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Robust optimization for quantum reinforcement learning control using partial observations

Physical Review A 2022年第6期105卷 062443-062443页

作者： Chen Jiang Yu Pan Zheng-Guang Wu Qing Gao Daoyi Dong State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control College of Control Science and Engineering Zhejiang University Hangzhou 310027 China The School of Automation Science and Electrical Engineering and Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University Beijing 100191 China The School of Engineering and Information Technology University of New South Wales Canberra Australian Capital Territory 2600 Australia

The current quantum reinforcement learning control models often assume that the quantum states are known a priori for control optimization. However, full observation of the quantum state is experimentally infeasible due to the exponential scaling of the number of required quantum measurements on the number of qubits. In this paper, we investigate a robust reinforcement learning method using partial observations to overcome this difficulty. This control scheme is compatible with near-term quantum devices, where the noise is prevalent and predetermining the dynamics of the quantum state is practically impossible. We show that this simplified control scheme can achieve similar or even better performance when compared to the conventional methods relying on full observation. We demonstrate the effectiveness of this scheme on examples of quantum state control and the quantum approximate optimization algorithm (QAOA). It has been shown that high-fidelity state control can be achieved even if the noise amplitude is at the same level as the control amplitude. Besides, an acceptable level of optimization accuracy can be achieved for a QAOA with a noisy control Hamiltonian. This robust control optimization model can be trained to compensate for the uncertainties in practical quantum computing.

关键词： Machine learning Quantum control Quantum engineering

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Magnetoresistance oscillations in vertical junctions of 2D antiferromagnetic semiconductor CrPS4

arXiv

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arXiv 2024年

作者： Shi, Pengyuan Wang, Xiaoyu Zhang, Lihao Song, Wenqin Yang, Kunlin Wang, Shuxi Zhang, Ruisheng Zhang, Liangliang Taniguchi, Takashi Watanabe, Kenji Yang, Sen Zhang, Lei Wang, Lei Shi, Wu Pan, Jie Wang, Zhe MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter Shaanxi Province Key Laboratory of Advanced Materials and Mesoscopic Physics School of Physics Xi'an Jiaotong University Xi'An710049 China State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Xi'An710049 China Research Center for Materials Nanoarchitectonics National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Research Center for Electronic and Optical Materials National Institute for Materials Science 1-1 Namiki Tsukuba305-0044 Japan Key Laboratory of Quantum Materials and Devices of Ministry of Education School of Physics Southeast University Nanjing211189 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai201210 China

Magnetoresistance (MR) oscillations serve as a hallmark of intrinsic quantum behavior, traditionally observed only in conducting systems. Here we report the discovery of MR oscillations in an insulating system, the vertical junctions of CrPS4 which is a two dimensional (2D) A-type antiferromagnetic semiconductor. Systematic investigations of MR peaks under varying conditions, including electrode materials, magnetic field direction, temperature, voltage bias and layer number, elucidate a correlation between MR oscillations and spin-canted states in CrPS4. Experimental data and analysis point out the important role of the in-gap electronic states in generating MR oscillations, and we proposed that spin selected interlayer hopping of localized defect states may be responsible for it. Our findings not only illuminate the unusual electronic transport in CrPS4 but also underscore the potential of van der Waals magnets for exploring interesting phenomena. Copyright © 2024, The Authors. All rights reserved.

关键词： Van der Waals forces

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Augmenting photoluminescence of monolayer MoS_(2) using high order modes in a metal dimer-on-film nanocavity

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Photonics Research 2021年第4期9卷 501-506页

作者： Shiyin Cao Liping Hou Qifa Wang Chenyang Li Weixing Yu Xuetao Gan Kaihui Liu Malin Premaratne Fajun Xiao Jianlin Zhao MOE Key Laboratory of Material Physics and Chemistry under Extraordinary Conditions and Shaanxi Key Laboratory of Optical Information TechnologySchool of Physical Science and TechnologyNorthwestern Polytechnical UniversityXi’an 710129China Key Laboratory of Spectral Imaging Technology of Chinese Academy of Sciences Xi’an 710119China State Key Laboratory for Mesoscopic Physics Collaborative Innovation Centre of Quantum MatterSchool of PhysicsPeking UniversityBeijing 100871China Advanced Computing and Simulation Laboratory(AχL) Department of Electrical and Computer Systems EngineeringMonash UniversityClaytonVIC 3800Australia

Plasmonic particle-on-film nanocavities,supporting gap modes with ultra-small volume,provide a great solution to boost light–matter interactions at the *** this work,we report on the photoluminescence(PL)enhancement of monolayer MoS_(2) using high order modes of an Au nanosphere dimer-on-film nanocavity(DoFN).The high order plasmon modes,consisting of two bonding quadrupoles in the dimer and their images in the Au film,are revealed by combining the polarization-resolved scattering spectra with the numerical *** integrating the monolayer MoS_(2) into the DoFN,these high order modes are used to enhance PL intensity through simultaneously boosting the absorption and emission processes,producing a 1350-fold enhancement *** opens an avenue to enhance the light–matter interaction with high order plasmon modes and may find applications in future optoelectronics and nanophotonics devices.

