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Quantum position verification in bounded-attack-frequencymodel

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Science China(Physics,Mechanics & Astronomy) 2016年第11期59卷 17-27页

作者： fei Gao Bin liu QiaoYan wen State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications College of Computer Science Chongqing University

In 2011, Buhrman et al. proved that it is impossible to design an unconditionally secure quantum position verification(QPV)protocol if the adversaries are allowed to previously share unlimited entanglements. Afterwards, people started to design secure QPV protocols in practical settings, e.g. the bounded-storage model, where the adversaries' pre-shared entangled resources are supposed to be limited. Here we focus on another practical factor that it is very difficult for the adversaries to perform attack operations with unlimitedly high frequency. Concretely, we present a new kind of QPV protocols, called non-simultaneous *** we prove the security of a specific non-simultaneous QPV protocol with the assumption that the frequency of the adversaries' attack operations is bounded, but no assumptions on their pre-shared entanglements or quantum storage. Actually, in our nonsimultaneous protocol, the information whether there comes a signal at present time is also a piece of command. It renders the adversaries "blind", that is, they have to execute attack operations with unlimitedly high frequency no matter whether a signal arrives, which implies the non-simultaneous QPV is also secure in the bounded-storage model.

关键词： quantum cryptography position-based cryptography quantum position verification

Speech Magnitude Spectrum Reconstruction from MFCCs Using Deep Neural Network

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Chinese Journal of Electronics 2018年第2期27卷 393-398页

作者： JIANG wenbin liu Peilin wen fei Department of Electronic Engineering Shanghai Jiao Tong University Air Control and Navigation Institution Air Force Engineering University

This work proposes a Deep neural network(DNN) based method for reconstructing speech magnitude spectrum from Mel-frequency cepstral coefficients(MFCCs). We train a DNN using MFCC vectors as input and the corresponding speech magnitude spectrum as desired output. Exploiting the strong inference power of DNN, the proposed method has the capability to accurately estimate the speech magnitude spectrum even from truncated MFCC vectors. Experiments on TIMIT corpus demonstrate that the proposed method achieves significantly better performance compared with traditional methods.

关键词： Deep neural network(DNN) Mel-frequency cepstral coefficients(MFCCs) Spectrum reconstruction Speech reconstruction

QKD-based quantum private query without a failure probability

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Science China(Physics,Mechanics & Astronomy) 2015年第10期58卷 12-17页

作者： liu Bin GAO fei HUANG Wei wen QiaoYan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications College of Computer Science Chongqing University

In this paper, we present a quantum-key-distribution(QKD)-based quantum private query(QPQ) protocol utilizing single-photon signal of multiple optical pulses. It maintains the advantages of the QKD-based QPQ, i.e., easy to implement and loss tolerant. In addition, different from the situations in the previous QKD-based QPQ protocols, in our protocol, the number of the items an honest user will obtain is always one and the failure probability is always zero. This characteristic not only improves the stability(in the sense that, ignoring the noise and the attack, the protocol would always succeed), but also benefits the privacy of the database(since the database will no more reveal additional secrets to the honest users). Furthermore, for the user's privacy, the proposed protocol is cheat sensitive, and for security of the database, we obtain an upper bound for the leaked information of the database in theory.

关键词： quantum private query quantum key distribution single-photon signal

Highly responsive broadband Si-based MoS2 phototransistor on high-k dielectric

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Science China(Information Sciences) 2024年第6期67卷 180-189页

作者： Ali IMRAN Xin HE jiwei liu Qinghai ZHU Muhammad SULAMAN fei XUE Mingsheng XU Deren YANG College of Integrated Circuits State Key Laboratory of Silicon and Advanced Semiconductor MaterialsZhejiang University ZJU-Hangzhou Global Scientific and Technological Innovation Centre School of Materials Science and Engineering State Key Laboratory of Silicon and Advanced Semiconductor MaterialsZhejiang University Beijing Key Lab of Nanophotonics and Ultrafine Optoelectronic Systems School of PhysicsBeijing Institute of Technology

