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Frontiers in Optics, FIO 2018

作者： Matyas, Corey You, Chenglong Huang, Yin Dowling, Jonathan P. Veronis, Georgios Hearne Institute for Theoretical Physics Department of Physics and Astronomy Louisiana State University Baton RougeLA70803 United States Department of Optoelectrics Information Science and Engineering School of Physics and Electronics Central South University Changsha Hunan410012 China NYU-ECNU Institute of Physics NYU Shanghai 3663 Zhongshan Road North Shanghai200062 China CAS-Alibaba Quantum Computing Laboratory CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai201315 China School of Electrical Engineering and Computer Science Louisiana State University Baton RougeLA70803 United States Center for Computation and Technology Louisiana State University Baton RougeLA70803 United States

We design an optimized aperiodic multilayer thin film structure with ultra-broadband absorption over a broad angular range. Using a hybrid optimization algorithm, we achieve an average 97.9% absorption from 400 nm to ... 详细信息

ISBN: (纸本)9781943580460

关键词： Film preparation

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Hole spin echo envelope modulations

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Physical Review B 2019年第12期100卷 125402-125402页

作者： Pericles Philippopoulos Stefano Chesi Joe Salfi Sven Rogge W. A. Coish Department of Physics McGill University 3600 Rue University Montreal Quebec Canada H3A 2T8 Beijing Computational Science Research Center Beijing 100193 China Department of Physics Beijing Normal University Beijing 100875 China School of Physics The University of New South Wales Sydney New South Wales 2052 Australia Centre for Quantum Computation and Communication Technology The University of New South Wales Sydney New South Wales 2052 Australia Department of Electrical and Computer Engineering University of British Columbia Vancouver British Columbia Canada V6T 1Z4

Hole spins in semiconductor quantum dots or bound to acceptor impurities show promise as potential qubits, partly because of their weak and anisotropic hyperfine couplings to proximal nuclear spins. Since the hyperfine coupling is weak, it can be difficult to measure. However, an anisotropic hyperfine coupling can give rise to a substantial spin-echo envelope modulation that can be Fourier analyzed to accurately reveal the hyperfine tensor. Here, we give a general theoretical analysis for hole spin-echo envelope modulation, and apply this analysis to the specific case of a boron acceptor hole spin in silicon. For boron acceptor spins in unstrained silicon, both the hyperfine and Zeeman Hamiltonians are approximately isotropic, leading to negligible envelope modulations. In contrast, in strained silicon, where light-hole spin qubits can be energetically isolated, we find that the hyperfine Hamiltonian and g tensor are sufficiently anisotropic to give spin-echo envelope modulations. We show that there is an optimal magnetic-field orientation that maximizes the visibility of envelope modulations in this case. Based on microscopic estimates of the hyperfine coupling, we find that the maximum modulation depth can be substantial, reaching ≈10%, at a moderate laboratory magnetic field, B≲200mT.

关键词： Quantum information with solid state qubits Spin dynamics Quantum dots Semiconductors Electron paramagnetic resonance Electron spin resonance Luttinger–Kohn model k dot p method

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Generation of a Cat State in an Optical Sideband

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Physical Review Letters 2018年第14期121卷 143602-143602页

作者： Takahiro Serikawa Jun-ichi Yoshikawa Shuntaro Takeda Hidehiro Yonezawa Timothy C. Ralph Elanor H. Huntington Akira Furusawa Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo Japan School of Engineering and Information Technology The University of New South Wales Canberra Australian Capital Territory 2600 Australia Center for Quantum Computation and Communication Technology Australian Research Council Canberra Australian Capital Territory 2609 Australia School of Mathematics and Physics University of Queensland Brisbane Queensland 4072 Australia Research School of Engineering College of Engineering and Computer Science Australian National University Canberra Australian Capital Territory 2600 Australia

We propose a method to subtract a photon from a double sideband mode of continuous-wave light. The central idea is to use phase modulation as a frequency sideband beam splitter in the heralding photon subtraction scheme, where a small portion of the sideband mode is down-converted to 0 Hz to provide a trigger photon. An optical cat state is created by applying the proposed method to a squeezed state at 500 MHz sideband, which is generated by an optical parametric oscillator. The Wigner function of the cat state reconstructed from a direct homodyne measurement of the 500 MHz sideband modes shows the negativity of W(0,0)=−0.088±0.001 without any loss corrections.

