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Automation and Computation (AUTOCOM), International Conference on

作者： Dilli Ganesh V Nitin Duklan Haider Alabdeli Prashant Johri T. Mohanraj R. Venkatesh Department of Mechanical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences-(SIMATS) Chennai India Uttaranchal University Dehradun India Department of Computers Techniques Engineering College of Technical engineering The Islamic University Najaf Iraq School of Computing Science and Engineering Galgotias University Greater Noida India Department of Computer Science Engineering Karpagam Academy of Higher Education Coimbatore India Department of Physics PSNA College of Engineering and Technology (Autonomous) Dindigul India

ISBN: (数字)9798331542375

ISBN: (纸本)9798331542382

Highly effective and reliable high-speed milling depends on the timely tool condition monitoring (TCM) check. In this paper, we propose a novel approach for tool condition prediction based on DQN with sensor fusion data. Both contact and non-contact sensors such as, vibrational, force, and acoustic emission sensors are utilized to gather data in real time during milling. The information collected by these sensors are integrated into a number of important features to be used in DQN model to learn the prediction of tool wear and possible failure. The DQN model is built to learn from the response of the milling environment characterized by tool condition in terms of wear and the remaining useful life (RUL). The results derived from experiments tend to show that the utilised DQNbased model has better quantitative values for accuracy, precision, recall, and F1-score than classical machine learning models like artificial neural networks (ANN), support vector regression (SVR), decision trees and etc. The integration of the sensor data enhances the overall prediction reliability, a factor which is highly achieved from the fusion of the data received from the vibration, force and acoustic emission sensors. The overall system proposed has significant application for real time implementation and demonstrates relatively short prediction time and is less sensitive to changes in the machining conditions. This proposed methodology is a feasible approach for improving tool life and reducing time needed for high speed milling applications.

关键词： Condition monitoring Vibrations Force Milling Artificial neural networks Sensor fusion Predictive models Acoustic emission Real-time systems Reliability

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Compressive quantum waveform estimation

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Physical Review A 2025年第2期111卷 022625-022625页

作者： Alex Tritt Joshua Morris Christopher C. Bounds Hamish A. M. Taylor James Saunderson L. D. Turner School of Physics and Astronomy Monash University Victoria 3800 Australia Present address: Vienna Center for Quantum Science and Technology Faculty of Physics University of Vienna 1010 Vienna Austria. Present address: 5 Physikalisches Institut Center for Integrated Quantum Science and Technology Universität Stuttgart Pfaffenwaldring 57 70569 Stuttgart Germany. Department of Electrical and Computer Systems Engineering Monash University Victoria 3800 Australia

Quantum waveform estimation, in which quantum sensors sample entire time series, promises to revolutionize the sensing of weak and stochastic signals, such as the biomagnetic impulses emitted by firing neurons. For long duration waveforms with rapid transients, regular quantum sampling becomes prohibitively resource intensive as it demands many measurements with distinct control and readout. In this paper, we demonstrate how careful choice of quantum measurements, along with the modern mathematics of compressive sensing, achieves quantum waveform estimation of sparse signals in a number of measurements far below the Nyquist requirement. We sense synthesized neural-like magnetic waveforms with radio-frequency-dressed ultracold atoms, retrieving successful waveform estimates with as few measurements as compressive theoretical bounds guarantee.

关键词： Waveform analysis

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Efficient coupling of topological photonic crystal waveguides based on transverse spin matching mechanism

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Nature Communications 2025年第1期16卷 1-7页

作者： Shi, Bojian Jia, Qi Li, Xiaoxin Zhang, Yanxia Li, Hang Gao, Yanyu Gao, Wenya Li, Xiaoyu Tang, Donghua Zhu, Tongtong Gao, Shan Yang, Jing Feng, Rui Sun, Fangkui Guan, Chunying Cao, Yongyin Qiu, Cheng-Wei Ding, Weiqiang Institute of Advanced Photonics School of Physics Harbin Institute of Technology Harbin China Department of Physics School of Science Northeast Forestry University Harbin China School of Physics Dalian University of Technology Dalian China College of Physics and Optoelectronic Engineering Harbin Engineering University Harbin China Department of Electrical and Computer Engineering National University of Singapore Singapore Singapore Collaborative Innovation Center of Extreme Optics Shanxi University Shanxi Taiyuan China

Topological photonic structures have great potential to revolutionize on-chip optical integration due to the merit of robust propagation. However, an equally important issue, i.e., the efficient input and output coupling of topological structure with other elements, has not been systematically addressed. Here, we reveal that the coupling of topological photonic structures does not follow the mode matching principle widely used before, but follows the principle of transverse spin matching (TSM). According to this mechanism, efficient coupling between a topological waveguide (TWG) and a strip waveguide (SWG) is designed theoretically and demonstrated experimentally. Theoretical and experimental transmission efficiencies of 96.3% and 94.2% are respectively obtained, which are much larger than those obtained before. The TSM enabled efficient topological structure coupling guarantees a high overall energy efficiency, and paves the way for compact topological photonic chips. © The Author(s) 2025.