The demand for photodetectors and image sensors has grown exponentially in the past decade in biomedical, security surveillance, robotics, automotive, quality control, image recognition, and military applications, due to their superior quality, broadband detection, lower noise, and economic viability. Here,we report a MoS2channel-based phototransistor over an HfO2/n-Si substrate isolated by an h BN layer. The high photoresponse is achieved through the integration of the photoconduction, photogating, and mobility enhancement process by utilizing excellent features of MoS2, HfO2/Si, and h BN. The capacitive coupling of the photogenerated carriers by high-k dielectric HfO2leads to modulation of MoS2Fermi level due to electrostatic doping. Furthermore, the MoS2also contributes to the photogeneration of carriers due to its semiconducting nature, leading to additional photocurrent. Ultimately, the combination of photogating,photoconduction, and swift carrier extraction with remarkable mobility of 11.65 cm2· V-1· s-1results in high responsivity, external quantum efficiency, and detectivity of 4.5 × 10～8A · W-1, 0.72 × 10～6, and 6.20× 1016Jones at 266 nm illumination, respectively. The device also demonstrates broadband photoresponse from 266–1000 nm wavelengths. The high responsivity distinguishes the potential of our device for the future of optoelectronics and broadband image sensing applications.

关键词： photogating photoconduction two-dimensional materials high k dielectric carrier scattering phototransistor

PROTEIN ADSORPTION AND CELL ADHESION ON RGD-FUNCTIONALIZED SILICON SUBSTRATE SURFACES

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Chinese Journal of Polymer Science 2013年第3期31卷 495-502页

作者： Wei-fang Tong Xiao-li liu fei Pan 武照强 wen-wen Jiang Jiangsu Key Laboratory of Advanced Functional Polymer Design and Application Department of Polymer Science and EngineeringCollege of ChemistryChemical Engineering and Materials ScienceSoochow University College of Chemistry and Material Sciences South-Central University for Nationalities

A method was developed to modify silicon surfaces with good protein resistance and specific cell attachment. A silicon surface was initially deposited using a block copolymer of N-vinylpyrrolidone （NVP） and 2-hydroxyethyl methacrylate （HEMA）（PVP-b-PHEMA） film through surface-initiated atom transfer radical polymerization and then further immobilized using a short arginine-glycine-aspartate （RGD） peptide. Our results demonstrate that the RGD-modified surfaces （Si-RGD） can suppress non-specific adsorption of proteins and induce the adhesion of L929 cells. The Si-RGD surface exhibited higher cell proliferation rates than the unmodified silicon surface. This research established a simple method for the fabrication of dual-functional silicon surface that combines antifouling and cell attachment promotion.

关键词： Cell adhesion Protein adsorption RGD Poly(N-vinylpyrrolidone) ATRP.

Separation of tungsten and molybdenum with solvent extraction using functionalized ionic liquid tricaprylmethylammonium bis(2,4,4-trimethylpentyl)phosphinate

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International Journal of Minerals,Metallurgy and Materials 2021年第11期28卷 1769-1776页

作者： fei Cao Wei Wang De-zhou Wei wen-gang liu School of Resource and Civil Engineering Northeastern UniversityShenyang 110819China Zhengzhou Institute of Multipurpose Utilization of Mineral Resources CAGSZhengzhou 450006China Key Laboratory for Polymetallic Ores’Evaluation and Utilization MNRZhengzhou 450006China

Functionalized ionic liquids(FILs)as extractants were employed for the separation of tungsten and molybdenum from a sulfate solution for the first *** effects of initial pH,extractant concentration,metal concentrations in the feed were comprehensively *** results showed that tricaprylmethylammonium bis(2,4,4-trimethylpentyl)phosphinate([A336][Cyanex272])could selectively extract W over Mo at an initial pH value of 5.5;the best separation factorβ_(W/Mo) of 25.61 was obtained for a solution with low metal concentrations(WO3:2.49 g/L,Mo:1.04 g/L).The[A336][Cyanex272]system performed effectively for solutions of different W/Mo molar ratios and different metal ion concentrations in the *** chemical reaction between[A336][Cyanex272]and W followed the ion association mechanism,which was further proved by the Fourier-transform infrared(FTIR)spectra of loaded[A336][Cyanex272]and the free *** stripping experiments indicated that 95.48%W and 100.00%Mo were stripped using a 0.20 mol/L sodium hydroxide ***,the selective extractions of W and Mo from two synthetic solutions of different high metal concentrations were obtained;the separation factorβW/Mo reached 23.24 and 17.59 for the first and second solutions,*** results suggest the feasibility of[A336][Cyanex272]as an extractant for the separation of tungsten and molybdenum.

