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Proposal for stable atom trapping on a GaN-on-Sapphire chip

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arXiv 2022年

作者： Liu, Aiping Xu, Lei Xu, Xin-Biao Chen, Guang-Jie Zhang, Pengfei Xiang, Guo-Yong Guo, Guang-Can Wang, Qin Zou, Chang-Ling Institute of quantum information and technology Nanjing University of Posts and Telecommunications Nanjing210003 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China State Key Laboratory of Quantum Optics and Quantum Optics Devices Institute of Opto-Electronics Shanxi University Taiyuan030006 China Broadband wireless communication and sensor network technology Key lab of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing210003 China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei230026 China

The hybrid photon-atom integrated circuits, which include photonic microcavities and trapped single neutral atom in their evanescent field, are of great potential for quantum information processing. In this platform, the atoms provide the single-photon nonlinearity and long-lived memory, which are complementary to the excellent passive photonics devices in conventional quantum photonic circuits. In this work, we propose a stable platform for realizing the hybrid photon-atom circuits based on an unsuspended photonic chip. By introducing high-order modes in the microring, a feasible evanescent-field trap potential well ∼ 0.3mK could be obtained by only 10mW-level power in the cavity, compared with 100mW-level power required in the scheme based on fundamental modes. Based on our scheme, stable single atom trapping with relatively low laser power is feasible for future studies on high-fidelity quantum gates, single-photon sources, as well as many-body quantum physics based on a controllable atom array in a microcavity. © 2022, CC BY.

关键词： Atoms

Efficient Channel Estimation for Millimeter Wave and Terahertz Systems Enabled by Integrated Super-resolution Sensing and communication

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arXiv 2024年

作者： Xu, Jingran Wang, Huizhi Zeng, Yong Xu, Xiaoli Wu, Qingqing Yang, Fei Chen, Yan Jamalipour, Abbas The National Mobile Communications Research Laboratory Frontiers Science Center for Mobile Information Communication and Security Southeast University Nanjing210096 China The Purple Mountain Laboratories Nanjing211111 China Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China The Wireless Technology Lab. 2012 Lab Shanghai Huawei Technologies Co. Ltd. Shanghai201206 China The School of Electrical and Computer Engineering The University of Sydney CamperdownNSW2006 Australia

Integrated super-resolution sensing and communication (ISSAC) has emerged as a promising technology to achieve extremely high precision sensing for those key parameters, such as the angles of the sensing targets. In this paper, we propose an efficient channel estimation scheme enabled by ISSAC for millimeter wave (mmWave) and TeraHertz (THz) systems with a hybrid analog/digital beamforming architecture, where both the pilot overhead and the cost of radio frequency (RF) chains are significantly reduced. The key idea is to exploit the fact that subspace-based super-resolution algorithms such as multiple signal classification (MUSIC) can estimate channel parameters accurately without requiring dedicate a priori known pilots. In particular, the proposed method consists of two stages. First, the angles of the multi-path channel components are estimated in a pilot-free manner during the transmission of data symbols. Second, the multi-path channel coefficients are estimated with very few pilots. Compared to conventional channel estimation schemes that rely solely on channel training, our approach requires the estimation of much fewer parameters in the second stage. Furthermore, with channel multi-path angles obtained, the beamforming gain can be achieved when pilots are sent to estimate the channel path gains. To comprehensively investigate the performance of the proposed scheme, we consider both the basic line-of-sight (LoS) channels and more general multipath channels. We compare the performance of the minimum mean square error (MMSE) of channel estimation and the resulting beamforming gains of our proposed scheme with the traditional scheme that rely exclusively on channel training. It is demonstrated that our proposed method significantly outperforms the benchmarking scheme. Simulation results are presented to validate our theoretical findings. Copyright © 2024, The Authors. All rights reserved.

关键词： Mean square error

A Fast Method for Shortest-Path Cover Identification in Large Complex Networks

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Computers, Materials & Continua 2020年第5期63卷 705-724页

作者： Qiang Wei Guangmin Hu Chao Shen Yunfei Yin School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu611731China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu610041China MOE Key Lab for Intelligent Networks and Network Security Xi’an Jiaotong UniversityXi’an710049China The Electronic Engineering Department Universidad de SevillaSeville41004Spain School of Astronautics Harbin Institute of TechnologyHarbin150001China

Fast identifying the amount of information that can be gained by measuring a network via shortest-paths is one of the fundamental problem for networks exploration and ***,the existing methods are time-consuming for even moderate-scale *** this paper,we present a method for fast shortest-path cover identification in both exact and approximate scenarios based on the relationship between the identification and the shortest distance *** effectiveness of the proposed method is validated through synthetic and real-world *** experimental results show that our method is 105 times faster than the existing methods and can solve the shortest-path cover identification in a few seconds for large-scale networks with millions of nodes and edges.

