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Cryptanalysis of a quantum identity-based signature and its improvement

quantum information processing 2024年第9期23卷 1-16页

作者： Rao, Y. Sreenivasa Srivastava, Vikas Mohanty, Tapaswini Debnath, Sumit Kumar Natl Inst Technol Warangal Dept Math Warangal 506004 Telangana India Natl Inst Technol Jamshedpur Dept Math Jamshedpur 831014 India IIT Madras Dept Math Chennai 600036 India

Digital signatures are one of the key cryptographic components for providing authenticity and non-repudiation. To circumvent the need of certificates, Shamir in 1984 introduced identity-based signature (IBS). Nearly all of the existing state-of-the-art IBS schemes are relying on the number-theoretic hardness assumptions. Unfortunately, these hard problems are insecure and face a threat in quantum world. Thus, it is high time to design and analyze IBS algorithms that can resist quantum attacks and provide long-term security. quantum cryptography is one such technique to provide quantum-safe IBS. In this paper, we cryptanalyze the quantum cryptography-based IBS of Huang et al. (Huang et al. in quantum Inf Process 22(1):36, 2022). We show that the design in (Huang et al. in quantum Inf Process 22(1):36, 2022) is not secure against public key generator forgery attack, collusion attacks, and intercept and resend attacks. Next, we modify the design of (Huang et al. in quantum Inf Process 22(1):36, 2022) and propose a new quantum IBS (namely qIBS) which is secure against the aforementioned attacks.

关键词： Digital signature Identity-based signature quantum secure signature Cryptanalysis Key-controlled quantum onetime pad

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quantum computing basics, applications and future perspectives

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JOURNAL OF MOLECULAR STRUCTURE 2024年 1308卷

作者： Balamurugan, K. S. Sivakami, A. Mathankumar, M. Prasad, Yalla Jnan Devi Satya Ahmad, Irfan Karpaga Vinayaga Coll Engn & Technol Dept Elect & Commun Engn Chengalpattu 603308 Tamil Nadu India Sri Eshwar Coll Engn Dept Phys Coimbatore 641202 Tamilnadu India Karpaga Vinayaga Coll Engn & Technol Dept Comp Sci & Engn Chennai 608308 Tamil Nadu India Malla Reddy Univ Dept Comp Sci & Engn Hyderabad 500043 Telangana India King Khalid Univ Coll Appl Med Sci Dept Clin Lab Sci Abha Saudi Arabia

quantum Computing observed a significant rise to public and technologies in past three decades, the reason behind for the development of quantum computing is to solve various problems which are so complex that traditional (classical) computers were not able to solve. New technologies, hardware components and software advancements are being discovered all around the world in order to use this powerful tool. But in addition to the development of technologies and the attempt to scale up the quantum computers, new challenges and problems too came in light which makes it tough for further progress in the quest to unlock the true development of quantum computers. Various methods has been identified for quantum information processing (QIP), but the error rates were more than what we would expect often resulting in inappropriate computations which eventually gives inaccurate *** this work, we discuss about the prominent hardware and software methods to build the quantum computers with low error rates and better accuracy, we will look onto the topics related to qubits and its principles which are incorporated in quantum processing Units (QPUs) which govern the working of quantum computers, the topics of quantum algorithms and its methodology are also been discussed to provide a clear understanding of the manipulation of qubits according to the purpose needed. In addition to that we will talk about the applications like quantum teleportation and cryptography which utilizes the quantum computers, and discuss about the future enhancements which can be done using this technology.

关键词： Qubits quantum computing quantum cryptography Superposition

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quantum information processing and quantum Simulation with Programmable Rydberg Atom Arrays

Quantum Information Processing and Quantum Simulation with P...

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作者： Levine, Harry Jay Harvard University

学位级别：Ph.D.

A frontier challenge in quantum science and technology is the construction of scalable quantum systems which can operate in regimes beyond classical simulatability. Such systems can be used as tools for simulating and exploring complex phenomena in quantum physics; they can also be used to benchmark and test quantum algorithms. Several experimental platforms, based on a variety of quantum mechanical building blocks, are currently being pursued with these goals in mind, with state-of-the-art systems capable of controlling up to around fifty particles. In this thesis, we present the development of a new platform based on individually controlled neutral atoms. In this approach, hundreds of individual atoms are trapped in an array of optical tweezers, and they are sorted in real-time into programmable geometries in one and two dimensions. After initialization of an array, atom interactions are switched on by coherent excitation to highly excited Rydberg states, resulting in a rich spin Hamiltonian. We experimentally advance several key aspects of this platform, developing new tools for controlling strongly interacting atom arrays and probing novel quantum phases and non-equilibrium dynamics. We additionally utilize Rydberg interactions to entangle atoms, demonstrating high fidelity universal quantum logic gates as well as the preparation of fully entangled Schrödinger cat states. This work highlights the prospects for scalable quantum simulation and quantum information processing beyond the limit of classical computation using neutral atom arrays.

