检索结果-内蒙古大学图书馆

PHYSICS-USPEKHI 2024年第7期67卷 668-693页

作者： Alodjants, A. P. Tsarev, D., V Kuts, D. A. Podoshvedov, S. A. Kulik, S. P. ITMO Univ Kronverksky Prosp 49A St Petersburg 197101 Russia South Ural State Univ Prosp Lenina 76 Chelyabinsk 454080 Russia Lomonosov Moscow State Univ Quantum Technol Ctr Leninskie Gory 1Str 35 Moscow 119991 Russia

We review recent progress in the field of optical quantum metrology, with a focus on the analysis of the current level of theoretical and experimental research on the generation, transformation, and measurement of nonclassical states of light, such as NOON, squeezed, and hybrid states, which com- bine transformations of both discrete and continuous variables of a quantized light field. We show how such states can be used to improve the measurement accuracy and to estimate unknown phase parameters in both linear and nonlinear metrology. Sig- nificant attention is paid to the description of actual quantum metrology schemes that take the loss of particles, the limited fidelity of photon detectors, and other factors into account. We therefore identify both the ultimate (fundamental) bounds im- posed by quantum mechanical uncertainties of the quantities being measured and the bounds due to the effect of classical noise on the propagation and measurements of a quanti Of special importance are quantum metrology options spontaneous parametric light scattering, which, for m 50 years, has been an indispensable tool for key acc ments in quantum optics and related areas of photoni tum cryptography, quantum computing, and quantum In this regard, we analyze the current status of the u well-known Hong-Ou-Mandel photon anticorrelati and biphoton interference in various quantum metro proaches in measuring temperature, length, material co tion, and so on. We also discuss the use of biph photometry, radiometry, and sensing for the absolute tion of modern photon-count detectors, as well as for ments of the brightness temperature of hot radiation The quantum metrology phenomena, methods, aproaches discussed here in light of the most recent progress on sources and detectors of quantum radiation will be an important tool in developing and practically implementing new schemes and algorithms for quantum processing and information transmission.

关键词： quantum measurement quantum interferometry spon- taneous parametric light scattering quantum sensing photometry radiometry nonclassical states of light biphotons quantum information and computing

来源：评论

学校读者我要写书评

暂无评论

A Block quantum Genetic Interference Mitigation Algorithm for Dynamic Metasurface Antennas and Field Trials

引用

IEEE WIRELESS COMMUNICATIONS LETTERS 2024年第12期13卷 3678-3682页

作者： Yang, Taorui Yin, Haifan Song, Rongguang Zhang, Lianjie Huazhong Univ Sci & Technol Sch Elect Informat & Commun Wuhan 430074 Peoples R China

This letter proposes a quantum algorithm for Dynamic Metasurface Antennas (DMA) beamforming to suppress interference for an amplify-and-forward relay system in multi-base station environments. This algorithm introduces an efficient dynamic block initialization and overarching block update strategy, which can enhance the Signal-to-Interference-plus-Noise Ratio (SINR) of the target base station (BS) signal without any channel information. Furthermore, we built a relay system with DMA as the receiving antenna and conducted outdoor 5G BS interference suppression tests. To the best of our knowledge, this is the first paper to experiment DMA in commercial 5G networks. The field trial results indicate an SINR improvement of over 10 dB for the signal of the desired BS.

关键词： Interference Signal to noise ratio Heuristic algorithms Genetic algorithms Convergence Antennas Relays Array signal processing Metasurfaces Hamming distances Dynamic metasurface antennas interference suppression self-adaptive beamforming field trials

来源：评论

学校读者我要写书评

暂无评论

quantum and classical machine learning investigation of synthesis-structure relationships in epitaxially grown wide band gap semiconductors

引用

MRS COMMUNICATIONS 2024年第4期14卷 660-666页

作者： Messecar, A. S. Durbin, S. M. Makin, R. A. Western Michigan Univ Coll Engn & Appl Sci Kalamazoo MI 49008 USA Univ Hawaii Manoa Coll Engn Honolulu HI 96822 USA

Several hundred plasma-assisted molecular beam epitaxy synthesis experiments of GaN and ZnO thin film crystals were organized into data sets that correlate the operating parameters selected for growth to two figures of merit: a binary determination of surface morphology, and a continuous Bragg-Williams measure of lattice ordering (S2). quantum as well as conventional supervised machine learning algorithms were optimized and trained on the data, enabling a comparison of their generalization performance. The models displaying the best generalization performance on each data set were subsequently used to predict each figure of merit across the ZnO and GaN processing spaces.

