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arXiv 2021年

作者： Huang, Chen He, Ruisi Ai, Bo Molisch, Andreas F. Lau, Buon Kiong Haneda, Katsuyuki Liu, Bo Wang, Cheng-Xiang Yang, Mi Oestges, Claude Zhong, Zhangdui The Purple Mountain Laboratories Nanjing211111 China The National Mobile Communications Research Laboratory School of Information Science and Engineering Southeast University Nanjing210096 China The State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China The Key Laboratory of Railway Industry of Broadband Mobile Information Communications Beijing Jiaotong University Beijing100044 China The School of Information Engineering Zhengzhou University Zhengzhou450001 China Peng Cheng Laboratory Shenzhen518055 China The Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los AngelesCA90089 United States The Department of Electrical and Information Technology Lund University Lund22100 Sweden The Department of Radio Science and Engineering Aalto University Aalto00076 Finland The School of Engineering University of Glasgow GlasgowG12 8QQ United Kingdom The Institute of Information and Communication Technologies Electronics and Applied Mathematics Universite Catholique de Louvain Louvain-la-Neuve 1348 Belgium

This two-part paper investigates the application of artificial intelligence (AI) and in particular machine learning (ML) to the study of wireless propagation channels. In Part I, we introduced AI and ML as well as provided a comprehensive survey on ML enabled channel characterization and antenna-channel optimization, and in this part (Part II) we review state-of-the-art literature on scenario identification and channel modeling here. In particular, the key ideas of ML for scenario identification and channel modeling/prediction are presented, and the widely used ML methods for propagation scenario identification and channel modeling and prediction are analyzed and compared. Based on the state-of-art, the future challenges of AI/ML-based channel data processing techniques are given as well. © 2021, CC BY-NC-ND.

关键词： Machine learning

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Quantum repeaters: From quantum networks to the quantum internet

arXiv

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arXiv 2022年

作者： Azuma, Koji Economou, Sophia E. Elkouss, David Hilaire, Paul Jiang, Liang Lo, Hoi-Kwong Tzitrin, Ilan NTT Basic Research Laboratories NTT Corporation 3-1 Morinosato Wakamiya Kanagawa Atsugi243-0198 Japan NTT Research Center for Theoretical Quantum Physics NTT Corporation 3-1 Morinosato-Wakamiya Kanagawa Atsugi243-0198 Japan Department of Physics Virginia Tech BlacksburgVA24061 United States QuTech Delft University of Technology Lorentzweg 1 Delft2628 CJ Netherlands Networked Quantum Devices Unit Okinawa Institute of Science and Technology Graduate University Okinawa Japan Quandela SAS 10 Boulevard Thomas Gobert Palaiseau91120 France Pritzker School of Molecular Engineering The University of Chicago ChicagoIL60637 United States Quantum Bridge Technologies Inc. 100 College Street TorontoONM5G 1L5 Canada Department of Physics University of Hong Kong Pokfulam Hong Kong Center for Quantum Information and Quantum Control Department of Physics Department of Electrical & Computer Engineering University of Toronto TorontoM5S 3G4 Canada Department of Physics University of Toronto Toronto Canada

A quantum internet is the holy grail of quantum information processing, enabling the deployment of a broad range of quantum technologies and protocols on a global scale. However, numerous challenges exist before the quantum internet can become a reality. Perhaps the most crucial of these is the realization of a quantum repeater, an essential component in the long-distance transmission of quantum information. As the analog of a classical repeater, extender, or booster, the quantum repeater works to overcome loss and noise in the quantum channels comprising a quantum network. Here, we review the conceptual frameworks and architectures for quantum repeaters, as well as the experimental progress towards their realization. We also discuss the various near-term proposals to overcome the limits to the communication rates set by point-to-point quantum communication. Finally, we overview how quantum repeaters fit within the broader challenge of designing and implementing a quantum internet. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum optics