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BERT4MIMO: A Foundation Model using BERT Architecture for Massive MIMO Channel State Information Prediction

arXiv

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arXiv 2025年

作者： Catak, Ferhat Ozgur Kuzlu, Murat Cali, Umit Department of Electrical Engineering and Computer Science University of Stavanger Rogaland Norway Department of Engineering Technology Old Dominion University NorfolkVA United States University of York School of Physics Engineering and Technology Heslington YorkYO10 5DD United Kingdom

Massive MIMO (Multiple-Input Multiple-Output) is an advanced wireless communication technology, using a large number of antennas to improve the overall performance of the communication system in terms of capacity, spectral, and energy efficiency. The performance of MIMO systems is highly dependent on the quality of channel state information (CSI). Predicting CSI is, therefore, essential for improving communication system performance, particularly in MIMO systems, since it represents key characteristics of a wireless channel, including propagation, fading, scattering, and path loss. This study proposes a foundation model inspired by BERT, called BERT4MIMO, which is specifically designed to process high-dimensional CSI data from massive MIMO systems. BERT4MIMO offers superior performance in reconstructing CSI under varying mobility scenarios and channel conditions through deep learning and attention mechanisms. The experimental results demonstrate the effectiveness of BERT4MIMO in a variety of wireless environments. © 2025, CC BY.

关键词： Fading channels

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High-purity single-photon generation based on cavity QED

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Physical Review Research 2025年第1期7卷 013251-013251页

作者： Seigo Kikura Rui Asaoka Masato Koashi Yuuki Tokunaga Department of Applied Physics Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan Faculty of Science and Engineering Waseda University 3-4-1 Okubo Shinjuku-ku Tokyo 169-8585 Japan Computer and Data Science Laboratories NTT Corporation Musashino 180-8585 Japan Photon Science Center Graduate School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-8656 Japan

We propose a scheme for generating a high-purity single photon on the basis of cavity QED. This scheme employs an atom as a four-level system and the structure allows the suppression of the reexcitation process due to the atomic decay, which is known to significantly degrade the single-photon purity in state-of-the-art photon sources using a three-level system. Our analysis shows that the reexcitation probability arbitrarily approaches zero without sacrificing the photon generation probability when increasing the power of a driving laser between two excited states. This advantage is achievable by using current cavity-QED technologies. Our scheme can contribute to developing distributed quantum computation or quantum communication with high accuracy.

关键词： Quantum computers

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Spectral width of maximum deposition eigenchannels in diffusive media

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Physical Review B 2025年第14期111卷 144202-144202页

作者： Rohin E. McIntosh Arthur Goetschy Nicholas Bender Alexey Yamilov Chia Wei Hsu Hasan Yılmaz Hui Cao Department of Physics Yale University New Haven Connecticut 06511 USA Institut Langevin ESPCI Paris PSL University CNRS F-75005 Paris France School of Applied and Engineering Physics Cornell University Ithaca New York 14850 USA Physics Department Missouri University of Science & Technology Rolla Missouri 65409 USA Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles California 90089 USA Institute of Materials Science and Nanotechnology National Nanotechnology Research Center (UNAM) Bilkent University 06800 Ankara Turkey

The maximum deposition eigenchannel provides the largest possible power delivery to a target region inside a diffusive medium by optimizing the incident wavefront of a monochromatic beam. It originates from constructive interference of scattered waves, which is frequency sensitive. We investigate the spectral width of the maximum deposition eigenchannels over a range of target depths using numerical simulations of a 2D diffusive system. Compared to tight focusing into the system, power deposition to an extended region is more sensitive to frequency detuning. The spectral width of enhanced delivery to a large target displays a rather weak, nonmonotonic variation with target depth, in contrast to a sharp drop of focusing bandwidth with depth. While the maximum enhancement of power deposited within a diffusive system can exceed that of power transmitted through it, this comes at the cost of a narrower spectral width. We investigate the narrower deposition width in terms of the constructive interference of transmission eigenchannels within the target. We further observe that the spatial field distribution inside the target region decorrelates more slowly with spectral detuning than the power decay of the maximum deposition eigenchannel. Additionally, absorption increases the spectral width of deposition eigenchannels, but the depth dependence remains qualitatively identical to that without absorption. These findings hold for any diffusive waves, including electromagnetic waves, acoustic waves, pressure waves, mesoscopic electrons, and cold atoms.

