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2023 IEEE International Symposium on Information Theory, ISIT 2023

作者： Cheng, Hao-Chung Department of Electrical Engineering Graduate Institute of Communication Engineering National Taiwan University Taipei106 Taiwan Department of Mathematics National Taiwan University Taiwan Center for Quantum Science and Engineering National Taiwan University Taiwan Quantum Computing Center New Taipei City236 Taiwan Physics Division National Center for Theoretical Sciences Taipei10617 Taiwan

ISBN: (纸本)9781665475549

In this paper, we propose an elegant and simple one-shot achievability proof for classical-quantum channel coding. The established one-shot bound admits a closed-form expression as in the celebrated Holevo-Helstrom Theorem. Namely, the average error probability of sending M messages through a classical-quantum channel is upper bounded by the minimum error of distinguishing the joint state between channel input and output against (M-1)-many products of its marginals. Our result provides the tightest achievable one-shot capacity for classical-quantum channel coding, and it improves the third-order coding rate in the asymptotic scenario. Moreover, the derived bound directly leads to asymptotic achievability results in the large deviation, small deviation, and moderate deviation regimes in a unified *** full version of the manuscript can be found at [arXiv:2208.02132] [1]. © 2023 IEEE.

关键词： Channel coding

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Material recognition using single photon vibrometer

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Optics Express 2025年第13期33卷 27003-27013页

作者： Jeevanha Ramanathan Malvika Garikapati Ibsa Jalata Chinmay Kadrollimath Pranav Mahamuni Dylan Hoffman Priyanka Satyan Nick Vrahoretis Yong Meng Sua Yuping Huang Department of Physics Stevens Institute of Technology Hoboken NJ 07030 USA Center for Quantum Science and Engineering Stevens Institute of Technology Hoboken NJ 07030 USA Quantum Computing Inc Hoboken NJ 07030 USA

We demonstrate a single-photon vibrometer for material recognition, combining time-gated photon counting with machine learning. It captures unique vibrational characteristics of materials under acoustic excitation by measuring oscillating flux of the reflected photons projected onto a single spatial mode. The gating window is electronically swept to temporally locate the target while minimizing the background photon counts, thereby enabling faithful measurements under photon-starved operations. The system achieves high classification accuracy by analyzing various machine learning models, including deep learning architectures like fully connected networks and convolutional neural networks. Our results suggest new tools for non-destructive testing, remote sensing, and structural health monitoring, providing robust material recognition in challenging environments.

关键词： Deep learning Machine learning Material properties Neural networks Photon counting Single mode fibers

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General-Purpose quantum Circuit Generator for Partially Fault-Tolerant quantum computing Architecture

General-Purpose Quantum Circuit Generator for Partially Faul...

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quantum computing and engineering (QCE), IEEE International Conference on

作者： Yutaro Akahoshi Jun Fujisaki Hirotaka Oshima Shintaro Sato Keisuke Fujii Quantum Laboratory Fujitsu Research Fujitsu Limited Kanagawa Japan Fujitsu Quantum Computing Joint Research Division Center for Quantum Information and Quantum Biology Osaka University Toyonaka Osaka Japan Graduate School of Engineering Science Osaka University Toyonaka Osaka Japan RIKEN Center for Quantum Computing (RQC) Wako Saitama Japan

ISBN: (数字)9798331541378

ISBN: (纸本)9798331541385

quantum computers hold the promise of revolutionizing several computational tasks by significantly enhancing their calculation speed compared to classical computers. However, there is still a large gap towards fault-tolerant quantum computing (FTQC) due to the large requirement of physical qubits. Under these circumstances, authors proposed a partially fault-tolerant quantum computing architecture that consists of the fault-tolerant Clifford gates and the sufficiently clean analog rotation gate, named “Space-Time efficient Analog Rotation gate quantum computing architecture (STAR architecture).” Although its theoretical foundation is given, we need to develop an efficient software implementation tailored for STAR architecture due to its unique choice of the fundamental gate set. In this study, we construct an integrated software system of STAR-architecture-based quantum computation, which generates physical instructions executable on quantum devices from input logical quantum circuits. The system mainly consists of two parts, a circuit converter and an operation controller. The circuit converter comprises a set of conversion subroutines, which bridge several instruction layers: logical circuit layer, lattice surgery layer, and physical circuit layer. The operation controller efficiently executes the generated instructions. Especially, it enables efficient treatment of the analog rotation gate, which needs real-time scheduling of running instructions due to its probabilistic nature.