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Graphene composites as efficient electromagnetic absorbers in the extremely high frequency band

arXiv

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arXiv 2020年

作者： Barani, Zahra Kargar, Fariborz Godziszewski, Konrad Rehman, Adil Yashchyshyn, Yevhen Rumyantsev, Sergey Cywiński, Grzegorz Knap, Wojciech Balandin, Alexander A. Department of Electrical and Computer Engineering University of California RiversideCA92521 United States Center Materials Science and Engineering Program University of California RiversideCA92521 United States Institute of Radioelectronics and Multimedia Technology Warsaw University of Technology Warsaw00-665 Poland CENTERA Laboratories Institute of High-Pressure Physics Polish Academy of Sciences Warsaw01-142 Poland CEZAMAT Warsaw University of Technology Warsaw02-822 Poland

We report on the synthesis of the epoxy-based composites with graphene fillers and testing their electromagnetic shielding efficiency by the quasi-optic free-space method in the extremely high frequency (EHF) band (220 - 325 GHz). The curing adhesive composites were produced by a scalable technique with a mixture of single-layer and few-layer graphene layers of a few-micron lateral dimensions. It was found that the electromagnetic transmission, TT, is low even at small concentrations of graphene fillers: TT Copyright © 2020, The Authors. All rights reserved.

关键词： Graphene

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Free-standing zirconia metasurfaces for microwave resonant polarization conversion

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Physical Review Materials 2025年第5期9卷 055203-055203页

作者： Dimitrios C. Zografopoulos Konstantinos Ntokos Georgios Nousios Guillaume de Calan Odysseas Tsilipakos Walter Fuscaldo Angelos Xomalis Laszlo Pethö José Francisco Algorri Victor Dmitriev Traianos V. Yioultsis Emmanouil E. Kriezis School of Electrical and Computer Engineering Aristotle University of Thessaloniki GR-54124 Thessaloniki Greece Consiglio Nazionale delle Ricerche Istituto per la Microelettronica e Microsistemi Via del fosso del cavaliere 100 00133 Rome Italy Nanoe Corporation 6 Rue des Frênes Ballainvilliers 91160 France Theoretical and Physical Chemistry Institute National Hellenic Research Foundation GR-11635 Athens Greece Nanoelectronics and Photonics Group Department of Electronic Systems Norwegian University of Science and Technology Trondheim 7034 Norway Laboratory for Mechanics of Materials and Nanostructures Empa Swiss Federal Laboratories for Materials Science and Technology Feuerwerkerstrasse 39 3602 Thun Switzerland Photonics Engineering Group University of Cantabria 39005 Santander Spain CIBER-bbn Instituto de Salud Carlos III 28029 Madrid Spain Instituto de Investigación Sanitaria Valdecilla 39011 Santander Spain Electrical Engineering Department Federal University of Pará CEP 66075-900 Belém Brazil

A dielectric zirconia metasurface for resonant polarization conversion at microwave frequencies is theoretically and experimentally investigated. The metasurface is composed of a periodic array of square slotted rings interrupted by solid bridge sectors that provide interconnection and mechanical stability to the free-standing metasurface structure. Moreover, they selectively break the symmetry of the unit cell, thus allowing for polarization conversion based on both weakly and strongly resonant modes, the latter stemming from bound states in the continuum. The main findings of the theoretical analysis are corroborated through the experimental characterization of a metasurface sample fabricated by a recently introduced three-dimensional (3D) printing technique based on fused filament fabrication. Going beyond the target application of resonant polarization conversion, this work proposes an approach for the realization of high-permittivity, 3D-printed zirconia metasurfaces with submillimeter features for strong wave-matter interaction at microwave frequencies.

