检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Sakhouf, Hamid

This especially, thesis focuses on realizing on quantum quantum information gates and processing algorithms using in open the quantum superconducting systems. device, Such a device is constructed by transmon-type superconducting qubits coupled to a superconducting resonator. For the realization of quantum gates and algorithms, a one-step approach is used. We suggest faster and more efficient schemes for realizing X-rotation and entangling gates for two and three qubits. During these operations, the resonator photon number is canceled owing to the strong microwave field added. They do not require the resonator to be initially prepared in the vacuum state and the scheme is insensitive to resonator decay. Furthermore, the robustness of these operations is demonstrated by including the effect of the decoherence of transmon systems and the resonator decay in a master equation, and as a result high fidelity will be achieved in quantum simulation. In addition, using the implemented x-rotation gates as well as the phase gates, we present an alternative way for implementing Grover's algorithm for two and three qubits, which does not require a series of single gates. As well, we demonstrate by a numerical simulation the use of quantum process tomography to fully characterize the performance of a single-shot entangling gate for two and three qubits and obtaining process fidelities greater than 93%. These gates are used to create Bell and Greenberger-Horne-Zeilinger (GHZ) entangled states. © 2024, CC0.

关键词： Timing circuits

来源：评论

学校读者我要写书评

暂无评论

quantum information processing algorithms with Emphasis on Machine Learning 12

Quantum Information Processing Algorithms with Emphasis on M...

引用

12th International Conference on information, Intelligence, Systems and Applications, IISA 2021

作者： Uehara, Glen S. Spanias, Andreas Clark, William Arizona State University SenSIP Center School of Ecee TempeAZ85287 United States General Dynamics Mission Systems 8220 East Roosevelt Street ScottsdaleAZ85257 United States

ISBN: (纸本)9781665400329

quantum Computing (QC) promises to elevate computing speed by an estimated 100 million times. Several applications, including signal processing, machine learning, big data, communication, and cryptography, will benefit from quantum computing. This paper provides a brief survey of quantum information processing algorithms with an emphasis on machine learning. We begin first, covering with an introduction to quantum systems. Then we describe briefly the fundamental blocks and principles of quantum mechanics, and we present several related QC concepts such as qubits, correlation, and entanglement. We also present simulations and tools for the quantum implementation of select algorithms. We cover specifically quantum Machine Learning (QML) and demonstrate simple implementations. The paper also describes current research and provides an extensive bibliography for further reading. © 2021 IEEE.

关键词： Signal processing

来源：评论

学校读者我要写书评

暂无评论

quantum Fuzzy Federated Learning for Privacy Protection in Intelligent information processing

引用

IEEE TRANSACTIONS ON FUZZY SYSTEMS 2025年第1期33卷 278-289页

作者： Qu, Zhiguo Zhang, Lailei Tiwari, Prayag Nanjing Univ Informat Sci & Technol Jiangsu Collaborat Innovat Ctr Atmospher Environm Equipment Technol Nanjing 210044 Peoples R China Nanjing Univ Informat Sci & Technol Engn Res Ctr Digital Forens Minist Educ Nanjing 210044 Peoples R China Nanjing Univ Informat Sci & Technol Sch Comp Sci Nanjing 210044 Peoples R China Halmstad Univ Sch Informat Technol S-30118 Halmstad Sweden

With the advent of the intelligent information processing era, more and more private sensitive data are being collected and analyzed for intelligent decision making tasks. Such information processing also brings many challenges with existing privacy protection algorithms. On the one hand, the algorithms based on data encryption compromise the integrity of the original data or incur high computational and communication costs to some extent. On the other hand, algorithms based on distributed learning require frequent sharing of parameters between different computing nodes, which poses risks of leaking local model information and reducing global learning efficiency. To mitigate the impact of these issues, a quantum fuzzy federated learning (QFFL) algorithm is proposed. In the QFFL algorithm, a quantum fuzzy neural network is designed at the local computing nodes, which enhances data generalization while preserving data integrity. In global model, QFFL makes predictions through the quantum federated inference (QFI). QFI leads to a general framework for quantum federated learning on non-independent and identically distributed (IID) data with one-shot communication complexity, achieving privacy protection of local data and accelerating the global learning efficiency of the algorithm. The experiments are conducted on the COVID-19 and MNIST datasets, and the results indicate that QFFL demonstrates superior performance compared to the baselines, manifesting in faster training efficiency, higher accuracy, and enhanced security. In addition, based on the fidelity experiments and related analysis under four common quantum noise channels, the results demonstrated that it has good robustness against quantum noises, proving its applicability and practicality.