关键词： Machine learning quantum information Artificial intelligence Molecular beam epitaxy (MBE) Thin film

来源：评论

学校读者我要写书评

暂无评论

quantum Geometric Transformation Based on QIRHSI quantum Color images

引用

IEEE ACCESS 2023年 11卷 21883-21899页

作者： Song, Xianhua Chen, Guanglong Abd El-Latif, Ahmed A. Wani, Mudasir Ahmad Abd-El-Atty, Bassem Harbin Univ Sci & Technol Sch Sci Harbin 150080 Peoples R China Lanzhou Univ Sch Math & Stat Lanzhou 730000 Peoples R China Prince Sultan Univ Coll Comp & Informat Sci EIAS Data Sci Lab Riyadh 11586 Saudi Arabia Menoufia Univ Fac Sci Dept Math & Comp Sci Shibin Al Kawm 6131567 Egypt Luxor Univ Fac Comp & Informat Dept Comp Sci Luxor 85957 Egypt

The negative effects caused by geometric distortion can be removed to the maximum extent possible through appropriate geometric transformations, allowing us to focus on the image content itself in subsequent processing and recognition. Therefore, geometric transformations are often used as a pre-processing step for other image processing applications. In this paper, quantum algorithms are designed to implement geometric transformations, including two-point swapping, circular translation, flipping transformations and right-angle rotation, across a quantum image representation QIRHSI (quantum Image Representation based on HSI color space) which is built on HSI (Hue-Saturation-Intensity) color space. The above geometric transformations are realized by quantum circuits composed of elementary quantum gates. By analyzing the complexity of the fundamental quantum gates needed for the above geometric transformations, it is found that the global transformations (circular translation, flip transformation and right-angle rotation) are lower than the local transformation (two-point swapping). The proposed geometric transforms are used to facilitate the applications of quantum images with low complexity and high efficiency.

关键词： quantum computing Image color analysis Image representation Qubit quantum entanglement Logic gates Probabilistic logic quantum computation quantum image representation quantum geometric transformation quantum circuit complexity

来源：评论

学校读者我要写书评

暂无评论

Online Parameter Estimation for Continuously Monitored quantum Systems

引用

IEEE CONTROL SYSTEMS LETTERS 2024年 8卷 1247-1252页

作者： Clausen, Henrik Glavind Rouchon, Pierre Wisniewski, Rafal Aalborg Univ Dept Elect Syst Sect Automat & Control DK-9220 Aalborg Denmark Univ PSL Lab Phys Ecole Normale Super Mines Paris PSLInriaENS PSLCNRS F-75272 Paris France

In this letter, we consider the problem of online (real-time, single-shot) estimation of static or slow-varying parameters along quantum trajectories in quantum dynamical systems. Based on the measurement signal of a continuously monitored quantum system, we propose a recursive algorithm for computing the maximum likelihood (ML) estimate of unknown parameters using an approach based on stochastic gradient ascent on the log-likelihood function. We formulate the algorithm in both discrete-time and continuous-time and illustrate the performance of the algorithm through simulations of a simple two-level system undergoing homodyne measurement from which we are able to track multiple parameters simultaneously.