关键词： Optical parametric oscillators & amplifiers Quantum state engineering Quantum states of light Squeezing of quantum noise

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Wearable Flexible Hybrid Electronics: Advanced Soft Materials, Sensor Integrations, and Applications of Wearable Flexible Hybrid Electronics in Healthcare, Energy, and Environment (Adv. Mater. 15/2020)

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Advanced Materials 2020年第15期32卷

作者： Hyo‐Ryoung Lim Hee Seok Kim Raza Qazi Young‐Tae Kwon Jae‐Woong Jeong Woon‐Hong Yeo George W. Woodruff School of Mechanical Engineering Institute for Electronics and Nanotechnology Georgia Institute of Technology Atlanta GA 30332 USA Department of Mechanical Engineering University of South Alabama Mobile AL 36608 USA Department of Electrical Computer & Energy Engineering University of Colorado Boulder Boulder CO 80309 USA School of Electrical Engineering Korea Advanced Institute of Science and Technology Daejeon 34141 South Korea George W. Woodruff School of Mechanical Engineering Wallace H. Coulter Department of Biomedical Engineering Institute for Electronics and Nanotechnology Parker H. Petit Institute for Bioengineering and Biosciences Center for Flexible and Wearable Electronics Advanced Research Neural Engineering Center Institute for Materials Institute for Robotics and Intelligent Machines Georgia Institute of Technology Atlanta GA 30332 USA

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Chip-scale high Q-factor glassblown microspherical shells for magnetic sensing

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AIP Advances 2018年第6期8卷 065214-065214页

作者： Freeman, Eugene Wang, Cheng-Yu Sumaria, Vedant Schiff, Steven J. Liu, Zhiwen Tadigadapa, Srinivas Honeywell International Aerospace Advanced Technology PlymouthMN55441 United States School of Electrical Engineering and Computer Science Pennsylvania State University University ParkPA16802 United States Department of Electrical and Computer Engineering Northeastern University BostonMA02115 United States Department of Engineering Science and Mechanics Center for Neural Engineering Pennsylvania State University University ParkPA16802 United States Departments of Neurosurgery and Physics Pennsylvania State University University ParkPA16802 United States

A whispering gallery mode resonator based magnetometer using chip-scale glass microspherical shells is described. A neodynium micro-magnet is elastically coupled and integrated on top of the microspherical shell structure that enables transduction of the magnetic force experienced by the magnet in external magnetic fields into an optical resonance frequency shift. High quality factor optical microspherical shell resonators with ultra-smooth surfaces have been successfully fabricated and integrated with magnets to achieve Q-factors of greater than 1.1 × 107 and have shown a resonance shift of 1.43 GHz/mT (or 4.0 pm/mT) at 760 nm wavelength. The main mode of action is mechanical deformation of the microbubble with a minor contribution from the photoelastic effect. An experimental limit of detection of 60 nT Hz-1/2 at 100 Hz is demonstrated. A theoretical thermorefractive limited detection limit of 52 pT Hz-1/2 at 100 Hz is calculated from the experimentally derived sensitivity. The paper describes the mode of action, sensitivity and limit of detection is evaluated for the chip-scale whispering gallery mode magnetometer. © 2018 Author(s).

