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Error Exponent and Strong Converse for Quantum Soft Covering

IEEE Transactions on Information Theory 2024年第5期70卷 3499-3511页

作者： Cheng, Hao-Chung Gao, Li The Graduate Institute of Communication Engineering The Institute of Applied Mathematical Sciences National Taiwan University Center for Quantum Science and Engineering The Department of Electrical Engineering The Department of Mathematics Taipei10617 Taiwan National Center for Theoretical Sciences Physics Division Taipei10617 Taiwan Quantum Computing Center New Taipei City236 Taiwan University of Houston Department of Mathematics HoustonTX77204 United States

How well can we approximate a quantum channel output state using a random codebook with a certain size? In this work, we study the quantum soft covering problem, which uses a pairwise-independent random codebook to approximate the target output state of a quantum channel. We establish a one-shot error exponent bound and a one-shot strong converse bound on the approximation error measured in terms of the expected trace distance between the codebook-induced state and the true channel output state. When using independent and identically-distributed random codebook with a rate above the quantum mutual information I(X:B)ρ , we prove that the error decays exponentially with its error exponent expressed by the sandwiched Rényi information. On the other hand, when the rate of the codebook size is below the quantum mutual information, the error converges to one exponentially fast. Similar results are obtained using a random constant composition codebook, whereas the sandwiched Augustin information gives the error exponent. In addition to the above large deviation analysis, our results also hold in the moderate deviation regime. © 1963-2012 IEEE.

关键词： Signal encoding

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Convolutional Neural Network Approach for Emitter Association using Channel Identification in a MIMO System based on Propagation Features 59

Convolutional Neural Network Approach for Emitter Associatio...

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59th Annual Conference on Information Sciences and Systems, CISS 2025

作者： Talley, Michael F. Nyarko, Kofi Thompson, Willie L. Cole-Rhodes, Arlene Scott, Craig Johns Hopkins University Applied Physics Laboratory The Wireless Cyber Capabilities Group Laurel United States Morgan State University Electrical and Computer Engineering Baltimore United States

ISBN: (纸本)9798331513269

In this paper, an application of a 1D deep convolutional neural network (DCNN) and 4x4 1D DCNN Multi-channel Model (DCNN-MCM) was developed to predict the probability of a channel being associated with a given transmitter for each emitter in a 4x4 multi-input multi-output (MIMO) system. Counterintuitively, compared to the traditional approach to emitter association (EA), this research argues for the identification of received RF signals based on channel features (CFs) such as the channel impulse response (CIR) and transfer function (TF). Based on the CFs there are unique properties per transmit and receive pair that can be used to identify the different transmitters. More specifically, CFs are often defined by a wide sense stationary (WSS) stochastic process which gives them unique properties such as, being statistically independent and reciprocal for emitter association. Given these CFs, the received RF signals can be used to measure the clutter and objects surrounding the emitters. Safely assuming the surrounding clutter and objects are unique to each emitter, the estimation and tracking of this clutter provides a way of identifying what emitter is transmitting the observed signal. This method successfully classifies and identifies the emitters at 97.22% and 88.89% accuracy for the DCNN and DCNN-MCM respectively. This method was further compared with the accuracy of previous methods to test the validity of the approach and future improvements. © 2025 IEEE.

关键词： Convolutional neural networks

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Periodic Disturbance Compensation of Peristaltic Pump: A State Feedback Repetitive Controller-Based Approach

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Journal of The Institution of Engineers (India): Series B 2022年 1-7页

作者： Dey, Naiwrita Mondal, Ujjwal Sengupta, Anindita Department of Electronics & Communication Engineering RCC Institute of Information Technology Kolkata India Department of Applied Physics Calcutta University Kolkata India Department of Electrical Engineering Indian Institute of Engineering Science and Technology Shibpur Kolkata India

The work presented in this paper is about a modified design approach of a conventional repetitive controller with a state feedback loop for periodic disturbance compensation of peristaltic pump. It explores the inherent property of repetitive controller for periodic disturbance rejection, and the design problem is further extended to a robust stabilization problem in the presence of time-varying uncertainties. Repetitive and state-feedback controller gains are chosen by obtaining a linear-matrix-inequality from Lyapunov-Krasovskii functional. A three-roller rotary pump with a dc motor is chosen here as plant model for experimental data collection and system identification. The best model validation is done at 82.43% goodness of fit. Time-varying additive uncertainty is taken into consideration along with the nominal plant model obtained from system identification. Proposed controller design method is demonstrated and validated by performing MATLAB simulation considering peristaltic pump plant model. A comparative study has been carried out with the conventional repetitive controller to examine the robust property. It is observed that the proposed state feedback repetitive controller outperforms the conventional one for periodic disturbance rejection of the pump and thus desired tracking performance is achieved. © 2022, The Institution of Engineers (India).