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Understanding metric-related pitfalls in image analysis validation

arXiv

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arXiv 2023年

作者： Reinke, Annika Tizabi, Minu D. Baumgartner, Michael Eisenmann, Matthias Heckmann-Nötzel, Doreen Kavur, A. Emre Rädsch, Tim Sudre, Carole H. Acion, Laura Antonelli, Michela Arbel, Tal Bakas, Spyridon Benis, Arriel Blaschko, Matthew B. Buettner, Florian Cardoso, M. Jorge Cheplygina, Veronika Chen, Jianxu Christodoulou, Evangelia Cimini, Beth A. Collins, Gary S. Farahani, Keyvan Ferrer, Luciana Galdran, Adrian van Ginneken, Bram Glocker, Ben Godau, Patrick Haase, Robert Hashimoto, Daniel A. Hoffman, Michael M. Huisman, Merel Isensee, Fabian Jannin, Pierre Kahn, Charles E. Kainmueller, Dagmar Kainz, Bernhard Karargyris, Alexandros Karthikesalingam, Alan Kenngott, Hannes Kleesiek, Jens Kofler, Florian Kooi, Thijs Kopp-Schneider, Annette Kozubek, Michal Kreshuk, Anna Kurc, Tahsin Landman, Bennett A. Litjens, Geert Madani, Amin Maier-Hein, Klaus Martel, Anne L. Mattson, Peter Meijering, Erik Menze, Bjoern Moons, Karel G.M. Müller, Henning Nichyporuk, Brennan Nickel, Felix Petersen, Jens Rafelski, Susanne M. Rajpoot, Nasir Reyes, Mauricio Riegler, Michael A. Rieke, Nicola Saez-Rodriguez, Julio Sánchez, Clara I. Shetty, Shravya Summers, Ronald M. Taha, Abdel A. Tiulpin, Aleksei Tsaftaris, Sotirios A. van Calster, Ben Varoquaux, Gaël Yaniv, Ziv R. Jäger, Paul F. Maier-Hein, Lena Faculty of Mathematics and Computer Science Heidelberg University Heidelberg Germany Heidelberg Division of Intelligent Medical Systems Germany NCT Heidelberg A Partnership Between DKFZ University Medical Center Heidelberg Germany Heidelberg Division of Medical Image Computing Germany Heidelberg Division of Intelligent Medical Systems Germany MRC Unit for Lifelong Health and Ageing UCL Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom School of Biomedical Engineering and Imaging Science King’s College London London United Kingdom Instituto de Cálculo CONICET – Universidad de Buenos Aires Buenos Aires Argentina Centre for Medical Image Computing University College London London United Kingdom McGill University Montreal Canada Division of Computational Pathology Dept of Pathology & Laboratory Medicine Indiana University School of Medicine IU Health Information and Translational Sciences Building Indianapolis United States University of Pennsylvania Richards Medical Research Laboratories FL7 PhiladelphiaPA United States Department of Digital Medical Technologies Holon Institute of Technology Holon Israel European Federation for Medical Informatics Le Mont-sur-Lausanne Switzerland Center for Processing Speech and Images Department of Electrical Engineering KU Leuven Leuven Belgium partner site Frankfurt/Mainz a partnership between DKFZ and UCT Frankfurt Marburg Germany Heidelberg Germany Goethe University Frankfurt Department of Medicine Germany Goethe University Frankfurt Department of Informatics Germany and Frankfurt Cancer Insititute Germany Department of Computer Science IT University of Copenhagen Copenhagen Denmark Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. Dortmund Germany Imaging Platform Broad Institute of MIT and Harvard CambridgeMA United States Centre for Statistics in Medicine University of Oxford Oxford United Kingdom Center for Biomedical In

Validation metrics are key for tracking scientific progress and bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particularly in image analysis, metrics are often chosen inadequately. While taking into account the individual strengths, weaknesses, and limitations of validation metrics is a critical prerequisite to making educated choices, the relevant knowledge is currently scattered and poorly accessible to individual researchers. Based on a multi-stage Delphi process conducted by a multidisciplinary expert consortium as well as extensive community feedback, the present work provides the first reliable and comprehensive common point of access to information on pitfalls related to validation metrics in image analysis. While focused on biomedical image analysis, the addressed pitfalls generalize across application domains and are categorized according to a newly created, domain-agnostic taxonomy. The work serves to enhance global comprehension of a key topic in image analysis validation. © 2023, CC BY.

