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2023 Photonics North, PN 2023

作者： Li, Michael Anderson, Paul Hawes, Kassandra Al Maruf, Rubayet Bajcsy, Michal University of Waterloo Department of Electrical and Computer Engineering Canada Institute of Quantum Computing University of Waterloo Canada University of Waterloo Department of Physics and Astronomy Canada

ISBN: (纸本)9798350326734

We demonstrate a digital electro-optic modulator (EOM) bias controller designed to maximize the extinction ratio of 100ps optical pulses, which are utilized for exciting single photons from quantum dots. The optical pulses formed by this EOM, continuous-wave tunable diode laser, and electronic pulse generator are an affordable and compact alternative to pulsed Ti: Sapphire Lasers. © 2023 IEEE.

关键词： Semiconductor quantum dots

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New Antenna Array Beamforming Techniques Based on Hybrid Convolution/Genetic Algorithm for 5G and Beyond Communications

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computer Modeling in engineering & Sciences 2024年第3期138卷 2749-2767页

作者： Shimaa M.Amer Ashraf A.M.Khalaf Amr H.Hussein Salman A.Alqahtani Mostafa H.Dahshan Hossam M.Kassem Electronics and Communications Engineering Department Higher Institute of Engineering and TechnologyKafr ElsheikhEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringMinia UniversityMiniaEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringTanta UniversityTantaEgypt Electronics and Electrical Communications Engineering Department Faculty of EngineeringHorus University EgyptNew DamiettaEgypt Department of Computer Engineering College of computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia School of Computing Mathematics and EngineeringCharles Sturt UniversityBathurstNSW2795Australia

Side lobe level reduction(SLL)of antenna arrays significantly enhances the signal-to-interference ratio and improves the quality of service(QOS)in recent and future wireless communication systems starting from 5G up to ***,it improves the array gain and directivity,increasing the detection range and angular resolution of radar *** study proposes two highly efficient SLL reduction *** techniques are based on the hybridization between either the single convolution or the double convolution algorithms and the genetic algorithm(GA)to develop the Conv/GA andDConv/GA,*** convolution process determines the element’s excitations while the GA optimizes the element *** M elements linear antenna array(LAA),the convolution of the excitation coefficients vector by itself provides a new vector of excitations of length N=(2M−1).This new vector is divided into three different sets of excitations including the odd excitations,even excitations,and middle excitations of lengths M,M−1,andM,*** the same element spacing as the original LAA is used,it is noticed that the odd and even excitations provide a much lower SLL than that of the LAA but with amuch wider half-power beamwidth(HPBW).While the middle excitations give the same HPBWas the original LAA with a relatively higher *** the increased HPBWof the odd and even excitations,the element spacing is optimized using the ***,the synthesized arrays have the same HPBW as the original LAA with a two-fold reduction in the ***,for extreme SLL reduction,the DConv/GA is *** this technique,the same procedure of the aforementioned Conv/GA technique is performed on the resultant even and odd excitation *** provides a relatively wider HPBWthan the original LAA with about quad-fold reduction in the SLL.

关键词： Array synthesis convolution process genetic algorithm(GA) half power beamwidth(HPBW) linear antenna array(LAA) side lobe level(SLL) quality of service(QOS)

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Progress towards quantum-enhanced microwave remote sensing and communication applications

Progress towards quantum-enhanced microwave remote sensing a...

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2024 United States National Committee of URSI National Radio Science Meeting, USNC-URSI NRSM 2024

作者： Bourassa, Jérôme Wilson, Christopher M. Qubic Inc. SherbrookeQCJ1K 0A5 Canada Institute for Quantum Computing Department of Electrical and Computer Engineering University of Waterloo ON Canada

ISBN: (纸本)9781946815194

RADAR and communications are vulnerable as noise and interference contaminate the received signals and produce errors limiting their resolution, their accuracy and speed. To answer the growing needs for more reliable and accurate microwave intelligence in an ever more complex electromagnetic environment, there is a growing need to develop innovative microwave sensors with greater signal sensitivity, selectivity and integrity. © 2024 IEEE. All rights reserved.