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Characterization of the Complexity of Computing the Minimum Mean Square Error of Causal Prediction

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IEEE TRANSACTIONS ON information THEORY 2024年第9期70卷 6627-6638页

作者： Boche, Holger Pohl, Volker Poor, H. Vincent Tech Univ Munich Chair Theoret Informat Technol D-80333 Munich Germany BMBF Res Hub 6G Life D-80333 Munich Germany Ctr Quantum Sci & Technol MCQST D-80799 Munich Germany Munich Quantum Valley MQV D-80807 Munich Germany Princeton Univ Dept Elect & Comp Engn Princeton NJ 08544 USA

This paper investigates the complexity of computing the minimum mean square prediction error for wide-sense stationary stochastic processes. It is shown that if the spectral density of the stationary process is a strictly positive, computable continuous function then the minimum mean square error (MMSE) is always a computable number. Nevertheless, we also show that the computation of the MMSE is a #P-1 complete problem on the set of strictly positive, polynomial-time computable, continuous spectral densities. This means that if, as widely assumed, FP1 not equal #P-1 , then there exist strictly positive, polynomial-time computable continuous spectral densities for which the computation of the MMSE is not polynomial-time computable. These results show in particular that under the widely accepted assumptions of complexity theory, the computation of the MMSE is generally much harder than an $NP_{1}$ complete problem.

关键词： Stochastic processes Finite impulse response filters Computational complexity Turing machines Signal processing algorithms Filtering theory Prediction algorithms Wiener prediction filter minimum mean square error computability Turing machine complexity theory complexity blowup

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Acceleration of High-Dimensional quantum Computing Simulator quantumSkynet 10th

Acceleration of High-Dimensional Quantum Computing Simulator...

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10th Latin American Conference on High Performance Computing (CARLA)

作者： Zuluaga-Bucheli, Hernan M. Giraldo Carvajal, Andres Jaramillo-Villegas, Jose A. Univ Tecnol Pereira Pereira Colombia Lab Res Complex Syst Menlo Pk CA 94025 USA

ISBN: (纸本)9783031521850;9783031521867

This paper focuses on the acceleration of quantumSkynet, a high-dimensional quantum computing simulator. quantumSkynet enables operations with qudits (generalized quantum bits), by executing quantum circuits, which are fundamentally based on tensor products and Kronecker operations. However, these integral functions within the simulator are currently not optimized. The proposed acceleration method involves a combination of hardware and software enhancements. Hardware acceleration will be achieved through the use of graphical processing units (GPUs) and multicore processing units, while software acceleration will be implemented via the Eigen library. These enhancements can significantly improve the performance of quantumSkynet, with speedups of up to 100x. This makes it possible to simulate larger quantum systems and algorithms, which is essential for the development of practical quantum computing applications. For example, the proposed method could be used to accelerate the simulation of quantum systems with many qubits, or quantum algorithms with numerous steps. The results of this study suggest that the proposed method can be used to accelerate the performance of future high-dimensional quantum computing simulators and to enable the development of practical quantum computing applications.

关键词： quantumSkynet high-dimensional quantum Computing simulator Qudit operations quantum circuits Tensor products Kronecker operations Hardware acceleration Software acceleration Graphical processing Units (GPUs) Multicore processing units Hyperthreading CPU processors Performance optimization

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Distributed quantum circuit partitioning and optimization based on combined spectral clustering and search tree strategies

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Chinese Physics B 2025年第5期34卷 237-248页

作者： Zilu Chen Zhijin Guan Shuxian Zhao Xueyun Cheng School of Artificial Intelligence and Computer Science Nantong UniversityNantong 226019China College of Engineering the Internet of Things Taihu UniversityWuxi 214063China Jiangsu Huihuan Environmental Protection Technology Co. Ltd.Nantong 226010China