关键词： Maximum likelihood estimation Mathematical models Sensitivity quantum system quantum computing Time measurement Signal processing algorithms quantum information and control estimation stochastic systems

来源：评论

学校读者我要写书评

暂无评论

quantum circuit implementation for F28 multiplication based on algebraic curve method

引用

quantum information processing 2025年第5期24卷 1-28页

作者： Liao, Haoyu Luo, Qingbin Zheng, Yuanmeng Lv, Yi Ding, Lang Hubei Minzu Univ Sch Math & Stat Enshi 445000 Hubei Peoples R China Hubei Minzu Univ Coll Intelligent Syst Sci & Engn Enshi 445000 Hubei Peoples R China

Binary field multiplication is widely used in quantum information processing, such as quantum algorithms, cryptanalysis and mathematical arithmetic. The core quantum resources of binary field multiplication are the qubit count and Toffoli depth of its quantum circuit, both of which are largely dependent on the Toffoli gate count. In this paper, we analyze the multiplicative complexity of binary field and present quantum circuits for F28 multiplication from the perspective of time and space. We find that the Toffoli gate count of quantum circuit corresponds to the bilinear complexity in F2n multiplication. The Toffoli gate count obtained by the algebraic curve method increases linearly with n, which is slower than the sub-quadratic complexity of Karatsuba algorithm and the iterated logarithm complexity of Chinese remainder theorem (CRT). To demonstrate the advantages of the algebraic curve method, we use elliptic curve bilinear algorithm in F(22)4 and composite field arithmetic (CFA) to present two types quantum circuits for F28 multiplication, both of which have 24 Toffoli gates and are the lowest at present. The Toffoli depth of the time-efficient quantum circuit is only 1, and the product D.W of the depth and width of the circuit is 72, which is lower than before. The space-efficient quantum circuits require 24 qubits and maintain the Toffoli depth of 4, their D.W and Toffoli depth are reduced by at least 77.8% compared with the most advanced research.

关键词： quantum circuit Binary field multiplication Algebraic curve Bilinear algorithm Multiplicative complexity Composite field arithmetic

来源：评论

学校读者我要写书评

暂无评论

Scheduling algorithm for fidelity of quantum gate circuits 3

Scheduling algorithm for fidelity of quantum gate circuits

引用

3rd International Conference on Electronic information Engineering and Data processing, EIEDP 2024

作者： Liu, Xudong Xu, Jinchen Lian, Hang Information Engineering University Zhengzhou450001 China

ISBN: (纸本)9781510680531

As quantum computing technology matures, the availability and performance of quantum devices are steadily improving. However, in the NISQ (Noisy Intermediate-Scale quantum) era, the quantum bit error rate caused by quantum noise remains a significant constraint on computational accuracy and reliability. In quantum operating systems, quantum task scheduling is a core technology crucial for fully leveraging the performance potential of quantum processors. Currently, most multi-processor scheduling algorithms focus on task load balancing and do not directly consider the characteristics of quantum circuits and the differentiated error rates of quantum computing backends. In quantum computing, the impact of noise errors in single-qubit gates, two-qubit gates, and measurement gates on the fidelity of quantum gate circuits is crucial. Therefore, intelligently matching quantum tasks with the characteristics of backend processors to optimize computational accuracy is an urgent problem to be addressed. This paper proposes a new quantum task scheduling algorithm, which matches tasks with backends based on the weight of single-qubit gates, two-qubit gates, and measurement gates in quantum circuits, as well as the error rate characteristics of each quantum computing backend. Experimental results show that the proposed scheduling algorithm for improving the fidelity of quantum gate circuits outperforms static load balancing scheduling algorithms, resulting in a 4.39% increase in the fidelity of quantum tasks. © 2024 SPIE.

关键词： Scheduling algorithms

来源：评论

学校读者我要写书评

暂无评论

quantum image edge detection based on eight-direction Sobel operator for NEQR

引用

quantum information processing 2022年第5期21卷 1-27页

作者： Liu, Wenjie Wang, Lu Nanjing Univ Informat Sci & Technol Sch Comp Sci Nanjing 210044 Jiangsu Peoples R China Nanjing Univ Informat Sci & Technol Sch Automat Nanjing 210044 Jiangsu Peoples R China