关键词： computer vision

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Optimal Power Encoding of OFDM Signals in All-Digital Transmitters

Optimal Power Encoding of OFDM Signals in All-Digital Transm...

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IEEE Global Communications Conference

作者： Omer Tanovic Rui Ma Philip Orlik Alexandre Megretski Mitsubishi Electric Research Laboratories Cambridge MA USA Department of Electrical Engineering and Computer Science Laboratory for Information and Decision Systems Massachusetts Institute of Technology Cambridge MA USA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

In this paper, we propose a power encoding method for converting a high-resolution OFDM baseband signal into a signal that assumes only a finite number of values. This is achieved by the series interconnection of, optimally (co) designed, delta-sigma (ΔΣM) and digital pulse-width modulators (DPWM). Given an input signal class with a known amplitude distribution (e.g., OFDM), parameters of the multilevel DPWM are designed such that the mean squared error of the inherent DPWM quantization noise is minimized. Parameters of the ΔΣM are then chosen with respect to the designed DPWM, so to optimally shape the inherent quantization noise out of the spectral band of interest. The superior performance of the proposed novel power encoding scheme is demonstrated by Matlab simulations on several standardized LTE test signals.

关键词： Quantization (signal) Encoding Harmonic analysis Baseband OFDM Pulse width modulation

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Quantum Games and Interactive Tools for Quantum Technologies Outreach and Education

arXiv

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arXiv 2022年

作者： Seskir, Zeki C. Migdal, Piotr Weidner, Carrie Anupam, Aditya Case, Nicky Davis, Noah Decaroli, Chiara Ercan, İlke Foti, Caterina Gora, Pawel Jankiewicz, Klementyna La Cour, Brian R. Malo, Jorge Yago Maniscalco, Sabrina Naeemi, Azad Nita, Laurentiu Parvin, Nassim Scafirimuto, Fabio Sherson, Jacob F. Surer, Elif Wootton, James Yeh, Lia Zabello, Olga Chiofalo, Marilù Karlsruhe Institute of Technology ITAS Karlstraße 11 Karlsruhe76133 Germany Quantum Flytrap ul. Ceglowska 29 Warsaw01-809 Poland Quantum Engineering Technology Laboratories H.H. Wills Physics Laboratory Department of Electrical and Electronic Engineering University of Bristol BristolBS8 1FD United Kingdom Georgia Institute of Technology School of Literature Media and Communication 686 Cherry St NW AtlantaGA30313 United States The University of Texas at Austin Center for Quantum Research Applied Research Laboratories 10000 Burnet Rd AustinTX78758 United States National Quantum Computing Center Oxfordshire DidcotOX11 0GD United Kingdom TU Delft Department of Microelectronics Mekelweg 4 Delft2628 CD Netherlands QPlayLearn Aalto University InstituteQ - The Finnish Quantum Institute Department of Applied Physics AaltoFI-00076 11000 Finland Quantum AI Foundation Sanocka 9/103 Warsaw02-110 Poland University of Pisa Department of Physics Largo Bruno Pontecorvo 3 PisaI-56126 Italy University of Helsinki InstituteQ - The Finnish Quantum Institute Department of Physics Helsinki Finland Georgia Institute of Technology School of Electrical and Computer Engineering 777 Atlantic Drive NW AtlantaGA30332 United States Quarks Interactive Strada Bailor 93a Miercurea-Ciuc Harghita4500 Romania IBM Quantum IBM Research - Zurich Säumerstrasse 4 Rüschlikon8803 Switzerland ScienceAtHome Fuglesangs Allé 4 Aarhus8210 Denmark Aarhus University Institute for Physics and Astronomy Ny Munkegade 120 Aarhus8000 Denmark Middle East Technical University Graduate School of Informatics Department of Modeling and Simulation Üniversiteler Mah. Dumlupınar Blv. No:1 Ankara06800 Turkey University of Oxford Department of Computer Science Wolfson Building Parks Road OxfordOX1 3QD United Kingdom IBM Quantum IBM T. J. Watson Research Center Yorktown HeightsNY10598 United States Offenburg University of Applied Sciences Department of Business and Industrial Eng