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Time Refraction and Time Reflection above Critical Angle for Total Internal Reflection

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Physical Review Letters 2024年第26期132卷 263802-263802页

作者： Lior Bar-Hillel Alex Dikopoltsev Amit Kam Yonatan Sharabi Ohad Segal Eran Lustig Mordechai Segev Department of Electrical and Computer Engineering Physics Department Institute of Quantum Electronics

We study the time reflection and time refraction of waves caused by a spatial interface with a medium undergoing a sudden temporal change in permittivity. We show that monochromatic waves are transformed into a pulse by the permittivity change, and that time reflection is enhanced at the vicinity of the critical angle for total internal reflection. In this regime, we find that the evanescent field is transformed into a propagating pulse by the sudden change in permittivity. These effects display enhancement of the time reflection and high sensitivity near the critical angle, paving the way to experiments on time reflection and photonic time crystals at optical frequencies.

关键词： Metamaterials Photonic crystals Photonics

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Error Exponent and Strong Converse for quantum Soft Covering

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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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First-order k·p methods for electron intersubband scatterings in quantum wells

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Physical Review B 2024年第16期110卷 165304页

作者： Rebecca Mac Dayan Ban Emmanuel Dupont Department of Electrical and Computer Engineering Waterloo Institute for Nanotechnology and Department of Electrical and Computer Engineering Quantum and Nanotechnologies Research Center

Using a first-order k·p Kane model, this work studies the impact of band-mixing, which gives rise to nonparabolicity, on electron intersubband scattering in zinc-blende semiconductor quantum well structures. The eight-band model considers both spin-flip and spin-conserving processes as well as a nonparabolic subband dispersion. We examine the effects of considering multiple band components in the total eigenstate, as well as their k-dependent properties, on LO phonon, impurity, and interface roughness (IFR) scattering. These k-dependent eigenstates account for the effects of varying wave function composition, spatial confinement and Rashba spin-orbit coupling. The angular dependencies of spin-conserving and spin-flip transitions are analyzed in the case of LO phonon emission scattering, and the heavy-hole interaction is shown to have a strong influence. The total (spin-conserving plus spin-flip) scattering is more concentrated in the forward direction than in the standard three-band k·p model. Furthermore, the neutrality of the scattering processes versus the spin-type of the initial state is discussed and is directly linked to the structural inversion asymmetry. The overall scattering rate is notably reduced when band-mixing is included within the framework of a first-order Kane model in comparison to a standard one-band k·p model. As an example, the total 2-to-1 LO phonon scattering decreases by up to ∼60% in narrow InAs/AlAsSb quantum wells (λ21∼2.7µm). Similarly significant reductions are also reported for IFR scattering. Interestingly, this slowing effect persists even for long wavelengths. Our results collectively emphasize the importance of band-mixing when modeling intersubband devices.

关键词： Electronic structure Photonics Spin-orbit coupling quantum wells k dot p method

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A Comparative Study of LSTM Models on Sentiment Analysis 6

A Comparative Study of LSTM Models on Sentiment Analysis

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6th International Conference on Computational Intelligence and Networks, CINE 2024

作者： Choudhury, Ritabrata Roy Dey, Soumik Paul, Prithwineel Kalinga Institute of Industrial Technology School of Computer Engineering Odisha Bhubaneswar India Institute of Engineering & Management University of Engineering & Management Centre of Excellence for Quantum Computing Department of Computer Science and Engineering West Bengal Kolkata India

ISBN: (纸本)9798331516796

In this paper, we conduct a comparative analysis of LSTM (Long Short-Term Memory) architectures, including GPU LSTM and Convolutional LSTM, for sentiment analysis tasks on an e-commerce dataset. The evaluation is based on precision, recall, and F1-score metrics for classifying positive and negative sentiments in product reviews. Both GPU LSTM and Convolutional LSTM models demonstrate strong performance in classifying positive sentiments. Moreover, these models achieve high precision, recall, and F1-score. However, they struggle with negative sentiment classification, exhibiting zero precision, recall, and F1-score for this class. Overall, both models achieve an accuracy of 0.97, indicating their effectiveness in sentiment analysis tasks. Furthermore, our study underscores the importance of further research to enhance the ability of the LSTM model to classify negative sentiments in e-commerce datasets accurately. © 2024 IEEE.