关键词： Computers Fault tolerance quantum computing Fault tolerant systems Stars quantum mechanics Surgery Computer architecture Logic gates quantum circuit

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Non-Gaussian State Generation Using A Photon Detector With Finite Timing Jitter

Non-Gaussian State Generation Using A Photon Detector With F...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Tatsuki Sonoyama Warit Asavanant Kan Takase Kosuke Fukui Mamoru Endo Jun-ichi Yoshikawa Akira Furusawa Department of Applied Physics School of Engineering The University of Tokyo Tokyo Japan Optical Quantum Computing Research Team RIKEN Center for Quantum Computing Saitama Japan

We formulate for the first time the effect of photon detector’s timing jitter on non-Gaussian state generation. As a result, we obtain the quantitative relation between the jitter and the fidelity of the generated st... 详细信息

ISBN: (纸本)9781957171258

关键词： Analytical techniques Avalanche photodiodes Continuous wave operation Detectors Sensors Single photon detectors

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quantum sequential scattering model for quantum state learning

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Physical Review A 2024年第6期109卷 062425-062425页

作者： Mingrui Jing Geng Liu Hongbin Ren Xin Wang Thrust of Artificial Intelligence Information Hub School of Science and Engineering The Chinese University of Hong Kong (Shenzhen) Longgang Shenzhen 518172 China Institute for Quantum Computing

Learning probability distribution is an essential framework in classical learning theory. As a counterpart, quantum state learning has spurred the exploration of quantum machine learning theory. However, as dimensionality increases, learning a high-dimensional unknown quantum state via conventional quantum neural network approaches remains challenging due to trainability issues. In this work we devise the quantum sequential scattering model, inspired by the classical diffusion model, to overcome this scalability issue. Training of our model could effectively circumvent the vanishing gradient problem for a large class of high-dimensional target states possessing polynomial-scaled Schmidt ranks. Theoretical analysis and numerical experiments provide evidence for our model's effectiveness in learning both physically and algorithmically meaningful quantum states and outperform the conventional approaches in training speed and learning accuracy. Our work indicates that an increasing entanglement (a property of quantum states) in the target states necessitates a larger-scaled model, which could reduce our model's learning performance and efficiency.

关键词： Machine learning quantum algorithms quantum algorithms & computation quantum entanglement

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Entanglement-enhanced optimal quantum metrology

arXiv

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arXiv 2024年

作者： Rahim, Muhammad Talha Al-Kuwari, Saif Ali, Asad Qatar Centre for Quantum Computing College of Science and Engineering Hamad Bin Khalifa University Doha Qatar

quantum optimal control (QOC) schemes can be employed to enhance the sensitivity of quantum metrology (QM) protocols undergoing Markovian noise, which can limit their precision to a standard quantum limit (SQL)-like scaling. In this paper, we propose a QOC scheme for QM that leverages entanglement and optimized coupling interactions with an ancillary system to provide enhanced metrological performance under general Markovian dynamics. We perform a comparative analysis of our entanglement-enhanced scheme against the unentangled scheme conventionally employed in QOC-enabled QM for varying evolution times and decoherence levels, revealing that the entanglement-enhanced scheme enables significantly better noise performance, even when a noisy ancilla is employed. We further extend our investigation to time-inhomogeneous noise models, specifically focusing on a noisy frequency estimation scenario within a spin-boson bath, and evaluate the protocol’s performance under completely dissipative and dephasing dynamics. Our findings indicate that, in certain situations, schemes employing coherent control of a single particle are severely limited. In such cases, employing the entanglement-enhanced scheme can provide improved performance. © 2024, CC BY.