关键词： Data privacy Computational modeling Protection Privacy Fuzzy neural networks quantum computing Distance learning Intelligent information processing privacy protection quantum federated inference (QFI) quantum fuzzy federated learning (QFFL) quantum fuzzy neural network (QFNN)

来源：评论

学校读者我要写书评

暂无评论

Beyond Bits: A Review of quantum Embedding Techniques for Efficient information processing

引用

IEEE ACCESS 2024年 12卷 46118-46137页

作者： Khan, Mansoor A. Aman, Muhammad N. Sikdar, Biplab Natl Univ Singapore Dept Elect & Comp Engn Singapore 117575 Singapore Univ Nebraska Lincoln Coll Engn Sch Comp Lincoln NE 68588 USA

The existing body of research on quantum embedding techniques is not only confined in scope but also lacks a comprehensive understanding of the intricacies of the quantum embedding process. To address this critical issue, this article explores quantum encoding schemes, uncovering valuable insights into their encoding algorithms from theoretical foundations to a mathematical perspective, as well as practical applications. Initially, the article briefly overviews classical computing and the limitations associated with classical bits in representing and processing complex information. Next, the article scrutinizes a variety of quantum embedding patterns, including basis encoding, amplitude encoding, Qsample encoding, angle encoding, quantum associative memory encoding, quantum random access memory, superdense encoding, Hamiltonian encoding, and others. In addition, each technique is accompanied by mathematical formulas and examples illustrating how each strategy can be applied. Finally, the article provides a comparative analysis of different quantum embedding/encoding methods, outlining their strengths and limitations. Overall, this insightful article highlights the potential of quantum encoding techniques for efficient information processing beyond classical bits, thereby facilitating scientists and design engineers in selecting the most appropriate encoding technique to develop smart algorithms for revolutionizing the field of quantum computing.

关键词： Encoding quantum computing information processing quantum circuit Performance analysis Encoding patterns qubits quantum computing quantum information processing quantum circuits

来源：评论

学校读者我要写书评

暂无评论

Quaternion-Based Arithmetic in quantum information processing: A promising approach for efficient color quantum imaging

引用

IEEE SIGNAL processing MAGAZINE 2024年第2期41卷 64-74页

作者： Grigoryan, Artyom M. Agaian, Sos S. Univ Texas San Antonio Dept Elect Engn San Antonio TX 78249 USA CUNY Coll Staten Isl Dept Comp Sci Staten Isl NY USA

Classical color image processing, image recognition, and machine learning introduce nonlinearity, causing the collapse of the quantum state into classical probability perceptrons after measurements, due to the inherent linearity of quantum computing. To address this challenge, quaternion-based arithmetic offers a promising approach. By treating the primary color components as a single unit using quaternion algebra, nonlinear relationships can be implemented, effectively manipulating higher-dimensional color data. This article aims to achieve efficient and accurate color quantum image processing (QIP) by introducing new quaternion quantum-based color imaging tools based on multiplicative arithmetic on two-qubits and quantum superpositions. The approach includes the concept of a quaternion Fourier transform (QFT) in two-qubit-based color image representation. To end, we discuss possible applications of the proposed methods in color quantum imaging.

