AI 中文总结
该研究在少层WTe2中实现室温铁电可切换量子几何，构建互补卷积核，达成98%纹理识别准确率，为原生物理计算提供了可行路径。
AI 中文摘要
量子几何描述动量空间中电子波函数的固有几何结构，超越了传统的电荷自由度，为信息编码与处理提供了新的物理基础。这类新型计算范式的关键在于室温下对量子几何态的非易失性电学调控，然而这一目标尚未实现。本文中，我们展示了少层WTe2中存在铁电可切换的量子几何，其独特性在于可实现互补卷积处理。通过利用少层WTe2中铁电极化与量子几何之间的本征耦合，我们证明二阶和三阶非线性反常霍尔效应（NLAHE）可通过电学方式以非易失性且相关联的方式实现确定性切换。该切换在室温下可稳定循环约10^4次，保持时间约10^5秒。此外，利用室温下二阶与三阶NLAHE相反的切换行为，我们实现了互补内存计算并构建了硬件级互补卷积核，该核克服了传统卷积网络固有的方向特异性，达到了98%的纹理识别准确率，为通过利用量子材料中的奇异物理实现原生物理计算提供了可行路径。
英文摘要
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.
Comments4 Figures
Journal refNature Communications, 2026,
DOI：10.1038/s41467-026-76369-8