关键词： cavity high integrating

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A Note on Rotation Symmetric S-boxes

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Journal of Systems Science & Complexity 2019年第5期32卷 1460-1472页

作者： GAO Guangpu LIN Dongdai LIU Wenfen State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450002China State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of SciencesBeijing 100093China State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of SciencesBeijing 100093China Guangxi Key Laboratory of Cryptogpraphy and Information Security Guilin University of Electronic TechnologyGuilin 541004China

This paper is twofold. The first is devoted to study a class of quadratic rotation symmetric S-boxes(RSSBs) which was presented by Gao G, et al., Constructions of quadratic and cubic rotation symmetric bent functions, IEEE Transactions on Information Theory, vol. 58, no. 7, pp. 4908 –4913, 2012, by decomposing a class of cubic rotation symmetric bent functions. The authors obtain its nonlinearity and differential uniformity of such class of S-boxes. In particular, the compositional inversion of the class of rotation symmetric S-boxes is also presented. Then the authors introduce a steepest-descent-like search algorithm for the generation of RSSBs. The algorithm finds 5,6,7,8-bit RSSBs with very good cryptographic properties which can be applied in designing cryptographical algorithms.

关键词： Dual Keccak permutation rotation symmetry S-box

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Traditional Chinese Medicine Constitution and Clinical Data Association with Machine Learning for Prediction of Spontaneous Abortion

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Clinical Complementary Medicine and Pharmacology 2022年第2期2卷 1-9页

作者： Yan Liu Yangyang Geng Liuqing Yang Shate Xiang Qiaotong Wang Lanyawen Hu Ping Ye The Second clinical medical college Zhejiang Chinese Medical UniversityHangzhou 310053ZhejiangChina State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001HenanChina Tongde hospital of Zhejiang province Hangzhou 310012ZhejiangChina Zhejiang Chinese medical university Hangzhou 310053ZhejiangChina

Background:Early prevention of Spontaneous Abortion(SA)is essential for the treatment of recurrent spontaneous ***:In this retrospective study,a variety of machine learning methods were used to develop predictive models and diagnose the potential risk of ***:A total of 663 pregnant women participated in the case-control study,586 of which were SA patients and 77 were normal parturition *** research data included 25 features of Traditional Chinese Medicine(TCM)constitution and clinical data related to *** work utilized 8 machine learning techniques including logistic regression,gradient boosting decision tree,k-nearest neighbor,classification and r-egression tree,multilayer perceptron,support vector machine,random forest and XG-Boost to predict *** performances of the applied models were evaluated by using the method of 10-fold cross-validation and by computing the diagnostic test characteristics,including accuracy,precision,recall,𝐹1 score,and the AUC of ROC ***:The𝐹1 scores of these eight machine learning techniques were all above 97.5%.Among them,gradient boosting decision tree had the best prediction result on *** accuracy,precision,recall,𝐹1 score,and the AUC of ROC curve of gradient boosting decision tree were 97.9%,99%,98.6%,98.8%,and 97.3%,***:The paper has accurately predicted the risk of SA combined with TCM constitution and clinical data.

关键词： Spontaneous abortion Machine learning TCM constitution Clinical data Prediction modeling

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Anti-reconnaissance Model of Host Fingerprint Based on Virtual Node

Anti-reconnaissance Model of Host Fingerprint Based on Virtu...

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作者： Tao Zhang Bin Lu Ding Li Kang He Yuefei Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University

Aiming at the problem of insufficient defense ability of fingerprint detection,the anti-reconnaissance model of host fingerprint based on virtual node is *** model constructs periodically reconfigurable virtual nodes,dynamically camouflages the fingerprint information of the host to deceive the detector,and redirect attack traffic targeting virtual nodes to honeypots that can capture and analyze attack ***,as an active defense technology,can effectively improve the model's defense *** paper introduces probabilistic models for the defense model to provide a deeper understanding of the theoretical effect their parameters have for cybersecurity,which quantifies the impact of different parameters on the probability of attack success,such as the number of probes,number of honeypot mapping rules,the virtual node deception rate,the honeypot detection rate and allowable ***,our prototype system using Software Defined Network(SDN) and Data Plane Development Kit(DPDK) verifies the effectiveness of the model against reconnaissance.