关键词： Magnets

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Correction: CEPC Technical Design Report: Accelerator

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Radiation Detection Technology and Methods 2024年第1期9卷 184-192页

作者： Abdallah, Waleed de Freitas, Tiago CarlosAdorno Afanaciev, Konstantin Ahmad, Shakeel Ahmed, Ijaz Ai, Xiaocong Aleem, Abid Altmannshofer, Wolfgang Alves, Fabio An, Weiming An, Rui Anderle, Daniele Paolo Antusch, Stefan Arai, Yasuo Arbuzov, Andrej Arhrib, Abdesslam Ashry, Mustafa Bai, Sha Bai, Yu Bai, Yang Bairathi, Vipul Balazs, Csaba Bambade, Philip Ban, Yong Bandyopadhyay, Triparno Bao, Shou-Shan Barber, Desmond P. Bat, Ays¸e Batozskaya, Varvara Behera, Subash Chandra Belyaev, Alexander Bertucci, Michele Bi, Xiao-Jun Bi, Yuanjie Bian, Tianjian Bianchi, Fabrizio Bieko¨tter, Thomas Biglietti, Michela Bilanishvili, Shalva Binglin, Deng Bodrov, Denis Bogomyagkov, Anton Bondarenko, Serge Boogert, Stewart Boonekamp, Maarten Borri, Marcello Bosotti, Angelo Boudry, Vincent Boukidi, Mohammed Boyko, Igor Bozovic, Ivanka Bozzi, Giuseppe Brient, Jean-Claude Budzinskaya, Anastasiia Bukhari, Masroor Bytev, Vladimir Cacciapaglia, Giacomo Cai, Hua Cai, Wenyong Cai, Wujun Cai, Yijian Cai, Yizhou Cai, Yuchen Cai, Haiying Cai, Huacheng Calibbi, Lorenzo Cang, Junsong Cao, Guofu Cao, Jianshe Chance, Antoine Chang, Xuejun Chang, Yue Chang, Zhe Chang, Xinyuan Chao, Wei Chatrabhuti, Auttakit Che, Yimin Che, Yuzhi Chen, Bin Chen, Danping Chen, Fuqing Chen, Fusan Chen, Gang Chen, Guoming Chen, Hua-Xing Chen, Huirun Chen, Jinhui Chen, Ji-Yuan Chen, Kai Chen, Mali Chen, Mingjun Chen, Mingshui Chen, Ning Chen, Shanhong Chen, Shanzhen Chen, Shao-Long Chen, Shaomin Chen, Shiqiang Chen, Tianlu Chen, Wei Chen, Xiang Chen, Xiaoyu Chen, Xin Chen, Xun Chen, Xurong Chen, Ye Chen, Ying Chen, Yukai Chen, Zelin Chen, Zilin Chen, Boping Chen, Chunhui Cheng, Hok Chuen Cheng, Huajie Cheng, Shan Cheng, Tongguang Chi, Yunlong Chimenti, Pietro Chiu, Wen Han Cho, Guk Chu, Ming-Chung Chu, Xiaotong Chu, Ziliang Coloretti, Guglielmo Crivellin, Andreas Cui, Hanhua Cui, Xiaohao Cui, Zhaoyuan D’Anzi, Brunella Dai, Ling-Yun Dai, Xinchen Dai, Xuwen De Maria, Antonio De Filippis, Nicola De La Taille, Christophe De Mori, Francesca De Sio, Chiara Del Core, Elisa Deng, Cairo University Giza Egypt Xi’an Jiaotong-Liverpool University Suzhou China Institute of Power Engineering of National Academy of Sciences of Belarus Minsk Belarus Pakistan Institute of Nuclear Science and Technology (PINSTECH) Islamabad Pakistan Applied Physics Department Science and Technology Federal Urdu University of Arts Islamabad Pakistan Zhengzhou University Zhengzhou China Institute of High Energy Physics Chinese Academy of Sciences Beijing China University of California Santa Cruz Santa Cruz USA Nanjing University Nanjing China Beijing Normal University Beijing China Harvard University Cambridge USA South China Normal University Guangzhou China University of Basel Basel Switzerland High Energy Accelerator Research Organization (KEK) Tsukuba Japan Joint Institute for Nuclear Research Dubna Russia Faculty of Sciences and Techniques Université Abdelmalek Essaadi Tangier Morocco Southeast University Nanjing China Department of Physics University of Wisconsin–Madison Madison USA Instituto de Alta Investigación Universidad de Tarapacá Arica Chile Monash University Melbourne Australia Laboratoire de Physique des 2 infinis Irène Joliot-Curie – IJCLab Orsay France Peking University Beijing China Department of Physics and Nanotechnology SRM Institute of Science and Technology Kattankulathur India Shandong University Jinan China University of New Mexico Albuquerque USA Bandirma Onyedi Eylul University Bandırma Turkey National Centre for Nuclear Research Warsaw Poland Indian Institute of Technology Madras (IN) Chennai India University of Southampton Southampton UK INFN Milano - LASA Segrate Italy Sun Yat-Sen University Guangzhou China China Institute of Atomic Energy Beijing China INFN-University of Torino Turin Italy Karlsruhe Institute of Technology Institute for Theoretical Physics Karlsruhe Germany INFN-Sezione di Roma Tre Rome Italy Kutaisi International University Kutaisi Georgia Soochow University Suzhou China Budker Institute

