In-Memory Probabilistic Computing Using Gate-Tunable Layer Pseudospins in van der Waals Heterostructures  

在线阅读下载全文

作  者:Jiao Xie Jun-Lin Xiong Bin Cheng Shi-Jun Liang Feng Miao 谢鲛;熊俊林;程斌;梁世军;缪峰

机构地区:[1]Institute of Brain-Inspired Intelligence,National Laboratory of Solid State Microstructures,School of Physics,Collaborative Innovation Center of Advanced Microstructures,Nanjing University,Nanjing 210093,China [2]Institute of Interdisciplinary Physical Sciences,School of Science,Nanjing University of Science and Technology,Nanjing 210094,China [3]Jiangsu Physical Science Research Center,Nanjing 210093,China

出  处:《Chinese Physics Letters》2025年第4期9-22,共14页中国物理快报(英文版)

基  金:supported by the National Natural Science Foundation of China(Grant Nos.12322407,62122036,and 62034004);the Natural Science Foundation of Jiangsu Province(Grant No.BK20233001);the National Key R&D Program of China(Grant Nos.2023YFF0718400 and 2023YFF1203600);the Leading-edge Technology Program of Jiangsu Natural Science Foundation(Grant No.BK20232004);the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB44000000);Innovation Program for Quantum Science and Technology;support from the Fundamental Research Funds for the Central Universities(Grant Nos.020414380227,020414380240,and 020414380242);the e-Science Center of Collaborative Innovation Center of Advanced Microstructures。

摘  要:Layer pseudospins,exhibiting quantum coherence and precise multistate controllability,present significant potential for the advancement of future computing technologies.In this work,we propose an in-memory probabilistic computing scheme based on the electrical manipulation of layer pseudospins in layered materials,by exploiting the interaction between real spins and layer pseudospins.

关 键 词:layer pseudospinsexhibiting layered materialsby real spins probabilistic computing advancement future computing technologiesin electrical manipulation layer pseudospins memory computing gate tunable layer pseudospins 

分 类 号:O469[理学—凝聚态物理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象