关键词： red Anti-reconnaissance Model of Host Fingerprint Based on Virtual Node Virtual Model

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Virtual Sample Generation for Retraining the Malicious PDF Detection Model

Virtual Sample Generation for Retraining the Malicious PDF D...

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作者： Kang HE Long LIU Dong-zhe LU Yuefei ZHU State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University

PDF files are adopted for launching cyberattacks because of their popularity and the increasing number of relative *** learning algorithms are developed to detect the maliciousness of PDF *** the exploits of new vulnerabilities occur,the assumption that the training data and the test data share the same distribution does not hold and the ability of origin model to detect exploits of new vulnerabilities weakens *** a real environment,it is very difficult to obtain numerous samples of exploits with the same *** the machine learning models are difficult to be improved by *** sample generation could be used to generate sufficient virtual samples by small sample sets to improve the generalization of the existing model.A new VSG algorithm based on prior knowledge is proposed in this paper,which performs better than other VSG algorithms in improving the detection on exploits of new vulnerabilities.

关键词： Virtual Sample Generation for Retraining the Malicious PDF Detection Model PDF Model

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Memory Error Detection Based on Dynamic Binary Translation

Memory Error Detection Based on Dynamic Binary Translation

引用

International Conference on Communication Technology (ICCT)

作者： Hang Xu Wei Ren Zimian Liu Jiajun Chen Junhu Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

Dynamic memory error detection technology is widely utilized in locating and mitigating memory-corruption vulnerabilities. High false negative in existing technologies impairs the effectiveness of detection, especially when the detector has no source code. We proposed a dynamic memory error detection method based on dynamic binary translation. It realized the detection by combining a call stack tracing method and an IR language level memory error detection method. Experiments show that the detection success rate of this method in the heap and stack memory destruction is more than 80%.

关键词： Software Instruments Memory management Runtime Static analysis Aerospace electronics Security

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Research on Performance Optimization for Sparse Matrix-Vector Multiplication in Multi/Many-core Architecture

Research on Performance Optimization for Sparse Matrix-Vecto...

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Information Technology and Computer Application (ITCA), International Conference on

作者： Qihan Wang Mingliang Li Jianming Pang Di Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing zhengzhou China

Sparse matrix vector multiplication is an important and commonly used computing kernel in scientific computing. Irregular arrangement of non zeros in sparse matrix leads to irregular memory access pattern, which in turn affects the running speed. In the past ten years, there have been many optimization methods of sparse matrix vector multiplication based on different ideas and techniques. In this paper, the commonly used performance optimization techniques of sparse matrix vector multiplication in multi/many-core architecture are comprehensively investigated. We classify technical methods according to their common characteristics, and discuss the problems encountered by researchers of various methods. In addition, We provide a typical large sparse matrix set for testing. This paper also provides a theoretical basis for our subsequent sparse matrix calculation in Sunway TaihuLight archiecture.

关键词： Scientific computing Memory management Optimization methods Bandwidth Sparse matrices Kernel Information technology

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Improved Method for Dynamic Heterogeneous Redundant Model Database

Improved Method for Dynamic Heterogeneous Redundant Model Da...

引用

IEEE Information Technology and Mechatronics engineering Conference (ITOEC)

作者： Yuan Tang Zheng Zhang YuFeng Zhao ZhenWu Liu State key laboratory of mathematics engineering and advanced computing Zhengzhou China

ISBN: (数字)9781728143231

ISBN: (纸本)9781728143248

The correctness and reliability of data is the most basic element of data storage system. It is primary for data security to ensure the correctness and reliability of data. The dynamic heterogeneous redundancy model has received more and more attention in recent years, and it has a good effect in defending known and unknown vulnerabilities. However, In the process of applying the model to database security, the researchers have found the inconsistent reads and writes of heterogeneous databases resulting in the difficulty of accurate data synchronization. To solve this problem, an improved method of heterogeneous database operation language decision merging is proposed, and the correctness, security and effectiveness of this means is tested. The experimental results show that this method can ensure the security of the system and reduce the false alarm.

关键词： Databases Data models Synchronization Memory Web servers Encryption

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