关键词： Frequency estimation

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Preparing a commercial quantum key distribution system for certification against implementation loopholes

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Physical Review Applied 2024年第4期22卷 044076页

作者： Vadim Makarov Alexey Abrikosov Poompong Chaiwongkhot Aleksey K. Fedorov Anqi Huang Evgeny Kiktenko Mikhail Petrov Anastasiya Ponosova Daria Ruzhitskaya Andrey Tayduganov Daniil Trefilov Konstantin Zaitsev Skolkovo Moscow 121205 Russia Vigo Quantum Communication Center NTI Center for Quantum Communications Department of Physics Faculty of Science Institute for Quantum Computing Department of Physics and Astronomy Quantum technology foundation (Thailand) Bangkok 10110 Thailand QRate Skolkovo Moscow 143026 Russia Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer Science and Technology Moscow 119991 Russia atlanTTic Research Center School of Telecommunication Engineering Department of Signal Theory and Communications Moscow 101000 Russia

A commercial quantum key distribution (QKD) system needs to be formally certified to enable its wide deployment. The certification should include the system’s robustness against known implementation loopholes and attacks that exploit them. Here we ready a fiber-optic QKD system for this procedure. The system has a prepare-and-measure scheme with decoy-state BB84 protocol, polarization encoding, a qubit source rate of 312.5 MHz, and is manufactured by QRate. We detail its hardware and postprocessing. We analyze the hardware for known implementation loopholes, search for possible new loopholes, and discuss countermeasures. We then amend the system design to address the highest-risk loopholes identified. We also work out technical requirements on the certification lab and outline its possible structure.

关键词： quantum communication quantum cryptography quantum protocols

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Experimental quantum simulation of a topologically protected Hadamard gate via braiding Fibonacci anyons

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The Innovation 2023年第5期4卷 41-46页

作者： Yu-ang Fan Yingcheng Li Yuting Hu Yishan Li Xinyue Long Hongfeng Liu Xiaodong Yang Xinfang Nie Jun Li Tao Xin Dawei Lu Yidun Wan Shenzhen Institute for Quantum Science and Engineering and Department of Physics Southem University of Science and Technology Shenzhen 518055China State Key Laboratory of Surface Physics Department of PhysicsCenter for Field Theory and Particle Physicsand Institute for Nanoelectronic Devices and Quantum ComputingFudan UniversityShanghai 200433and Shanghai Qi Zhi InstituteShanghai 200030China School of Physics Hangzhou Normal UniversityHangzhou 311121China

Topological quantum computation(TQC)is one of the most striking architectures that can realize fault-tolerant quantum *** TQC,the logical space and the quantum gates are topologically protected,i.e.,robust against local *** topological protection,however,requires complicated lattice models and hard-to-manipulate dynamics;even the simplest system that can realize universal TQC-the Fibonacci anyon system—lacks a physical realization,let alone braiding the non-Abelian ***,we propose a disk model that can simulate the Fibonacci anyon system and construct the topologically protected logical spaces with the Fibonacci *** braiding the Fibonacci anyons,we can implement universal quantum gates on the logical *** disk model merely requires two physical qubits to realize three Fibonacci anyons at the *** 15 sequential braiding operations,we construct a topologically protected Hadamard gate,which is to date the least-resource requirement for *** showcase,we implement a topological Hadamard gate with two nuclear spin qubits,which reaches 97.18%fidelity by randomized *** further prove by experiment that the logical space and Hadamard gate are topologically protected:local disturbances due to thermal fluctuations result in a global phase *** a platform-independent proposal,our work is a proof of principle of TQC and paves the way toward fault-tolerant quantum computation.