quantum Sobel edge detection (QSED) is a kind of algorithm for image edge detection using quantum mechanism, which can solve the real-time problem encountered by classical algorithms. However, the existing QSED algorithms only consider two- or four-direction Sobel operator, which leads to a certain loss of edge detail information in some high-definition images. In this paper, a novel QSED algorithm based on eight-direction Sobel operator is proposed, which not only reduces the loss of edge information, but also simultaneously calculates eight directions' gradient values of all pixel in a quantum image. In addition, the concrete quantum circuits, which consist of gradient calculation, non-maximum suppression, double threshold detection and edge tracking units, are designed in details. For a 2(n) x 2(n) image with q gray scale, the complexity of our algorithm can be reduced to O(n(2) + q(2)), which is lower than other existing classical or quantum algorithms. And the simulation experiment demonstrates that our algorithm can detect more edge information, especially diagonal edges, than the two- and four-direction QSED algorithms.

关键词： quantum image processing Edge detection Eight-direction Sobel operator Non-maximum suppression Double threshold Edge tracking

来源：评论

学校读者我要写书评

暂无评论

quantum-Inspired Data processing for Big Data Analytics 4

Quantum-Inspired Data Processing for Big Data Analytics

引用

4th International Conference on Advancement in Electronics and Communication Engineering, AECE 2024

作者： Thota, Sunil Raj Arora, Saransh Gupta, Sandeep Engineering Andhra University Technology AP Visakhapatnam India Jaypee Institute of Information Technology U.P. Noida India Techieshubhdeep It Solutions Pvt. Ltd M.P. Gwalior India

ISBN: (纸本)9798350364729

Technological advancements in the 21st century have led to the rise of "big data,"characterized by datasets so vast and complex that traditional database systems struggle to manage them. This term denotes datasets that are too vast and complex to be processed by traditional database systems. As big data continues to evolve, it introduces significant challenges related to data processing, storage, and analysis. In response, quantum-inspired algorithms have emerged as a promising solution to these challenges. quantum-inspired algorithms, which draw on principles from quantum computing, present a promising solution to the challenges of big data processing, storage, and analysis. Techniques such as quantum Annealing, quantum Circuits and Gates, and quantum Parallelism leverage quantum principles like superposition and entanglement to enhance data processing efficiency and speed. These methods offer significant improvements over traditional tools like Hadoop, MapReduce, RapidMiner, and R Programming, which are used for distributed storage, processing, and analytics of large datasets. By integrating quantum-inspired algorithms with existing data processing techniques, this study aims to address the limitations of classical methods and advance the field of big data analytics. © 2024 IEEE.

关键词： quantum entanglement

来源：评论

学校读者我要写书评

暂无评论

A user-centric quantum benchmarking test suite and evaluation framework

引用

quantum information processing 2023年第11期22卷 1-24页

作者： Liu, Wenbo Wang, Fei Lin, Han Shang, Jiandong Zhengzhou Univ Natl Supercomp Ctr Zhengzhou Zhengzhou 450001 Peoples R China Zhengzhou Univ Sch Comp & Artificial Intelligence Zhengzhou 450001 Peoples R China Zhengzhou Univ Sch Mech & Safety Engn Zhengzhou 450001 Peoples R China

This article proposes a benchmark testing set and evaluation system for quantum computers. Our tests do not focus on the topology of quantum computers or the specific implementation details of preparing quantum bits. Instead, we examine the overall performance of quantum computers from the perspective of users. Inspired by traditional computer benchmark tests such as SPECCPU2017, we integrate existing scalable quantum applications and algorithms to generate a testing set that covers algorithms such as search, machine learning, factorization, portfolio optimization, and entanglement state preparation, effectively simulating real workloads. By running the testing set, we can understand the performance of current quantum computers and generate a comprehensive score by combining our evaluation system, which consists of sub-scores of various backend features, including quantum gate error rate, entanglement between quantum bits, cross talk, and connectivity. These sub-scores are calculated based on the program features of the testing cases combined with their running results, where the program features are analyzed through the logical circuits of the testing cases. We incorporate Hellinger fidelity and polarization rescaling into each benchmark to calculate the fidelity of the running results. Through our evaluation system, researchers can be guided toward research directions and understand how far quantum computers are from solving practical problems.

关键词： quantum computing Benchmarking quantum algorithm library Application level

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：