In this article, we provide an extensive overview of a wide range of quantum games and interactive tools that have been employed by the community in recent years. The paper presents selected tools, as described by their developers. The list includes Hello Quantum, Hello Qiskit, Particle in a Box, Psi and Delta, QPlayLearn, Virtual Lab by Quantum Flytrap, Quantum Odyssey, scienceAtHome, and The Virtual Quantum Optics Laboratory. Additionally, we present events for quantum game development: hackathons, game jams, and semester projects. Furthermore, we discuss the Quantum Technologies Education for Everyone (QUTE4E) pilot project, which illustrates an effective integration of these interactive tools with quantum outreach and education activities. Finally, we aim at providing guidelines for incorporating quantum games and interactive tools in pedagogic materials to make quantum technologies more accessible for a wider population. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum optics

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Time-Dependent Dielectric Breakdown Under AC Stress in GaN MIS-HEMTs

Time-Dependent Dielectric Breakdown Under AC Stress in GaN M...

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Annual International Symposium on Reliability Physics

作者： Ethan S. Lee Luis Hurtado Jungwoo Joh Srikanth Krishnan Sameer Pendharkar Jesús A. Del Alamo Microsystems Technology Laboratories Massachusetts Institute of Technology Cambridge MA U.S.A. Department of Electrical and Computer Engineering University of Central Florida Orlando FL U.S.A. Analog Technology Development Texas Instruments Dallas TX U.S.A.

We investigate time-dependent dielectric breakdown (TDDB) in AlGaN/GaN Metal-Insulator-Semiconductor High Electron Mobility Transistors (MIS-HEMTs) under forward bias AC stress which better emulates real-world operational conditions. To this end, we have performed TDDB experiments across a wide range of frequencies, temperatures, and recovery voltage levels. We find that TDDB under AC stress shows longer breakdown times than under DC stress and that this increase is more prominent with higher frequency, lower temperature, and more negative recovery voltage. We hypothesize that this is due to the dynamics of the gate stack in GaN MIS-HEMTs biased with a high positive gate voltage. Under these conditions, a second electron channel forms at the dielectric/AlGaN interface. This process is relatively slow as these electrons come from the 2DEG at the AlGaN/GaN interface and must overcome the energy barrier presented by the AlGaN. At the same gate voltage then, the electric field across the gate oxide is lower in magnitude under AC stress at high enough frequency than under DC stress explaining the obtained results.

关键词： Stress Logic gates Gallium nitride Electric breakdown Dielectrics Aluminum gallium nitride Wide band gap semiconductors

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Quantum simulations in integrated photonics

Quantum simulations in integrated photonics

引用

Quantum Information and Measurement, QIM 2019

作者： Sparrow, Chris Paesani, Stefano Maraviglia, Nicola Santagati, Raffaele Vigliar, Caterina Neville, Alex Harrold, Chris Russell, Nicholas J. O'Brien, Jeremy Tew, David Matsuda, Nobuyuki Hashimoto, Toshikazu Martín-López, Enrique Carolan, Jacques Joglekar, Yogesh Laing, Anthony Quantum Engineering and. Technology Labs School of Physics Department of Electrical and Electronic Engineering University of Bristol BS8 1UB United Kingdom NTT Basic Research Laboratories NTT Corporation 3-1 Morinosato-Wakamiya Atsugi Kanagawa243-0198 Japan Nokia Research Centre Broers Building 21 J.J. Thomson Avenue CambridgeCB3 0FA United Kingdom Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States IndianapolisIN46202 United States

