitted on 19 Aug 2026]

Title:Room-temperature ferroelectrically switchable quantum geometry in few-layer WTe2 for complementary in-memory computing

Authors:Ruihan Wang, Pengfei Wang, Haoyun Chen, Yunze Peng, Bingyan Liu, Junlin Xiong, Xueyuan Zhang, Chen Pan, Xin Chen, Shengyuan A. Yang, Shi-Jun Liang, Feng Miao, Peng Song
View a PDF of the paper titled Room-temperature ferroelectrically switchable quantum geometry in few-layer WTe2 for complementary in-memory computing, by Ruihan Wang and 12 other authors
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Abstract:Quantum geometry, describing the inherent geometric structure of electron wavefunctions in momentum space, transcends the traditional charge degree of freedom and provides a novel physical basis for information encoding and processing. The key to such new computing paradigms is the non-volatile electrical programming of quantum geometric states at room temperature, which, however, has not been established. Here, we demonstrate ferroelectrically switchable quantum geometry in few-layer WTe2, which uniquely enables complementary convolutional processing. By employing the intrinsic coupling between ferroelectric polarization and quantum geometry in few-layer WTe2, we show that the second- and third-order nonlinear anomalous Hall effects (NLAHE) can be deterministically and electrically switched in a nonvolatile and correlated manner. The switching is robust at room temperature for ~104 cycles and retention of ~105 s. Furthermore, leveraging the opposite switching behaviors of second- and third-order NLAHE at room temperature, we demonstrate complementary in-memory computing and implement a hardware-level complementary convolution kernel. This kernel overcomes the inherent directional specificity of conventional convolutional networks and achieves a texture recognition accuracy of 98%, thereby illustrating a viable pathway towards physics-native computing through exploiting exotic physics in quantum materials.
Comments: 4 Figures
Subjects: Materials Science (cond-mat.mtrl-sci)
Cite as: arXiv:2608.18467 [cond-mat.mtrl-sci]
  (or arXiv:2608.18467v1 [cond-mat.mtrl-sci] for this version)
  https://doi.org/10.48550/arXiv.2608.18467
arXiv-issued DOI via DataCite (pending registration)
Journal reference: Nature Communications, 2026,
Related DOI: https://doi.org/10.1038/s41467-026-76369-8
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Submission history

From: Peng Song [view email]
[v1] Wed, 19 Aug 2026 02:40:58 UTC (1,490 KB)
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