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Schrödinger-s cat in an optical sideband

arXiv

引用

arXiv 2018年

作者： Serikawa, Takahir Yoshikawa, Jun-Ichi Takeda, Shuntaro Yonezawa, Hidehiro Ralph, Timothy C. Huntington, Elanor H. Furusawa, Akir Department of Applied Physics School of Engineering University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo School of Engineering and Information Technology University of New South Wales CanberraACT2600 Australia Center for Quantum Computation and Communication Technology Australian Research Council School of Mathematics and Physics University of Queensland BrisbaneQLD4072 Australia Research School of Engineering College of Engineering and Computer Science Australian National University CanberraACT2600 Australia

We propose a method to subtract a photon from a double sideband mode of continuous-wave light. The central idea is to use phase modulation as a frequency sideband beamsplitter in the heralding photon subtraction scheme, where a small portion of the sideband mode is downconverted to the carrier frequency to provide a trigger photon. An optical Schrödinger-s cat state is created by applying the propesed method to a squeezed state at 500MHz sideband, which is generated by an optical parametric oscillator. The Wigner function of the cat state reconstructed from a direct homodyne measurement of the 500MHz sideband modes shows the negativity ofW(0;0) =-0:0880:001 without any loss corrections. Copyright © 2018, The Authors. All rights reserved.

关键词： Photons

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Correction to "Correlated Component Analysis for Enhancing the Performance of SSVEP-Based Brain-computer Interface"

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IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE engineering in Medicine and Biology Society 2018年第8期26卷 1645-1646页

作者： Yangsong Zhang Daqing Guo Fali Li Erwei Yin Yu Zhang Peiyang Li Qibin Zhao Toshihisa Tanaka Dezhong Yao Peng Xu Masaki Nakanishi School of Computer Science and Technology Southwest University of Science and Technology Mianyang China MOE Key Laboratory for Neuroinformation Clinical Hospital of Chengdu Brain Science Institute University of Electronic Science and Technology of China Chengdu China Academy of Military Sciences China National Institute of Defense Technology Innovation Beijing China Department of Psychiatry and Behaviour Sciences Stanford University Stanford CA USA Tensor Learning Unit RIKEN Center for Advanced Intelligence Project Tokyo Japan Department of Electronic and Information Engineering Tokyo University of Agriculture and Technology Tokyo Japan Swartz Center for Computational Neuroscience Institute for Neural Computation University of California at San Diego La Jolla CA USA

In the above paper [1], a method has been proposed to use the correlated component analysis (CORCA) to learn spatial filters with multiple blocks of individual training data for steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) scenario. In order to evaluate the performance of CORCA, the task-related component analysis (TRCA)-based method was used as a baseline method [2]. For a fair and convincing comparison, the MATLAB codes on the website (https://***/mnakanishi/TRCA-SSVEP) for implementing TRCA method provided by Dr. Masaki Nakanishi, the first author of [2], were used to take the role of the TRCA method. At that time, the proposed CORCA-based method outperforms the TRCA-based method [1].