ISBN: (纸本)9781943580569

关键词： Simulation platform

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Roadmap on spatiotemporal light fields

arXiv

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arXiv 2022年

作者： Shen, Yijie Zhan, Qiwen Wright, Logan G. Christodoulides, Demetrios N. Wise, Frank W. Willner, Alan E. Zhao, Zhe Zou, Kai-Heng Liao, Chen-Ting Hernández-García, Carlos Murnane, Margaret Porras, Miguel A. Chong, Andy Wan, Chenhao Bliokh, Konstantin Y. Yessenov, Murat Abouraddy, Ayman F. Wong, Liang Jie Go, Michael Kumar, Suraj Guo, Cheng Fan, Shanhui Papasimakis, Nikitas Zheludev, Nikolay I. Chen, Lu Zhu, Wenqi Agrawal, Amit Jolly, Spencer W. Dorrer, Christophe Alonso, Benjamín Lopez-Quintas, Ignacio López-Ripa, Miguel Sola, Íñigo J. Fang, Yiqi Gong, Qihuang Liu, Yunquan Huang, Junyi Zhang, Hongliang Ruan, Zhichao Mounaix, Mickael Fontaine, Nicolas K. Carpenter, Joel Dorrah, Ahmed H. Capasso, Federico Forbes, Andrew Optoelectronics Research Centre Centre for Photonic Metamaterials University of Southampton SouthamptonSO17 1BJ United Kingdom School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Zhangjiang Laboratory 100 Haike Road Shanghai201204 China Physics & Informatics Laboratories NTT Research Inc. 940 Stewart Drive SunnyvaleCA94085 United States School of Applied and Engineering Physics Cornell University IthacaNY14853 United States College of Optics & Photonics-CREOL University of Central Florida OrlandoFL32816 United States Department of Electrical Engineering University of Southern California Los AngelesCA90089 United States JILA Department of Physics University of Colorado and NIST BoulderCO80309 United States Grupo de Investigación en Aplicaciones del Láser y Fotónica Departamento de Física Aplicada Universidad de Salamanca Salamanca37008 Spain Grupo de Sistemas Complejos ETSIME Universidad Politécnica de Madrid Rios Rosas 21 Madrid28003 Spain Physics Department Pusan National Umiversity Geumjeong-gu Busan46241 Korea Republic of School of Optical and Electronic Information Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Hubei Wuhan430074 China Theoretical Quantum Physics Laboratory RIKEN Cluster for Pioneering Research Saitama Wako-shi351-0198 Japan School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore639798 Singapore Department of Applied Physics Stanford University StanfordCA94305 United States Ginzton Laboratory Department of Electrical Engineering Stanford University StanfordCA94305 United States Centre for Disruptive Photonic Technologies School of Physical and Mathematical Sciences The Photonics Institute Nanyang Technological University Singapore637378 Singapore National Institute of Standards and Technology GaithersburgMD20899 United States Maryla

Spatiotemporal sculpturing of light pulse with ultimately sophisticated structures represents the holy grail of the human everlasting pursue of ultra-fast information transmission and processing as well as ultra-intense energy concentration and extraction. It also holds the key to unlock new extraordinary fundamental physical effects. Traditionally, spatiotemporal light pulses are always treated as spatiotemporally separable wave packet as solution of the Maxwell's equations. In the past decade, however, more generalized forms of spatiotemporally nonseparable solution started to emerge with growing importance for their striking physical effects. This roadmap intends to highlight the recent advances in the creation and control of increasingly complex spatiotemporally sculptured pulses, from spatiotemporally separable to complex nonseparable states, with diverse geometric and topological structures, presenting a bird's eye viewpoint on the zoology of spatiotemporal light fields and the outlook of future trends and open challenges. © 2022, CC0.

关键词： Maxwell equations

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