关键词： Lyapunov functions

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Enhanced Photogating Gain in Scalable MoS2 Plasmonic Photodetectors via Resonant Plasmonic Metasurfaces

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ACS Nano 2023年第7期18卷 5446-5456页

作者： Syong, Wei-Ren Fu, Jui-Han Kuo, Yu-Hsin Chu, Yu-Cheng Hakami, Mariam Peng, Tzu-Yu Lynch, Jason Jariwala, Deep Tung, Vincent Lu, Yu-Jung Research Center for Applied Sciences Academia Sinica Taipei11529 Taiwan Department of Chemical System Engineering School of Engineering The University of Tokyo Tokyo113-8656 Japan Department of Physics National Taiwan University Taipei10617 Taiwan Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States

Absorption of photons in atomically thin materials has become a challenge in the realization of ultrathin, high-performance optoelectronics. While numerous schemes have been used to enhance absorption in 2D semiconductors, such enhanced device performance in scalable monolayer photodetectors remains unattained. Here, we demonstrate wafer-scale integration of monolayer single-crystal MoS2 photodetectors with a nitride-based resonant plasmonic metasurface to achieve a high detectivity of 2.58 × 1012 Jones with a record-low dark current of 8 pA and long-term stability over 40 days. Upon comparison with control devices, we observe an overall enhancement factor of >100;this can be attributed to the local strong EM field enhanced photogating effect by the resonant plasmonic metasurface. Considering the compatibility of 2D semiconductors and hafnium nitride with the Si CMOS process and their scalability across wafer sizes, our results facilitate the smooth incorporation of 2D semiconductor-based photodetectors into the fields of imaging, sensing, and optical communication applications. © 2024 American Chemical Society.

关键词： Plasmonics

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Trembling Motion of Exciton Polaritons Close to the Rashba-Dresselhaus Regime

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Physical Review Letters 2024年第11期133卷 116903页

作者： Wen Wen Jie Liang Huawen Xu Feng Jin Yuri G. Rubo Timothy C. H. Liew Rui Su Division of Physics and Applied Physics School of Physical and Mathematical Sciences Instituto de Energías Renovables School of Electrical and Electronic Engineering

We report the experimental observation of trembling quantum motion, or Zitterbewegung, of exciton polaritons in a perovskite microcavity at room temperature. By introducing liquid-crystal molecules into the microcavity, we achieve spinor states with synthetic Rashba-Dresselhaus spin-orbit coupling and tunable energy splitting. Under a resonant excitation, the polariton fluid exhibits clear trembling motion perpendicular to its flowing direction, accompanied by a unique spin pattern resembling interlocked fingers. Furthermore, leveraging the sizable tunability of energy gaps by external electrical voltages, we observe the continuous transition of polariton Zitterbewegung from relativistic (small gaps) to nonrelativistic (large gaps) regimes. Our findings pave the way for using exciton polaritons in the emulation of relativistic quantum physics.

关键词： Dresselhaus coupling Exciton polariton Quantum fluids & solids Rashba coupling Spin Hall effect Spin polarization Spin-orbit coupling Polariton condensate Semiconductors Cavity resonators Optical microscopy Photoluminescence

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MEMS-based twisted bilayer flat optics for multidimensional optical modulation and hyperimaging 14

MEMS-based twisted bilayer flat optics for multidimensional ...

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High Contrast Metastructures XIV 2025

作者： Tang, Haoning Lou, Beicheng Du, Fan Gao, Guangqi Zhang, Mingjie Ni, Xueqi Yacoby, Amir Cao, Yuan Fan, Shanhui Mazur, Eric School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States Department of Applied Physics Ginzton Laboratory Stanford University StanfordCA94305 United States Department of Electrical Engineering and Computer Science University of California at Berkeley BerkeleyCA94720 United States

Our MEMS-based twistoptics device enables precise control of interlayer gaps and twist angles in photonic crystals, offering high-accuracy, multidimensional light manipulation. This finding holds potential for applica... 详细信息

ISBN: (纸本)9781510685048

关键词： Nanophotonics

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Femto-Laser Processed Metasurface With Fano Response:Applications to a High Performance Refractometric Sensor

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Photonic Sensors 2025年第2期15卷 149-161页

作者： Mahmoud H.Elshorbagy Alejandro San-Blas Luis Miguel Sanchez-Brea Santiago M.Olaizola Jesús del Hoyo Angela Soria-Garcia Joaquin Andres-Porras Verónica Pastor-Villarrubia Javier Alda Physics Department Faculty of ScienceMinia UniversityEl Minia 61519Egypt Applied Optics Complutense Group Faculty of Optics and OptometryUniversidad Complutense de MadridMadrid28037Spain Ceit-Basque Research and Technology Alliance Donostia-San Sebastian 20018Spain Electrical and Electronic Engineering Department Universidad de NavarraDonostia-San Sebastian 20018Spain Applied Optics Complutense Group Optics DepartmentFaculty of PhysicsUniversidad Complutense de MadridMadrid 28040Spain