关键词： tungsten molybdenum ionic liquid separation solvent extraction

Achieving Safe Deep Reinforcement Learning via Environment Comprehension Mechanism

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Chinese Journal of Electronics 2021年第6期30卷 1049-1058页

作者： PENG Pai ZHU fei liu Quan ZHAO Peiyao WU wen School of Computer Science and Technology Soochow University

Deep reinforcement learning(DRL), which combines deep learning with reinforcement learning, has achieved great success recently. In some cases, however,during the learning process agents may reach states that are worthless and dangerous where the task fails. To address the problem, we propose an algorithm, referred as Environment comprehension mechanism(ECM) for deep reinforcement learning to attain safer decisions. ECM perceives hidden dangerous situations by analyzing object and comprehending the environment, such that the agent bypasses inappropriate actions systematically by setting up constraints dynamically according to states. ECM, which calculates the gradient of the states in Markov tuple, sets up boundary conditions and generates a rule to control the direction of the agent to skip unsafe states. ECM is able to be applied to basic deep reinforcement learning algorithms to guide the selection of actions. The experiment results show that the algorithm promoted safety and stability of the control tasks.

关键词： multi-agent systems deep learning (artificial intelligence) Markov tuple agent direction Markov processes basic deep reinforcement learning algorithms environment comprehension mechanism safety boundary conditions ECM

Controlling the key by choosing the detection bits in quantum cryptographic protocols

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Science China(Information Sciences) 2015年第11期58卷 200-210页

作者： liu Bin GAO fei HUANG Wei LI Dan wen QiaoYan State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications College of Computer Science Chongqing University

Eavesdropping detection is an indispensable process of most quantum cryptographic protocols. By publishing and comparing part of the shared bits, called as detection bits, the participants can check whether there exists an eavesdropper. Generally, the detection bits are chosen randomly. Consequently, the secret bits, i.e., the rest bits, are also random. Then, what if the detection bits are chosen non-randomly? Can the participant who chooses the detection bits make the secret bits to be a predetermined string he expected?This paper focuses on the participants’ key control capability when they choose the detection bits selectively in two-party quantum communication protocols. Concretely, we analyze the participants’ key control capability in different situations of different proportions of the detection bits. And we prove that the participants can predetermine, with high probability, any part of the secret bits of which the length is smaller than that of the detection bits. The above result has various potential applications in quantum cryptographic ***, utilizing this non-random selection of the detection bits, one can realize the function of a deterministic quantum key distribution protocol through a random one if the number of the detection bits is not smaller than that of the secret bits. What is more, we find that quite a few quantum key agreement protocols cannot guarantee the fairness of the key in the sense that the participant who chooses the detection bits can control the key somewhat.

关键词： eavesdropping detection deterministic quantum key distribution quantum key agreement quantum information quantum cryptography

Excellent energy storage performance of niobate-based glass-ceramics via introduction of nucleating agent

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Journal of Materiomics 2022年第4期8卷 763-771页

作者： Changshuai liu Shufeng Xie Hairui Bai fei Yan Tongtong Fu Bo Shen jiwei Zhai Key Laboratory of Advanced Civil Engineering Materials of Ministry of Education Functional Materials Research LaboratorySchool of Materials Science and EngineeringTongji UniversityShanghai201804China

For glass-ceramics, how to realize the collaborative optimization of BDS and permittivity is the key toimprove the energy storage density. In this work, ZrO2 is introduced into BPKNAS glass-ceramics asnucleating agent to promote crystal development of glass-ceramics and then achieve high *** 1.5 mol% ZrO2 is added, the glass-ceramics have the highest permittivity (~128.59) and meanwhilepossess high BDS (1948.90 kV/cm) due to the dense microstructure. Therefore, BPKNAS-1.5ZrO2 glass-ceramics has the highest theoretical energy storage density (21.62 J/cm3). Moreover, the permittivityvariation of BPKNAS-1.5ZrO2 glass-ceramics is less than 6 % in the wide temperature range from 80 to300 C, showing excellent temperature stability. In addition, BPKNAS-1.5ZrO2 glass-ceramics possessesultrahigh power density, which reaches up to 382.40 MW/cm3 in overdamped circuit. The above evi-dence shows that BPKNAS-1.5ZrO2 glass-ceramics with ultrahigh energy storage density and powerdensity is very competitive in the field of energy storage applications.

关键词： Glass-ceramics Nucleating agent Permittivity Energy storage density