关键词： Wavefronts

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RDVC: Efficient Deep Video Compression with Regulable Rate and Complexity Optimization

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IEEE Transactions on Multimedia 2025年

作者： Wei, Xiaojie Lin, Jielian Xu, Jiawei Gao, Wei Zhao, Tiesong Putian University School of Mechanical Electrical & Information Engineering PutianFujian China Shenzhen Graduate School Peking University School of Electronic and Computer Engineering Shenzhen518055 China Fuzhou University Fujian Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information Engineering Fuzhou350108 China Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou350108 China Tsinghua University Department of Electronic Engineering Beijing100084 China

Deep video coding has paved a way to break through the performance bottleneck of reigning hybrid video coding. However, unlike hybrid video codecs, existing deep video codecs cannot offer both flexible rates and regulable complexities within one single codec, which limits their applications. In this paper, we propose a Regulable Deep Video Codec (RDVC) to address the above issue. First, we propose an Adaptive Feature Compression (AFC) network that generates variable rates while ensuring Rate-Distortion (RD) performance. The network introduces a two-stage coarse-to-fine rate adjustment that can be controlled by a user-specified rate level. Second, we propose a Spatio-Temporal Feature Propagation (STFP) mechanism to provide high-quality reference information for AFC process. Third, we also utilize slimmable convolutional components in our framework to adjust decoding complexity constrained by user configuration. Experimental results demonstrate that RDVC can adjust the codec structure flexibly according to different user configurations while maintaining advanced performance. On average, it reduces the bit-per-pixel (bpp) by 9.35%/58.12% while maintaining the same PSNR/MS-SSIM as the reference software VTM-13.2. Sourcecode is available at: https://***/WXJ0001/RDVC. © 2025 IEEE.

关键词： Signal distortion

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Quantum Hermitian conjugate and encoding unnormalized matrices

arXiv

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arXiv 2025年

作者： Zenchuk, Alexander I. Qi, Wentao Wu, Junde Federal Research Center of Problems of Chemical Physics and Medicinal Chemistry RAS Moscow reg. Chernogolovka142432 Russia Institute of Quantum Computing and Computer Theory School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China School of Mathematical Sciences Zhejiang University Hangzhou310027 China

We further develop the family of matrix-manipulation algorithms based on the encoding the matrix elements into the probability amplitudes of the pure superposition state of a certain quantum system. We introduce two extensions to these algorithms which allow (i) to perform Hermitian conjugation of matrices under consideration and (ii) to weaken the restriction to the absolute values of matrix elements unavoidably imposed by the normalization condition for a pure quantum state. Both these extensions are applied to the matrix multiplication algorithm. Controlled measurement of ancilla state is implemented to avoid the problem of small success probability in the measurement process. © 2025, CC BY.

关键词： Encoding (symbols)

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Remarks on controlled measurement and quantum algorithm for calculating Hermitian conjugate

arXiv

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arXiv 2025年

作者： Fel’dman, Edward B. Zenchuk, Alexander I. Qi, Wentao Wu, Junde Federal Research Center of Problems of Chemical Physics and Medicinal Chemistry RAS Moscow reg. Chernogolovka142432 Russia Institute of Quantum Computing and Computer Theory School of Computer Science and Engineering Sun Yat-sen University Guangzhou510006 China School of Mathematical Sciences Zhejiang University Hangzhou310027 China

We present two new aspects for the recently proposed algorithms for matrix manipulating based on the special encoding the matrix elements into the superposition state of a quantum system. First aspect is the controlled measurement which allows to avoid the problem of small access probability to the required ancilla state at the final step of algorithms needed to remove the garbage of the states. Application of controlled measurement to the earlier developed algorithm is demonstrated. The second aspect is the algorithm for calculating the Hermitian conjugate of an arbitrary matrix, which supplements the algorithms proposed earlier. The appropriate circuits are presented. © 2025, CC BY.

关键词： Quantum electronics

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Matrix encoding method in variational quantum singular value decomposition

arXiv

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arXiv 2025年

We propose the variational quantum singular value decomposition based on encoding the elements of the considered matrix into the state of a quantum system of appropriate dimension. This method doesn’t use the expansion of this matrix in terms of the unitary matrices. Conditional measurement is involved to avoid small success probability in ancilla measurement. The objective function for maximization algorithm can be obtained probabilistically via measurement of the state of a one-qubit subsystem. The circuit requires O(log N) qubits for realization of this algorithm whose depths is O(log N) as well. © 2025, CC BY.

关键词： Singular value decomposition

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