MNIST数据库
XNOR门
逻辑门
计算机科学
异或门
电子工程
布尔函数
控制重构
和大门
非线性系统
光学计算
通流晶体管逻辑
带宽(计算)
信号处理
神经形态工程学
逻辑综合
克尔效应
调制(音乐)
计算机硬件
光开关
并行处理
高效能源利用
CMOS芯片
放大器
拓扑(电路)
计算机体系结构
光学晶体管
空间光调制器
内存处理
或门
物理
可编程逻辑器件
吞吐量
非线性光学
现场可编程门阵列
数字电子学
作者
Yanqi Ge,Wenkai Wang,Mengdi Wang,Shoukai Zhang,Yuanjiang Zhong,Youqi Zhang,Songrui Wei,Bowen Du,Hao Wang,Meng Qiu,Shuai Liu,Lei Zhang,Jianqing Li,Yutao Yue,Han Zhang
标识
DOI:10.1038/s41467-026-70834-0
摘要
Optical logic computing harnesses the speed of light and the high bandwidth of optical signals to achieve ultrafast, highly parallel and energy-efficient operations. In particular, all-optical logic gates can perform Boolean functions using only photons, acting as core elements of future optical computing and communication systems. However, the multifunctional integration and flexible reconfiguration of optical devices remain challenging. Here, we present an electrically reconfigurable all-optical logic processing unit that leverages the Kerr nonlinear effect in conjunction with modulation of high-entropy MXene surface terminations. This architecture enables dynamic switching among seven fundamental Boolean operations - including AND, OR, NOT, NOR, NAND, XOR and XNOR - within a single optical configuration. With our platform we demonstrate handwritten digit recognition on the MNIST dataset, achieving a classification accuracy of 97.7%. By combining reconfigurable nonlinear optics with multifunctional two-dimensional materials, our approach establishes an alternative logic architecture pathway with the potential to enhance throughput and energy efficiency in response to AI workloads.
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