关键词： Fibonacci Hadamard TQC

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Noisy intermediate-scale quantum computers

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Frontiers of physics 2023年第2期18卷 1-62页

作者： Bin Cheng Xiu-Hao Deng Xiu Gu Yu He Guangchong Hu Peihao Huang Jun Li Ben-Chuan Lin Dawei Lu Yao Lu Chudan Qiu Hui Wang Tao Xin Shi Yu Man-Hong Yung Junkai Zeng Song Zhang Youpeng Zhong Xinhua Peng Franco Nori Dapeng Yu Shenzhen Institute for Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China International Quantum Academy Shenzhen 518048China Guangdong Provincial Key Laboratory of Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Physics Southern University of Science and TechnologyShenzhen 518055China Hefei National Research Center for Physical Sciences at the Microscale and School of Physical Sciences University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Hefei National Laboratory University of Science and Technology of ChinaHefei 230088China CAS Key Laboratory of Microscale Magnetic Resonance and School of Physical Sciences University of Science and Technology of ChinaHefei 230026China Quantum Computing Center and Cluster for Pioneering Research RIKENWakoshiSaitama 351-0198Japan Physics Department University of MichiganAnn ArborMI 48109-1040USA

quantum computers have made extraordinary progress over the past decade,and significant milestones have been achieved along the path of pursuing universal fault-tolerant quantum *** advantage,the tipping point heralding the quantum era,has been accomplished along with several waves of *** hardware has become more integrated and architectural compared to its toddler *** controlling precision of various physical systems is pushed beyond the fault-tolerant ***,quantum computation research has established a new norm by embracing industrialization and *** joint power of governments,private investors,and tech companies has significantly shaped a new vibrant environment that accelerates the development of this field,now at the beginning of the noisy intermediate-scale quantum ***,we first discuss the progress achieved in the field of quantum computation by reviewing the most important algorithms and advances in the most promising technical routes,and then summarizing the next-stage ***,we illustrate our confidence that solid foundations have been built for the fault-tolerant quantum computer and our optimism that the emergence of quantum killer applications essential for human society shall happen in the future.

关键词： quantum computer quantum algorithm quantum chip

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PVDM-YOLOv8l: a solution for reliable pedestrian and vehicle detection in autonomous vehicles under adverse weather conditions

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Multimedia Tools and Applications 2024年 1-26页

作者： Tahir, Noor Ul Ain Zhang, Zuping Asim, Muhammad Iftikhar, Sundas A. Abd El-Latif, Ahmed School of Computer Science and Engineering Central South University Changsha410083 China EIAS Data Science Lab College of Computer and Information Sciences and Center of Excellence in Quantum and Intelligent Computing Prince Sultan University Riyadh11586 Saudi Arabia Gianforte School of Computing Montana State University Bozeman59717 United States Department of Mathematics and Computer Science Faculty of Science Menoufia University Shebin El-Koom32511 Egypt

Ensuring the safe navigation of autonomous vehicles in intelligent transportation system depends on their ability to detect pedestrians and vehicles. While transformer-based models for object detection have shown remarkable advancements, accurately identifying pedestrians and vehicles in adverse weather conditions remains a challenging task. Adverse weather introduces image quality degradation, leading to issues such as low contrast, reduced visibility, blurred edges, false detection, misdetection of tiny objects, and other impediments that further complicate the accuracy of detection. This paper introduces a novel Pedestrian and Vehicle Detection Model under adverse weather conditions, denoted as PVDM-YOLOv8l. In our proposed model, we first incorporate the Swin-Transformer method, which is designed for global extraction of feature of small objects to identify in poor visibility, into the YOLOv8l backbone structure. To enhance detection accuracy and address the impact of inaccurate features on recognition performance, CBAM is integrated between the neck and head networks of YOLOv8l, aiming to gather crucial information and obtain essential data. Finally, we adopted the loss function Wise-IOU v3. This function was implemented to mitigate the adverse effects of low-quality instances by minimizing negative gradients. Additionally, we enhanced and augmented the DAWN dataset and created a custom dataset, named DAWN2024, to cater to the specific requirements of our study. To verify the superiority of PVDM-YOLOV8l, its performance was compared against several commonly used object detectors, including YOLOv3, YOLOv3-tiny, YOLOv3-spp, YOLOv5, YOLOv6, and all the versions of YOLOv8 (n, m, s, l, and x) and some traditional models. The experimental results demonstrate that our proposed model achieved a 6.6%, 5.4%, 6%, and 5.1% improvement in precision, recall, F1-score and mean Average Precision (mAP) on the custom DAWN2024 dataset. This substantial improvement in accuracy ind

关键词： Vehicle detection

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