关键词： quantum computing Image color analysis Algebra Visual communication Quaternions Signal processing algorithms Color

来源：评论

学校读者我要写书评

暂无评论

High-dimensional quantum information processing on programmable integrated photonic chips

引用

Science China(information Sciences) 2023年第8期66卷 5-22页

作者： Yulin CHI Yue YU Qihuang GONG Jianwei WANG State Key Laboratory for Mesoscopic Physics School of Physics Peking University Frontiers Science Center for Nano-optoelectronics and Collaborative Innovation Center of Quantum Matter Peking University Peking University Yangtze Delta Institute of Optoelectronics Collaborative Innovation Center of Extreme Optics Shanxi University Hefei National Laboratory

This study reviews the recent progress of high-dimensional quantum information processing with photons. We first introduce the basic language of high-dimensional quantum information, including the representation of quantum dits(qudits), unitary operations of qudit states, and the general format of quantum algorithms with qudits. We discuss experimental implementations of high-dimensional quantum information processing and quantum computing in photonic systems, particularly in integrated quantum photonic platforms. We also discuss how qudit-based quantum photonic devices and systems can be adopted for further improving qubit-based quantum computation and quantum simulation.

关键词： high-dimensional quantum information processing quantum computation integrated quantum photonics

来源：评论

学校读者我要写书评

暂无评论

NMR quantum information processing: Indian Contributions and Perspectives

引用

JOURNAL OF THE INDIAN INSTITUTE OF SCIENCE 2023年第2期103卷 569-589页

作者： Dorai, Kavita Arvind Indian Inst Sci Educ & Res IISER Mohali Dept Phys Sci Sect 81 SAS Nagar 140306 Punjab India Punjabi Univ Patiala 147002 Punjab India

quantum processors based on NMR architectures, which use nuclear spins as qubits and radio frequency pulses to implement unitary quantum gates, came into existence nearly two decades ago. Since their first proof-of-principle demonstrations as a testbed quantum processors, NMR quantum processors have contributed significantly to advances in various subareas of quantum information processing. Indian researchers have been working in this field since its inception and have continued to contribute to novel developments. This article begins by delineating the basic building blocks of an NMR quantum processor and evaluating the advantages and disadvantages of this quantum technology. Contributions of NMR quantum information processing techniques in the areas of the state initialization and quantum control, experimental implementation of quantum algorithms, entanglement detection and characterization, foundational tests of quantum mechanics, quantum state and process tomography, noise characterization and decoherence mitigation protocols, quantum simulation, and quantum thermodynamics are described. The article traces the historical development of this area, with an emphasis on Indian contributions and perspectives.

关键词： Nuclear magnetic resonance spectroscopy quantum control quantum gates quantum algorithms

来源：评论

学校读者我要写书评

暂无评论

quantum information processing with molecular nanomagnets: an introduction

引用

CONTEMPORARY PHYSICS 2023年第4期64卷 253-281页

作者： Chiesa, Alessandro Macaluso, Emilio Carretta, Stefano Univ Parma Dipartimento Sci Matemat Fis & Informat Parma Italy INSTM UdR Parma Parma Italy INFN Sez Milano Bicocca Grp Collegato Parma Parma Italy

Many problems intractable on classical devices could be solved by algorithms explicitly based on quantum mechanical laws, i.e. exploiting quantum information processing. As a result, increasing efforts from different fields are nowadays directed to the actual realisation of quantum devices. Here we provide an introduction to quantum information processing, focusing on a promising setup for its implementation, represented by molecular spin clusters known as Molecular Nanomagnets. We introduce the basic tools to understand and design quantum algorithms, always referring to their actual realisation on a molecular spin architecture. We then examine the most important sources of noise in this class of systems and one of their most peculiar features, i.e. the possibility to exploit many (more than two) available states to encode information and to self-correct it from errors via proper design of quantum error correction codes. Finally, we present some examples of quantum algorithms proposed and implemented on a molecular spin qudit hardware.

关键词： Molecular nanomagnets qubits qudits quantum information processing quantum computation

来源：评论

学校读者我要写书评

暂无评论

quantum Signal processing: A New Frontier in information processing 10

Quantum Signal Processing: A New Frontier in Information Pro...

