期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到4篇文章
< 1 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Variational data encoding and correlations in quantum-enhanced machine learning 认领 引用
1
作者 Ming-Hao Wang Hua L¨u 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第9期298-306,共9页
Leveraging the extraordinary phenomena of quantum superposition and quantum correlation,quantum computing offers unprecedented potential for addressing challenges beyond the reach of classical computers.This paper tac... Leveraging the extraordinary phenomena of quantum superposition and quantum correlation,quantum computing offers unprecedented potential for addressing challenges beyond the reach of classical computers.This paper tackles two pivotal challenges in the realm of quantum computing:firstly,the development of an effective encoding protocol for translating classical data into quantum states,a critical step for any quantum computation.Different encoding strategies can significantly influence quantum computer performance.Secondly,we address the need to counteract the inevitable noise that can hinder quantum acceleration.Our primary contribution is the introduction of a novel variational data encoding method,grounded in quantum regression algorithm models.By adapting the learning concept from machine learning,we render data encoding a learnable process.This allowed us to study the role of quantum correlation in data encoding.Through numerical simulations of various regression tasks,we demonstrate the efficacy of our variational data encoding,particularly post-learning from instructional data.Moreover,we delve into the role of quantum correlation in enhancing task performance,especially in noisy environments.Our findings underscore the critical role of quantum correlation in not only bolstering performance but also in mitigating noise interference,thus advancing the frontier of quantum computing. 展开更多
关键词 quantum machine learning variational data encoding quantum correlation
暂未订购 下载PDF
LRP:learned robust data partitioning for efficient processing of large dynamic queries 认领 引用 被引量：1
2
作者 Pengju LIU Pan CAI +2 位作者 Kai ZHONG Cuiping LI Hong CHEN 《Frontiers of Computer Science》 SCIE EI CSCD 2025年第9期43-60,共18页
The interconnection between query processing and data partitioning is pivotal for the acceleration of massive data processing during query execution,primarily by minimizing the number of scanned block files.Existing p... The interconnection between query processing and data partitioning is pivotal for the acceleration of massive data processing during query execution,primarily by minimizing the number of scanned block files.Existing partitioning techniques predominantly focus on query accesses on numeric columns for constructing partitions,often overlooking non-numeric columns and thus limiting optimization potential.Additionally,these techniques,despite creating fine-grained partitions from representative queries to enhance system performance,experience from notable performance declines due to unpredictable fluctuations in future queries.To tackle these issues,we introduce LRP,a learned robust partitioning system for dynamic query processing.LRP first proposes a method for data and query encoding that captures comprehensive column access patterns from historical queries.It then employs Multi-Layer Perceptron and Long Short-Term Memory networks to predict shifts in the distribution of historical queries.To create high-quality,robust partitions based on these predictions,LRP adopts a greedy beam search algorithm for optimal partition division and implements a data redundancy mechanism to share frequently accessed data across partitions.Experimental evaluations reveal that LRP yields partitions with more stable performance under incoming queries and significantly surpasses state-of-the-art partitioning methods. 展开更多
关键词 data partitioning data encoding query prediction beam search data redundancy
暂未订购 下载PDF
Longitudinally engineered metasurfaces for 3D vectorial holography 认领 引用 被引量：1
3
作者 Le Tan Pengcheng Huo +7 位作者 Peicheng Lin Yongze Ren Haocun Qi Lizhi Fang Yilin Wang Junfei Ou Yanqing Lu Ting Xu 《Light: Science & Applications》 SCIE EI CAS CSCD 2026年第2期567-577,共11页
The ability to precisely generate and manipulate three-dimensional(3D)vectorial optical fields is crucial for advancing applications in volumetric displays,secure data encoding,and optical information processing.Howev... The ability to precisely generate and manipulate three-dimensional(3D)vectorial optical fields is crucial for advancing applications in volumetric displays,secure data encoding,and optical information processing.However,conventional holographic techniques generally lack the capability to simultaneously control both light intensity and polarization within a volumetric region,thereby limiting the full realization of complex 3D vectorial light fields.Here,we present a metasurface-based platform for 3D vectorial holography that enables independent and programmable control over axial intensity and polarization profiles within structured beam arrays.By decomposing complex volumetric holographic targets into a dense array of non-diffracting beams—each governed by a tailored longitudinal response function—we achieve broadband,high-fidelity reconstruction of vectorial light fields encoded in both spatial intensity and polarization domains.Moreover,we demonstrate a vectorial encryption scheme that exploits the combined axial intensity and polarization degrees of freedom to realize secure,key-based optical information encoding.This approach provides a compact,integrable,and scalable solution for 3D vectorial holographic projection and volumetric vector beam shaping,offering a versatile platform for high-capacity optical storage,secure communication,and emerging quantum photonic technologies. 展开更多
关键词 optical information processinghoweverconventional D vectorial holography d vectorial optical fields secure data encoding holographic techniques metasurfaces volumetric displayssecure data encodingand
暂未订购 下载PDF
Security enhancement for double-random phase encryption using orthogonally encoded image and electronically synthesized key data 认领 引用
4
作者 In-Ho Lee Myungjin Cho 《Chinese Optics Letters》 SCIE EI CAS CSCD 2015年第1期22-26,共5页
We prot）ose a security-enhanced double-random phase encryption （DRPE） scheme using orthogonally encoded image and electronically synthesized key data to cope with the security problem of DRPE technique caused by fi... We prot）ose a security-enhanced double-random phase encryption （DRPE） scheme using orthogonally encoded image and electronically synthesized key data to cope with the security problem of DRPE technique caused by fixed double-random phase masks for eneryption. In the proposed scheme, we adopt the electronically synthesized key to frequently update the phase mask using a spatial light modulator, and also employ the orthogonal encoding technique to encode the image and electronically synthesized key data, which can enhance the security of both data. We provide detailed procedures for eneryption and decryption of the proposed scheme, and provide the simulation results to show the eneryption effects of the proposed scheme. 展开更多
关键词 data Security enhancement for double-random phase encryption using orthogonally encoded image and electronically synthesized key data
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