The practical development of compact modern nanophotonic devices relies on the availability of fast and low-cost fabrication techniques applicable to a wide variety of materials and *** have engraved a split grating geometry on stainless steel using femtosecond laser *** structure serves as a template to fabricate efficient plasmonic sensors,where a thick gold layer is grown conformally on *** scanning electron microscope(SEM)images confirm the generation of the split laser-induced periodic spatial *** optical reflectance of our sensors shows two dips corresponding to the excitation of surface plasmon resonances(SPRs)at two different ***,the asymmetric shape of these spectral responses reveals a strong and narrow Fano *** computational electromagnetism models accurately reproduce the reflectivity of the fabricated *** spectral responses of both the simulated and fabricated structures are fitted to the Fano model that coherently combines the narrow SPRs with the broad continuum background caused by *** parameters extracted from the fitting,such as the resonance wavelengths and line widths,are used to evaluate the performance of our device as a refractometric sensor for *** maximum sensitivity and figure of merit are 880 nm/RIU and 80 RIU-1,*** the compact design of our sensing device,its performance exceeds the theoretical maximum sensitivity of a classical Kretschmann setup.

关键词： Plasmonics refractometric sensing Fano resonances laser-induced periodic surface structures

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Reduced order model for a streamer discharge in air 37

Reduced order model for a streamer discharge in air

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37th International Conference on Lightning Protection, ICLP 2024

作者： Jayasinghe, Hasupama Arevalo, Liliana Morrow, Richard Cooray, Vernon Department of Electrical Engineering Uppsala University Uppsala Sweden Hitachi Energy - HVDC R&D Department Sweden Department of Applied Physics Sydney University Australia

ISBN: (纸本)9783800764174

Lightning involves complex physical processes in atmospheric discharges, beginning with the development of streamer discharges. Therefore, to understand the mechanism of streamer discharges, it is important to develop a computationally efficient and an accurate numerical model. In this paper, we present the results of a 1.5-dimensional (1.5D) streamer discharge simulation using the well-established explicit finite difference method (FD) with flux-corrected transport (FCT) method. The method was applied to a streamer propagating in a 1.25cm plane-plane air gap in standard atmospheric pressure and temperature. We compared our results to those from a previously published two-dimensional (2D) axisymmetric streamer paper which is focused on the same air gap but using different numerical approaches. One can observe that the electric field is obtained with good accuracy in this 1.5D numerical simulation. The streamer position and the streamer bridging time agree with 2D results. This model has the potential to deal with moving non-uniform meshes. © 2024 IEEE, © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Electric discharges

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Real space characterization of nonlinear hall effect in confined directions

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npj Computational Materials 2024年第1期10卷 2829-2835页

作者： Sheng Luo Chuang-Han Hsu Guoqing Chang Arun Bansil Hsin Lin Gengchiau Liang Department of Electrical and Computer Engineering National University of SingaporeSingapore 117576Singapore Institute of Physics Academia SinicaTaipei 11529Taipei Division of Physics and Applied Physics School of Physical and Mathematical SciencesNanyang Technological UniversitySingaporeSingapore Department of Physics Northeastern UniversityBostonMA 02115USA Industry Academia Innovation School National Yang-Ming Chiao Tung UniversityHsinchu City 300093Taipei

The nonlinear Hall effect(NLHE)is a phenomenon which could produce a transverse Hall voltage in a time-reversal-invariant ***,we report the real space characterizations of NLHE evaluated through quantum transport in TaIrTe4 nanoribbon without the explicit Berry curvature dipole(BCD)*** first characterize the NLHE in both transverse confined directions in global-level *** impact of quantum confinement in NLHE is evaluated by adjusting the width of ***,the probing area is trimmed to the atomic scale to evaluate the local texture,where we discover its patterns differ among the probed neighboring atomic *** analysis of charge distribution reveals the connections between NLHE’s local patterns and its non-centrosymmetric nature,rendering nearly an order of Hall voltage enhancement through probe *** work paves the way to expand the range of NLHE study and unveil its physics in more versatile material systems.

关键词： directions nonlinear confined

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Output Power Prediction of Grid Connected Photovoltaic System Using Dolphin Echolocation Algorithm 4

Output Power Prediction of Grid Connected Photovoltaic Syste...

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4th IEEE International Conference in Power engineering Applications, ICPEA 2024

作者： Yunus, Puteri Nor Ashikin Megat Kutty, Suhaili Beeran Atan, Nurmalessa Muhammad Universiti Teknologi MARA College of Electrical Engineering Selangor Shah Alam40450 Malaysia Faculty of Applied Sciences Universiti Teknologi MARA Department of Physics and Materials Malaysia

ISBN: (纸本)9798350344578

Photovoltaic (PV) technology converts solar energy into electricity. It is a sustainable and abundant energy source that offers efficient, clean, and reliable power generation. Numerous researchers have focused on optimizing PV systems to maximize their output. Neural networks, computational models capable of predicting trends, play a significant role in this field. This study introduces the Dolphin Echolocation Algorithm (DEA) for predicting the output power of grid-connected photovoltaic (GCPV) systems and compares different input models to identify the most favorable outcome. The optimization accuracy was evaluated using root mean square error (RMSE) and regression (R value). The primary objectives of this project are to identify the best output results by comparing four input models using the DEA. The obtained results show that the proposed DEA outperforms the basic artificial neural network (ANN) in terms of output performance. © 2024 IEEE.

关键词： Solar energy

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