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Conference on quantum Computing, Communication, and Simulation IV

作者： Covey, Jacob P. Li, Lintao Huie, William Hu, Xiye Jia, Zhubing Aakash Sun, Won Kyu Calvin Dong, Yuhao Hiri-O-Tuppa, Tree Univ Illinois Dept Phys Urbana IL 61801 USA

ISBN: (纸本)9781510670839;9781510670822

In this Invited Paper, we will summarize our vision for quantum networks based on arrays of individual neutral atoms. With a photonic interface such as an optical cavity, some atoms in the array - the "communication" qubits - can establish remote entanglement while others - the "data" qubits - are used for large-scale quantum information processing or for quantum-enhanced metrology via an atomic clock transition. Deterministic gates within the array will enable operations and algorithms that are distributed among all the qubits in two or more nodes. Additionally, we will discuss our efforts to realize this vision with arrays of ytterbium-171 atoms in optical tweezers, in which telecom-band photons can be directly entangled with nuclear spin qubits without the need for wavelength conversion.

关键词： Atom-photon entanglement atom arrays quantum computation atomic clocks

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Application of Big Data and quantum Computing in the Secure Federated Internet of Things

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SPIN 2025年第2期15卷

作者： Xu, Lingyue Jiang, Guosong He, Bowen Hubei Univ Sch Comp & Informat Engn Wuhan 430063 Peoples R China Huanggang Normal Univ Coll Comp Sci Huanggang 550001 Peoples R China Nanjing Univ Sci & Technol Dept Comp Sci Nanjing Jiangsu Peoples R China

Federated Internet of Things (IoT) presents both unprecedented opportunities and challenges in security and data management. This study explores the integration of big data analytics and quantum Computing as potential solutions to address security concerns within the Federated IoT ecosystem. The study examines the implications of leveraging big data analytics to process and analyze the massive volume of data generated by IoT devices. Advanced analytics techniques, including machine learning and anomaly detection algorithms, are employed to enhance the detection and mitigation of security threats such as unauthorized access, data breaches and malicious attacks. Furthermore, the study investigates the role of quantum Computing infrastructure in providing scalable and reliable resources for securely storing, processing and transmitting IoT data. By offloading computational tasks to quantum-based platforms, the aim is to alleviate the burden on edge devices while ensuring robust security measures are in place to safeguard sensitive information. A comprehensive review of existing literature and case studies identifies key challenges and opportunities in implementing big data and quantum Computing solutions within the Federated IoT environment. The study also proposes potential frameworks and methodologies for integrating these technologies effectively, considering factors such as data privacy, scalability and interoperability. Overall, this research aims to advance secure IoT systems by leveraging big data analytics and cloud computing. By addressing security concerns proactively and adopting innovative approaches, the goal is to create a more resilient and trustworthy Federated IoT ecosystem, benefiting society at large.

关键词： Big data quantum computing cloud computing Internet of Things

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quantum fast corner detection algorithm

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quantum information processing 2023年第8期22卷 1-22页

作者： Yuan, Suzhen Lin, Wenping Hang, Bo Meng, Hongying Chongqing Univ Posts & Telecommun Coll Opto Elect Engn Chongqing 404100 Peoples R China Hubei Univ Arts & Sci Comp Sch Xiangyang 441054 Peoples R China Brunel Univ London Dept Elect & Elect Engn London England

Corners are very important local features for an image that can be widely used in many image processing tasks such as object detection, image recognition and data compression. However, current corner detection algorithms are complex and time consuming. In this paper, a new quantum fast corner detection algorithm is proposed taking full advantage of quantum parallelism. The algorithm is implemented in three steps: the 'nucleus' is defined and its neighborhood pixels are determined in the first step. Two thresholds are selected in the second step, and corners are obtained in the third step. The first and second steps are the same as the classical corner detection algorithm. The third step is divided into two stages. In the first stage, the differences between grayscale values of the nucleus and pixels in the neighborhood are calculated, followed by the comparison of those differences with the 'intensity threshold,' then is the quantum measurement on the comparison results, and finally the measured results are organized into an array. In the second stage, the array is used for counting, followed by the comparison of those counted results with the 'accuracy threshold,' and finally the corners are obtained. It is worth noting that through the quantum-classical-quantum mode, quantum resources can be reduced significantly. The analysis in the proposed quantum fast corner detection algorithm shows that the time complexity and quantum delay of the algorithm do not increase with the increase in the size and number of images, and its time complexity is exponentially lower than that of the classical fast corner detection algorithm.