关键词： Network discovery shortest-path cover shortest-path distance query large complex networks

A Survey on Open-Source-Defined Wireless Networks: Framework, Key technology, and Implementation

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arXiv 2022年

作者： Zhao, Liqiang Bala, Muhammad Muhammad Gang, Wu Chengkang, Pan Yannan, Yuan Zhigang, Tian Tseng, Yu-Chee Xiang, Chen Shen, Bin Chih-Lin, I. The State Key Laboratory of Integrated Service Networks School of Telecommunications Engineering Xidian University Xi’an710071 China National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China China China Mobile Research Institute China Communication Research Institute Vivo Mobile Communication Co. Ltd Beijing China Beijing National Research Center for Information Science Technology Tsinghua University Beijing China Artificial Intelligence National Yang Ming Chiao Tung University Taiwan School of Electronics and Information Technology Sun Yat-Sen University Guangdong Province Guangzhou510006 China Chongqing Municipal Lab of Mobile Communication Technology Chongqing400-065 China China Mobile Research Institute Beijing China

The realization of open-source-defined wireless networks in the telecommunication domain is accomplished through the fifth-generation network (5G). In contrast to it predecessors (3G and 4G), the 5G network can support a wide variety of heterogeneous use cases with challenging requirements from both the Internet and Internet of Things (IoT). The future sixth-generation (6G) network will not only extend 5G capabilities but also innovate new functionalities to address emerging academic and engineering challenges. The research community has identified these challenges could be overcome by open-source-defined wireless networks, which is based on open-source software and hardware. In this survey, we present an overview of different aspects of open-source-defined wireless networks, comprising motivation, frameworks, key technologies, and implementation. We start by introducing the motivation and explore several frameworks with classification into three different categories: black-box, grey-box, and white-box. We review research efforts related to open-source-defined Core Network (CN), Radio Access Network (RAN), Multi-access Edge Computing (MEC), the capabilities of security threats, open-source hardware, and various implementations, including testbeds. The last but most important in this survey, lessons learned, future research direction, open research issues, pitfalls and limitations of existing surveys on open-source wireless networks are included to motivate and encourage future research. © 2022, CC BY.

关键词： Wireless networks

A rejection sampling algorithm for off-centered discrete Gaussian distributions over the integers

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science China(information sciences) 2019年第3期62卷 196-198页

作者： Yusong DU Baodian WEI Huang ZHANG School of Data and Computer Science Sun Yat-sen University Guangdong Key Laboratory of Information Security Technology Chongqing Key Lab of Computer Network and Communication Technology

Dear editor,Discrete Gaussian sampling, that is, sampling from a discrete Gaussian distribution DΛ,σ,cwith parameter σ> 0 and center c∈R~n over an ndimensional lattice Λ, has been considered by the cryptography research community as one of the fundamental building blocks of lattice-based cryptography [1, 2]. The simplest lattice is the one-

关键词： A rejection sampling algorithm for off-centered discrete Gaussian distributions over the integers

Quantum light sources with configurable lifetime leveraging parity-time symmetry

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arXiv 2025年

作者： Chen, Nuo Li, Wen-Xiu Fan, Yun-Ru Li, Hang-Hang Zeng, Hong Chi, Wu-Qiang Zhou, Heng Li, Hao You, Li-Xing Guo, Guang-Can Zhou, Qiang Xu, Jing Zhang, Xin-Liang School of Optical and Electronic Information Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan430074 China Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu611731 China Key Laboratory of Quantum Physics and Photonic Quantum Information Ministry of Education University of Electronic Science and Technology of China Chengdu611731 China Key Lab of Optical Fiber Sensing and Communication Networks School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu611731 China National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China Center for Quantum Internet Tianfu Jiangxi Laboratory Chengdu641419 China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei230026 China Optics Valley Laboratory Hubei430074 China

Quantum light sources with configurable photon lifetimes are essential for large-scale quantum circuits, enabling applications in programmable quantum computing, various quantum key distribution protocols, and quantum tomography techniques. However, the fundamental trade-off between efficiency and photon lifetime imposes significant challenges on the design of high-performance large configurable lifetime quantum light sources. Here, we report on such chip-scale quantum light sources by harnessing the unique feature of parity-time (PT) symmetry. The core design centers on employing PT-symmetric coupling between two microresonators of distinct circumferences, enabling broad-range and selective tuning of intracavity photon density of states. By controlling the alignment between resonators, we achieved a 38-fold photon lifetime tuning range (4 ~ 158 ps), with the shortest lifetimes near the exceptional points of the PT-symmetric systems. The device generates energy-time entangled photon pairs with 87.1 ±1.1% interference visibility and a heralded second-order autocorrelation of (Formula Presented) Our work highlights the potential of PT symmetry for advanced quantum applications, including high-speed communication and programmable quantum computing, quantum coherent tomography, and beyond. © 2025, CC BY.