In the current noisy intermediate-scale quantum(NISQ)era,a single quantum processing unit(QPU)is insufficient to implement large-scale quantum algorithms;this has driven extensive research into distributed quantum computing(DQC).DQC involves the cooperative operation of multiple QPUs but is concurrently challenged by excessive communication *** address this issue,this paper proposes a quantum circuit partitioning method based on spectral *** approach transforms quantum circuits into weighted graphs and,through computation of the Laplacian matrix and clustering techniques,identifies candidate partition schemes that minimize the total weight of the ***,a global gate search tree strategy is introduced to meticulously explore opportunities for merged transfer of global gates,thereby minimizing the transmission cost of distributed quantum circuits and selecting the optimal partition scheme from the ***,the proposed method is evaluated through various comparative *** experimental results demonstrate that spectral clustering-based partitioning exhibits robust stability and efficiency in runtime in quantum circuits of different *** experiments involving the quantum Fourier transform algorithm and Revlib quantum circuits,the transmission cost achieved by the global gate search tree strategy is significantly optimized.

关键词： NISQ era distributed quantum computing quantum circuit partitioning transmission cost

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QCA: quantum Computational Approach for Internet of Things with 5G Connectivity

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information 2025年第1期16卷

作者： Selvarajan, Shitharth Manoharan, Hariprasath Khadidos, Adil O. Khadidos, Alaa O. Leeds Beckett Univ Sch Built Environm Engn & Comp Leeds LS1 3HE England Panimalar Engn Coll Dept Elect & Commun Engn Chennai 600123 India King Abdulaziz Univ Fac Comp & Informat Technol Dept Informat Technol Jeddah 21589 Saudi Arabia King Abdulaziz Univ Fac Comp & Informat Technol Dept Informat Syst Jeddah 21589 Saudi Arabia

In this paper, the need for a quantum computing approach is analyzed for IoT applications using the 5G resource spectrum. Most of the IoT devices are connected for data transmission to end users with remote monitoring units, but there are no sufficient data storage units, and more data cannot be processed at minimized time periods. Hence, in the proposed method, quantum information processing protocols and quantum algorithms are integrated where data transmissions are maximized. Further, the system model is designed in such a way for checking the external influence factors that prevent the IoT device from transmitting data to end users. Therefore, with corresponding signal and noise power, it is essential to process the transmissions, thereby increasing data proportions at end connectivity. Once quantum computations are performed, then it is crucial to normalize IoT data units, thus establishing control over entire connected nodes that create a gateway for achieving maximum throughput. The combined system model is tested under four cases where the comparative outcomes prove that with reduced queue reductions of 12%, it is possible to achieve a maximum throughput of 99%.

关键词： quantum computing internet of things (IoT) fifth generation networks (5G) communication units

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A quantum moving target segmentation algorithm based on mean background modeling

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quantum information processing 2024年第11期23卷 1-20页

作者： Wang, Lu Liu, Yuxiang Meng, Fanxu Zhang, Zaichen Yu, Xutao Southeast Univ Sch Informat Sci & Engn 2 Southeast Univ Rd Nanjing 211189 Jiangsu Peoples R China Southeast Univ State Key Lab Millimeter Waves 2 Southeast Univ Rd Nanjing 211189 Jiangsu Peoples R China Southeast Univ Frontiers Sci Ctr Mobile Informat Commun & Secur 2 Southeast Univ Rd Nanjing 211189 Jiangsu Peoples R China Nanjing Tech Univ Coll Artificial Intelligence 30 Puzhu Nan Rd Nanjing 211800 Jiangsu Peoples R China Southeast Univ Natl Mobile Commun Res Lab 2 Southeast Univ Rd Nanjing 211189 Jiangsu Peoples R China Purple Mt Labs 9 Mozhou Dong Rd Nanjing 211111 Jiangsu Peoples R China

Classical algorithms for moving target segmentation have made significant progress, but the real-time problem has become a significant obstacle for them as the data volume grows. quantum computing has been proven to be beneficial for image segmentation, but is still scarce for video. In this paper, a quantum moving target segmentation algorithm based on mean background modeling is proposed, which can utilize the quantum mechanism to do segmentation operations on all pixels in a video at the same time. In addition, a quantum divider with lower quantum cost is designed calculate pixel mean, and then, a number of quantum modules are designed according to the algorithmic steps to build the complete quantum algorithmic circuit. For a video containing 2m\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2<^>m$$\end{document} frames (every frame is a 2nx2n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2<^>n \times 2<^>n$$\end{document} image with q grayscale levels), the proposed algorithm is superior compared to both existing quantum and classical algorithms. Finally, the experiment on IBM Q shows the feasibility of the algorithm in the NISQ era.