关键词： quantum fast corner detection quantum full subtractor quantum parallelism Time complexity quantum simulation Qiskit framework

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quantum color image encryption based on controlled two-particle quantum walks

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MULTIMEDIA TOOLS AND APPLICATIONS 2023年第27期82卷 42679-42697页

作者： Su, Yining Wang, Xingyuan Dalian Maritime Univ Sch Informat Sci & Technol Dalian Peoples R China

Because of the impact of quantum computer and quantum algorithm on modern encryption algorithms, especially quantum computing can crack cryptographic protocols based on pseudo-random sequences. quantum walks are general model in quantum computing. It has nonlinear dynamic behavior and sensitivity to initial values. Therefore, quantum walks can be approximated as chaotic system, which provides a new idea for modern cryptography research. A color quantum image algorithm based on controlled two-particle quantum walks are proposed in this paper. This algorithm protects the privacy of images for people using the Internet. The algorithm uses the sequence generated by quantum walks and quantum rotation to scramble, and controls the NOT gate to perform the diffusion operation. Through the performance analysis, the correlation coefficient of the ciphertext images is close to 0, the NPCR and UACI are close to 99.60%, 33.46%, and the information entropy is close to 8, etc. Therefore, the present algorithm is safe and efficient.

关键词： quantum walks quantum image processing quantum image encryption Performance analysis

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quantum blockchain-enabled exchange protocol model for decentralized systems

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quantum information processing 2023年第11期22卷 1-35页

作者： Joshi, Shashank Choudhury, Arhan Minu, R. I. Univ Waterloo David R Cheriton Sch Comp Sci Waterloo ON Canada Cornell Univ Dept Comp Sci Ithaca NY USA SRM Inst Sci & Technol Dept Comp Technol Kattankulathur India

In recent years, blockchain technology has been established as a solution to a spectrum of issues associated with conventional financial systems, including but not limited to high transaction costs, slow processing times, and lack of transparency, leading to the proliferation of various digital assets and cryptocurrencies that are finding new use cases such as tokenization of real-world assets, access control systems, records management, etc. However, a significant impediment that has emerged is the need for interoperability between incompatible decentralized networks, which has thwarted the ability to exchange digital assets across these networks efficiently and securely. In this paper, the authors propose a novel quantum blockchain-enabled exchange protocol model (QBEEP) for the secure exchange of digital assets between various stakeholders on different decentralized networks, harnessing the potential of quantum computing, homomorphic encryption, and distributed ledgers. QBEEP is designed to be highly secure and transparent, ensuring stakeholders can trust the transaction's outcome. Furthermore, it addresses several challenges posed by quantum computing, including the susceptibility of traditional cryptographic systems to attacks by quantum computers. The authors use quantum key distribution and quantum-resistant cryptographic algorithms to ensure that the proposed model is secure against attacks by classical and quantum computers. The authors demonstrate the feasibility and effectiveness of QBEEP through simulation experiments, and the results show that the protocol is highly secure and efficient, with low overhead and fast execution time. The authors also compare QBEEP to existing solutions and show that it outperforms them in terms of security and efficiency. The proposed protocol provides a promising solution for the growing need for secure and efficient decentralized exchange platforms in the emerging digital economy.

关键词： Digital assets Blockchain quantum computing Homomorphic encryption Liquidity Decentralization Exchange protocol

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quantum speedups for stochastic optimization 37

Quantum speedups for stochastic optimization

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37th Conference on Neural information processing Systems (NeurIPS)

作者： Sidford, Aaron Zhang, Chenyi

ISBN: (纸本)9781713899921

We consider the problem of minimizing a continuous function given given access to a natural quantum generalization of a stochastic gradient oracle. We provide two new methods for the special case of minimizing a Lipschitz convex function. Each method obtains a dimension versus accuracy trade-off which is provably unachievable classically and we prove that one method is asymptotically optimal in low-dimensional settings. Additionally, we provide quantum algorithms for computing a critical point of a smooth non-convex function at rates not known to be achievable classically. To obtain these results we build upon the quantum multivariate mean estimation result of Cornelissen et al. [25] and provide a general quantum variance reduction technique of independent interest.

关键词： Economic and social effects

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Enhancing fluorescence of diamond NV- centers for quantum sensing: A multi-layer optical antireflection coating

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DIAMOND AND RELATED MATERIALS 2024年 141卷

作者： Song, Zhiying Yuan, Heng Fan, Pengcheng Li, Mingxin Shen, Jihongbo Wang, Sixian Bian, Guodong Beihang Univ Sch Instrumentat & Optoelect Engn Beijing 100191 Peoples R China Wigner Res Ctr Phys POB 49 H-1525 Budapest Hungary

The negatively charged nitrogen-vacancy centers (NV- centers) in diamonds possess outstanding magnetooptical properties and have broad applications in cutting-edge fields, such as quantum sensing, quantum communication, and quantum computing. However, the reflection loss around the wavelength of NV- photoluminescence (PL) spectrum caused by the diamond-air interface is still a drawback. In this work, a multi-layer optical antireflection coating was designed via genetic algorithms to resolve this problem. The simulation results show that coating can increase the average transmissivity from 82.90 % to 99.84 %. We coated the diamond sample with eight SiO2 and Ta2O5 overlapping layers based on the simulation results. After depositing the coating, the transmissivity increased from 83.84 % to 98.10 %, corresponding to a 17.01 % improvement. Furthermore, the intensity of the PL spectrum increased by a factor of 1.26, confirming the superior properties of the diamond-air interface with the coating. Finally, an NV-based magnetometer was constructed to prove the application significance of our coating. It was found that the sensitivity increased from 57.19 to 25.53 nT center dot Hz- 1/ 2. This scheme demonstrates the positive effect of coating in improving the system's comprehensive performance, especially signal-to-noise ratio, but also benefits the miniaturization and integration of diamond magnetometers, which will contribute to achieving related quantum information processing based on defective diamonds.