关键词： Qubits

Optimized meta-VQE Algorithm for Better Trend Learning of Ground State Energy

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Optimized meta-VQE Algorithm for Better Trend Learning of Gr...

International Conference on Wireless communications and Signal Processing (WCSP)

作者： Han Zeng Ze-Tong Li Tian Luan Yulong Fu Xu-Tao Yu Zai-Chen Zhang National Mobile Communications Research Laboratory Southeast University Nanjing China Frontiers Science Center for Mobile Information Communication and Security Nanjing China Quantum Information Center of Southeast University Nanjing China State Key Lab of Millimeter Waves Southeast University Nanjing China Yangtze Delta Region Industrial Innovation Center of Quantum and Information Technology Suzhou China

ISBN: (纸本)9781665450867

Using variational quantum eigensolver (VQE) algorithm to realize ground state energy calculation on noisy intermediate-scale quantum (NISQ) devices is widely applied in quantum physics, quantum chemistry, and other fields. It can simulate chemical molecules to solve the energy solution required by chemical reactions. This paper proposes an optimized cost function for the original meta-VQE and combines it with the quantum architecture search algorithm to break the limitation of the fixed structure. To expand the penalty degree of error and obtain more accurate results, two indicators are added to the original cost function including the slope error of discrete predicted value and accurate value as well as the error of the first value. The results show that the optimized algorithm can learn more characteristics of the ground state energy changing trend in the noise channel, and obtain a more accurate estimate of equilibrium bond length.

关键词： Wireless communication Training Stationary state Signal processing algorithms Channel estimation Computer architecture Signal processing

Sampling timing jitter in dispersion-managed frequency microcombs via a fiber interferometer

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Sampling timing jitter in dispersion-managed frequency micro...

Conference on Lasers and Electro-Optics (CLEO)

作者： Wenting Wang Hao Liu Tristan Melton Jinghui Yang Abhinav Kumar Vinod Jinkang Lim Yoon-Soo Jang Heng Zhou Mingbin Yu Dim-Lee Kwong Peter DeVore Jason Chou Chee Wei Wong Fang Lu Mesoscopic Optics and Quantum Electronics Laboratory University of California Los Angeles CA United States of America Key Lab of Optical Fiber Sensing and Communication Networks University of Electronic Science and Technology of China Chengdu China Institute of Microelectronics A*STAR Singapore Singapore State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology and Shanghai Industrial Technology Research Institute Shanghai China Lawrence Livermore National Laboratory Livermore CA United States of America

We characterized timing jitter of dispersion-managed frequency microcomb with femtosecond timing resolution through fiber interferometry for the first time. The measured timing jitter PSD and integrated timing jitter ... 详细信息

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Timing jitter Time-frequency analysis Fluctuations Measurement by laser beam Optical variables measurement Timing Ultrafast optics

Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

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arXiv 2023年

作者： Huang, Zhuo Zhu, Miaoxi Xia, Xiaobo Shen, Li Yu, Jun Gong, Chen Han, Bo Du, Bo Liu, Tongliang Syndey Ai Centre The University of Sydney Australia National Engineering Research Center for Multimedia Software Institute of Artificial Intelligence School of Computer Science Hubei Key Laboratory of Multimedia and Network Communication Engineering Wuhan University China Jd Explore Academy China Department of Automation University of Science and Technology of China China Key Lab. of Intelligent Percept. and Syst. for High-Dimensional Information of Ministry of Education School of Computer Science and Engineering Nanjing University of Science and Technology China Department of Computer Science Hong Kong Baptist University Hong Kong

Robust generalization aims to tackle the most challenging data distributions which are rare in the training set and contain severe noises, i.e., photon-limited corruptions. Common solutions such as distributionally robust optimization (DRO) focus on the worst-case empirical risk to ensure low training error on the uncommon noisy distributions. However, due to the over-parameterized model being optimized on scarce worst-case data, DRO fails to produce a smooth loss landscape, thus struggling on generalizing well to the test set. Therefore, instead of focusing on the worst-case risk minimization, we propose SharpDRO by penalizing the sharpness of the worst-case distribution, which measures the loss changes around the neighbor of learning parameters. Through worst-case sharpness minimization, the proposed method successfully produces a flat loss curve on the corrupted distributions, thus achieving robust generalization. Moreover, by considering whether the distribution annotation is available, we apply SharpDRO to two problem settings and design a worst-case selection process for robust generalization. Theoretically, we show that SharpDRO has a great convergence guarantee. Experimentally, we simulate photon-limited corruptions using CIFAR10/100 and ImageNet30 datasets and show that SharpDRO exhibits a strong generalization ability against severe corruptions and exceeds well-known baseline methods with large performance gains. Copyright © 2023, The Authors. All rights reserved.

关键词： Optimization