关键词： Bars Standards Analysis of variance Brain-computer interfaces Task analysis Hospitals Electronic mail

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Hole-spin-echo envelope modulations

arXiv

引用

arXiv 2019年

作者： Philippopoulos, Pericles Chesi, Stefano Salfi, Joe Rogge, Sven Coish, W.A. Department of Physics McGill University 3600 rue University MontrealQcH3A 2T8 Canada Beijing Computational Science Research Center Beijing100193 China Department of Physics Beijing Normal University Beijing100875 China School of Physics University of New South Wales SydneyNSW2052 Australia Centre for Quantum Computation and Communication Technology University of New South Wales SydneyNSW2052 Australia Department of Electrical and Computer Engineering University of British Columbia VancouverBCV6T 1Z4 Canada

Hole spins in semiconductor quantum dots or bound to acceptor impurities show promise as potential qubits, partly because of their weak and anisotropic hyperfine couplings to proximal nuclear spins. Since the hyperfine coupling is weak, it can be difficult to measure. However, an anisotropic hyperfine coupling can give rise to a substantial spin-echo envelope modulation that can be Fourier-analyzed to accurately reveal the hyperfine tensor. Here, we give a general theoretical analysis for hole-spin-echo envelope modulation (HSEEM), and apply this analysis to the specific case of a boron-acceptor hole spin in silicon. For boron acceptor spins in unstrained silicon, both the hyperfine and Zeeman Hamiltonians are approximately isotropic leading to negligible envelope modulations. In contrast, in strained silicon, where light-hole spin qubits can be energetically isolated, we find the hyperfine Hamiltonian and g-tensor are sufficiently anisotropic to give spin-echo-envelope modulations. We show that there is an optimal magnetic-field orientation that maximizes the visibility of envelope modulations in this case. Based on microscopic estimates of the hyperfine coupling, we find that the maximum modulation depth can be substantial, reaching ∼ 10%, at a moderate laboratory magnetic field, B . 200 mT. Copyright © 2019, The Authors. All rights reserved.

关键词： Hamiltonians

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Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain

arXiv

引用

arXiv 2018年

作者： Thakur, Chetan Singh Molin, Jamal Cauwenberghs, Gert Indiveri, Giacomo Kumar, Kundan Qiao, Ning Schemmel, Johannes Wang, Runchun Chicca, Elisabetta Hasler, Jennifer Olson Seoa, Jae sun Yu, Shimeng Cao, Yu van Schaik, André Etienne-Cummings, Ralph Department of Electronic Systems Engineering Indian Institute of Science Bangalore India Department of Electrical and Computer Engineering Johns Hopkins University BaltimoreMD United States Department of Bioengineering and Institute for Neural Computation University of California San Diego La JollaCA United States Institute of Neuroinformatics University of Zurich ETH Zurich Zurich Switzerland Kirchhoff Institute for Physics University of Heidelberg Heidelberg Germany MARCS Institute Western Sydney University KingswoodNSW2751 Australia Cognitive Interaction Technology Center of Excellence Bielefeld University Bielefeld Germany School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA United States School of Electrical Computer and Engineering Arizona State University TempeAZ United States

Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evolved over billions of years to solve difficult engineering problems by using efficient, parallel, low-power computation. The goal of NE is to design systems capable of brain-like computation. Numerous large-scale neuromorphic projects have emerged recently. This interdisciplinary field was listed among the top 10 technology breakthroughs of 2014 by the MIT Technology Review and among the top 10 emerging technologies of 2015 by the World Economic Forum. NE has two-way goals: one, a scientific goal to understand the computational properties of biological neural systems by using models implemented in integrated circuits (ICs);second, an engineering goal to exploit the known properties of biological systems to design and implement efficient devices for engineering applications. Building hardware neural emulators can be extremely useful for simulating large-scale neural models to explain how intelligent behavior arises in the brain. The principle advantages of neuromorphic emulators are that they are highly energy efficient, parallel and distributed, and require a small silicon area. Thus, compared to conventional CPUs, these neuromorphic emulators are beneficial in many engineering applications such as for the porting of deep learning algorithms for various recognitions tasks. In this review article, we describe some of the most significant neuromorphic spiking emulators, compare the different architectures and approaches used by them, illustrate their advantages and drawbacks, and highlight the capabilities that each can deliver to neural modelers. This article focuses on the discussion of large-scale emulators and is a continuation of a previous review of various neural and synapse circuits [1]. We also explore application

关键词： Large scale systems

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