引用

10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023

作者： Karthik, A. Asha, V. Nijhawan, Ginni Rana, Ajay Khan, Irfan Naser, Zamen Latef Institute of Aeronautical Engineering Hyderabad Dundigal India New Horizon College of Engineering Department of Computer Applications Bangalore India Lovely Professional University Phagwara India Amity University Greater Noida India Lloyd Institute of Engineering & Technology Greater Noida India National University of Science and Technology College of Engineering Technology Dhi Qar Iraq

ISBN: (纸本)9798350382471

quantum Signal processing (QSP) emerges as a groundbreaking paradigm, exploiting the principles of quantum mechanics to revolutionize the analysis, manipulation, and interpretation of signals. This paper introduces a novel framework for QSP, delineating its theoretical foundations and potential to surpass classical signal processing capabilities. The research delves into the development of quantum algorithms that exhibit superior efficiency in the frequency domain analysis and the processing of temporally entangled signal structures. A pivotal aspect of this work is the introduction of quantum Fourier transforms as a mechanism to achieve exponential speed-ups in signal decomposition. Furthermore, the paper explores the implementation of quantum error correction techniques to enhance the robustness of signal processing in the presence of quantum noise and decoherence. The practicality of QSP is demonstrated through simulated quantum circuits, providing a blueprint for future quantum computing hardware applications. The implications of this research are profound, suggesting a transformative impact on fields ranging from secure communications to biomedical imaging. By harnessing the entanglement and superposition properties inherent to quantum systems, QSP is poised to redefine the limits of what is computationally feasible within information processing. © 2023 IEEE.

关键词： quantum algorithms quantum Computing Hardware quantum Fourier Transform quantum Noise quantum Signal processing

来源：评论

学校读者我要写书评

暂无评论

International Conference on Internet of Everything and quantum information processing, IEQIP 2023

International Conference on Internet of Everything and Quant...

引用

International Conference on Internet of Everything and quantum information processing, IEQIP 2023

ISBN: (纸本)9783031619281

The proceedings contain 31 papers. The special focus in this conference is on Internet of Everything and quantum information processing. The topics include: Revolutionizing Agriculture: A Mobile App for Rapid Plant Disease Prediction and Sustainable Food Security;EMG Based Human Machine Integration for IoT Based Instruments;medrack: Bridging Trust and Technology for Safer Drug Supply Chain Using Ethereum and IoT;a Review on Tuberculosis Pattern Detection Based on Various Machine Learning Techniques;sensor Based Hand Gesture Identification for Human Machine Interface;an Improved Detection System Using Genetic Algorithm and Decision Tree;a Detailed Analysis of Colorectal Polyp Segmentation with U-Network;a Review on Internet of Things (IoT): Parkinson’s Disease Monitoring Device;Machine Learning-Based Prediction of Temperature Rise in Squirrel Cage Induction Motor (SCIM);quantum Many-Body Problems: quantum Machine Learning Applications;Experimental Study on the Impact of Airborne Dust Deposition on PV Modules Using Internet of Things;bidirectional Converter with Time Utilization-Based Tariff Investigation and IoT Monitoring of Charging Parameters Based on G2V and V2G Operations;predictive Analysis of Telecom Customer Churn Using Machine Learning Techniques;baker’s Map Based Chaotic Image Encryption in Military Surveillance Systems;Cyber Security Investigation of GPS-Spoofing Attack in Military UAV Networks;ioT Based Enhanced Safety Monitoring System for Underground Coal Mines Using LoRa Technology;ioT Based Hydroponic System for Sustainable Organic Farming;predicting Stride Length from Acceleration Signals Using Lightweight Machine Learning algorithms;unveiling Hate: Multimodal Perspectives and Knowledge Graphs;vision-Based Toddler Activity Recognition: Challenges and Applications;automated W-Sitting Posture Detection in Toddlers.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：