关键词： quantum image processing quantum video representation quantum video segmentation Mean background modeling

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quantum-Position-Locked Loop: New Concept for Collaborative Beam Forming for UAV Swarm

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IEEE WIRELESS COMMUNICATIONS LETTERS 2025年第2期14卷 440-444页

作者： Arya, Sudhanshu Wang, Ying Vellore Inst Technol Sch Elect Vellore 632014 India Stevens Inst Technol Sch Syst & Enterprises Hoboken 07030 NJ USA

Future developments in aerial communication infrastructures hold great potential for further enhancement through the use of synchronized, harmonious swarms of uncrewed aerial vehicles (UAVs), capable of performing high-precision tasks such as beamforming and distributed Multiple Input Multiple Output (MIMO), where multiple transmitting and receiving antennas are spread across different locations, rather than being concentrated in a single device or base station. Collaborative UAV swarm-assisted distributed beam forming faces significant electronic and mechanical challenges due to the random hovering effects. We propose a novel quantum computing method for distributed beam-reforming in hovering-impaired UAV-assisted systems. Introducing the concept of quantum-position-lock loop (Q-P-LL), we achieve real-time positioning and accurate tracing of UAVs through a novel quantum optimization of combined Grover/Nelder-Mead algorithms. Q-P-LL overcomes beam distortion caused by random hovering, dynamically collects real-time positioning information, and predicts joint positioning control signals for beam-reforming, which forms reliable aerial links by flexible and accessible UAV hardware. Our results demonstrates robust performance despite the existence of measurement errors in the Angle of Arrival (AoA) within 10 degrees. This allows us to maintain the accuracy of the position lock at an average of 2.5 cm among UAV swarm size of 4, 6, and 8, guaranteeing a stable beam with high precision.

关键词： Autonomous aerial vehicles Array signal processing Accuracy Heuristic algorithms Optimization Antenna arrays Collaboration Real-time systems Synchronization quantum computing Beam forming Q-P-LL quantum UAV

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A new design of an efficient configurable circuit based on quantum-dot technology for digital image processing

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ANALOG INTEGRATED CIRCUITS AND SIGNAL processing 2025年第3期122卷 1-11页

作者： Tang, Ligang Kong, Tong Seyedi, Saied Hubei Polytech Univ Sch Elect & Elect Informat Engn Huangshi 435003 Peoples R China Daye Nonferrous Design & Res Inst Co Ltd Huangshi 435005 Peoples R China Bu Ali Sina Univ Fac Engn Dept Comp Engn Hamadan Iran

Image processing is the computational manipulation and analysis of digital images, encompassing various techniques and algorithms to enhance, transform, segment, and extract meaningful information from images. It plays a vital role in various fields, including computer vision, medical imaging, remote sensing, and entertainment, enabling tasks like object recognition, image enhancement, and pattern detection by utilizing methods such as filtering, edge detection, and machine learning to process visual data and extract valuable insights. Image processing circuits play a pivotal role in digital circuits, with quantum-dot Cellular Automata (QCA) technology emerging as a viable option for nano-scale circuit implementation. While QCA presents an enticing avenue for circuit design, it has faced setbacks due to a notable prevalence of fabrication defects, thereby instigating a compelling area of exploration within QCA circuitry. Simultaneously, the significance of morphological operation circuits in digital circuits and image processing system design cannot be overstated. In this context, the present study undertakes the challenge of crafting a distinctive QCA-based morphological operations circuit that excels in area efficiency, robustness, and fault tolerance. Within the realm of QCA nano-technology, integrating fault-tolerant gates and cell redundancy emerges as a key strategy to ensure fault tolerance. A prime example is using a 5-input fault-tolerant majority gate, ingeniously harnessed to construct an efficient fault-tolerant morphological operations circuit. To materialize this endeavor, the QCADesigner-E tool takes center stage and is employed to meticulously implement the devised circuits. The outcomes of this endeavor, including evaluations of single-cell defects, quantum cost, area utilization, and delay time, unequivocally demonstrate the superiority of the designed QCA circuit compared to its predecessors. Notably, the engineered circuit boasts a minimal delay

关键词： Image processing Nano Fault-tolerant Morphological operations Erosion Dilation

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