关键词： Antireflection coating Fluorescence intensity Magnetic field sensitivity

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quantum generalized least squares method in system identification

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quantum information processing 2024年第6期23卷 1-19页

作者： Kalantari, Sadegh Madady, Ali Ramezani, Mehdi Tafresh Univ Dept Elect Engn Tafresh Iran Tafresh Univ Dept Math Tafresh Iran

The least squares method-usually used to estimate different parameters-also leads to solving the equation Anxn theta nx1=ynx1\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$A_{n \times n} \,\theta_{n \times 1} = y_{n \times 1}$$\end{document} in system identification. The classical method (i.e., Cholesky decomposition) which is generally used to solve this problem has a computational complexity of On3\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$O\left( {n<^>{3} } \right)$$\end{document}. As we know, a greater number of samples yields better system modeling. With a larger input data, the computational complexity increases significantly. That is the case with Generalized Least Squares error identification (GLS method) as well. The proposed approach in this article to solve the aforementioned problem is to use quantum algorithms, which significantly reduce the computational complexity. Therefore, in this study, two methods, namely Classical quantum GLS (C-QGLS) and quantum GLS methods (QGLS), were proposed to ease the computational complexity. Unlike HHL, these two methods can estimate unbiased parameters despite the existence of color noise. Moreover, they can handle the issue of non-hermitian and ill-condition matrices. The complexity of C-QGLS and QGLS methods is Opolynlogn\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$O\left( {{\text{poly}}\left( n \right)\,\log n} \right)$$\end{document} and Opolylog(n2)\documentclass[12pt]{

关键词： quantum generalized least squares error System identification quantum algorithm Computational complexity

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quantum computing for financial risk measurement

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quantum information processing 2023年第1期22卷 1-38页

作者： Wilkens, Sascha Moorhouse, Joe London UK Oxford UK

quantum computing allows a significant speed-up over traditional CPU-and GPUbased algorithms when applied to particular mathematical challenges such as optimisation and simulation. Despite promising advances and extensive research in hard-and software developments, currently available quantum systems are still largely limited in their capability. In line with this, practical applications in quantitative finance are still in their infancy. This paper analyses requirements and concrete approaches for the application to risk management in a financial institution. On the examples of Value-at-Risk for market risk and Potential Future Exposure for counterparty credit risk, the main contribution lies in going beyond textbook illustrations and instead exploring must-have model features and their quantum implementations. While conceptual solutions and small-scale circuits are feasible at this stage, the leap needed for real-life applications is still significant. In order to build a usable risk measurement system, the hardware capacity-measured in number of qubits-would need to increase by several magnitudes from their current value of about 102. quantum noise poses an additional challenge, and research into its control and mitigation would need to advance in order to render risk measurement applications deployable in practice. Overall, given the maturity of established classical simulation-based approaches that allow risk computations in reasonable time and with sufficient accuracy, the business case for a move to quantum solutions is not very strong at this point.

关键词： quantum computing Finance Risk measurement Market risk Counterparty credit risk

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Experimental quantum natural gradient optimization in photonics

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OPTICS LETTERS 2023年第14期48卷 3745-3748页

作者： Wang, Yizhi Xue, Shichuan Wang, Yaxuan Ding, Jiangfang Shi, Weixu Wang, Dongyang Liu, Yong Liu, Yingwen Fu, Xiang Huang, Guangyao Huang, Anqi Deng, Mingtang Wu, Junjie Natl Univ Def Technol Inst Quantum Informat Coll Comp Sci & Technol Changsha 410073 Peoples R China Natl Univ Def Technol Coll Comp Sci & Technol State Key Lab High Performance Comp Changsha 410073 Peoples R China

Variational quantum algorithms (VQAs) combining the advantages of parameterized quantum circuits and clas-sical optimizers, promise practical quantum applications in the noisy intermediate-scale quantum era. The perfor-mance of VQAs heavily depends on the optimization method. Compared with gradient-free and ordinary gradient descent methods, the quantum natural gradient (QNG), which mir-rors the geometric structure of the parameter space, can achieve faster convergence and avoid local minima more easily, thereby reducing the cost of circuit executions. We uti-lized a fully programmable photonic chip to experimentally estimate the QNG in photonics for the first time, to the best of our knowledge. We obtained the dissociation curve of the He-H+ cation and achieved chemical accuracy, verifying the outperformance of QNG optimization on a photonic device. Our work opens up a vista of utilizing QNG in photonics to implement practical near-term quantum applications.& COPY;2023 Optica Publishing Group

关键词： Dense wavelength division multiplexing Phase shift Photonic devices quantum information quantum information processing Single photon detectors

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