关键词： Convolutional LSTM E-commerce F1-score GPU LSTM LSTM Precision Recall Sentiment Analysis

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QRCODE: Quasi-Residual Convex Deep Network for Fusing Misaligned Hyperspectral and Multispectral Images

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IEEE Transactions on Geoscience and Remote Sensing 2024年 62卷 1-15页

作者： Lin, Chia-Hsiang Hsu, Chih-Chung Young, Si-Sheng Hsieh, Cheng-Ying Tai, Shen-Chieh National Cheng Kung University Department of Electrical Engineering Miin Wu School of Computing Tainan70101 Taiwan Institute of Data Science Miin Wu School of Computing National Cheng Kung University Tainan70101 Taiwan National Cheng Kung University Institute of Computer and Communication Engineering Department of Electrical Engineering Tainan70101 Taiwan Institute of Data Science National Cheng Kung University Tainan70101 Taiwan

Considering that hyperspectral image (HSI) is often of lower spatial resolution when compared to multispectral image (MSI), an economical approach for obtaining a high-spatial-resolution (HSR) HSI is to fuse the acquired HSI and MSI, thereby greatly facilitating the subsequent material identification and classification in satellite remote sensing. As satellite-acquired HSI and MSI are often misaligned, the proposed deep neural network does not require the input HSI/MSI to be spatially co-registered, making the challenging fusion network design even more difficult. In this study, we propose a streamlined and efficient convex model integrated into the subnetwork, which obviates the need for complex network structures in learning spatial-spectral relationships, effectively guiding the quasi-residual learning task in our alignment-free fusion network. The convex subnetwork is a low-rank model that leverages the convex geometric structure implicitly embedded in the hyperspectral signature space. To address the misalignment between HSI and MSI effectively, we introduce a novel shifted window attention module (SWAM) that exploits the neighboring correlation in the feature domain, significantly enhancing the performance and stability of the fusion task. Capitalizing on the redundancy among spectrums, we employ grouped convolution to decrease the computational complexity without causing additional performance degradation. The proposed quasi-residual convex deep (QRCODE) network demonstrates the state-of-the-art performance in alignment-free HSI/MSI fusion tasks. © 1980-2012 IEEE.

关键词： Deep neural networks

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Maximizing Profit of the Service Providers through Efficient Content Placement and Retrieval in an IoT-enabled Edge-Cloud Platform 18

Maximizing Profit of the Service Providers through Efficient...

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18th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2024

作者： Gandhi, Preet Mahanta, Abhishriya Ghose, Manojit Sahu, Aryabartta Indian Institute of Technology Department of Computer Science and Engineering Guwahati India Indian Institute of Technology School of Computing and Electrical Engineering Mandi India Indian Institute of Information Technology Department of Computer Science and Engineering Guwahati India

ISBN: (纸本)9798350391725

In today's 5G era, the amount of data generated by the Internet of Things (IoT) devices is enormous. Data is processed and stored in the cloud under a traditional cloud computing architecture, and real-time processing and retrieval of these data is time-consuming. Therefore, an edge-cloud framework comes in handy where the content generated is placed on the edge nodes of the network, and it can reach the endusers in a time-bound manner. A majority of the previous research works on content placement under the edge-cloud architecture primarily aimed at improving the latency of the system. However, the approach proposed in this paper aims to maximize the profit of the service provider by effectively placing the content in a hierarchically organized edge-cloud network. We propose two strategies and compare them with random and greedy approaches for both synthetic and real data sets. The experimental results demonstrate the effectiveness of the proposed strategies, and the profit of the service providers increases by 38.81% (maximum) and 10.51% (on average) for the synthetic dataset and by 65.74% (maximum) and 22.83% (on average) for the real-world dataset when compared with the greedy approach. © 2024 IEEE.

关键词： Cloud platforms

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Exciton-Polariton in Single-Walled Carbon Nanotubes with Different Microcavity Structures 16

Exciton-Polariton in Single-Walled Carbon Nanotubes with Dif...

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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Yang, HeeBong Kim, Na Young Institute for Quantum Computing Waterloo Institute for Nanotechnology University of Waterloo Department of Electrical and Computer Engineering 200 University Ave. West WaterlooONN2L 3G1 Canada

Exciton-polariton studies are performed in different microcavity structures with sorted single-walled carbon nanotubes. High vacuum Rabi splitting is observed at room-temperature with metal mirror, and hybrid metal-DB... 详细信息

ISBN: (纸本)9798350372076

关键词： Single-walled carbon nanotubes (SWCN)

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