Pub Date : 2022-08-01DOI: 10.1109/CCPQT56151.2022.00066
Long Zhao, Jia Xie, Zhenshan Liu, Hui Liu, Fenglong Sun
Nitrogen-vacancy (NV) center is a kind of point defect, which consist of a nitrogen atom and a vacancy distributed in diamond. Under the irradiation of 532nm laser, the NV center can emit fluorescence with 640nm∼800nm wavelength, while the intensity of fluorescence could be influenced by microwave and magnetic field. This feature can be used to realize high-precision magnetic field measurement. The NV center current sensor has the characteristics of ultrahigh precision and long-term stability, which leads to a great application potential such as current transformers. In the test, it was found that the NV center current sensor will have a non-linear effect under high current, resulting in a limitation in current sensing application. This paper simulates the non-linear response of NV current sensor, and proposes some improvement ways based on the simulation results.
{"title":"The Research on Non-linearity and Sensitivity of Current Sensor Based on Diamond Magnetometer","authors":"Long Zhao, Jia Xie, Zhenshan Liu, Hui Liu, Fenglong Sun","doi":"10.1109/CCPQT56151.2022.00066","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00066","url":null,"abstract":"Nitrogen-vacancy (NV) center is a kind of point defect, which consist of a nitrogen atom and a vacancy distributed in diamond. Under the irradiation of 532nm laser, the NV center can emit fluorescence with 640nm∼800nm wavelength, while the intensity of fluorescence could be influenced by microwave and magnetic field. This feature can be used to realize high-precision magnetic field measurement. The NV center current sensor has the characteristics of ultrahigh precision and long-term stability, which leads to a great application potential such as current transformers. In the test, it was found that the NV center current sensor will have a non-linear effect under high current, resulting in a limitation in current sensing application. This paper simulates the non-linear response of NV current sensor, and proposes some improvement ways based on the simulation results.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122023330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.1109/CCPQT56151.2022.00068
Chang Liu, Md Al Alif, Gang He
The shoulder joint has the most excellent range of motion in human body, which has the large range of motion ability but has poor stability. To help adjust for this instability, the rotator cuff muscles, ligaments, tendons, and the glenoid labrum should be relied on. In order to precisely evaluate the health status or mobility of the shoulder, a shoulder motion detection algorithm based on the MPU6050 motion sensor and XGBoost model is proposed in this paper. As a result, the proposed algorithm can obtain good results with accuracy of 94% and accuracy of 93%.
{"title":"Shoulder Motion Detection Algorithm Based on MPU6050 Sensor and XGBoost Model","authors":"Chang Liu, Md Al Alif, Gang He","doi":"10.1109/CCPQT56151.2022.00068","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00068","url":null,"abstract":"The shoulder joint has the most excellent range of motion in human body, which has the large range of motion ability but has poor stability. To help adjust for this instability, the rotator cuff muscles, ligaments, tendons, and the glenoid labrum should be relied on. In order to precisely evaluate the health status or mobility of the shoulder, a shoulder motion detection algorithm based on the MPU6050 motion sensor and XGBoost model is proposed in this paper. As a result, the proposed algorithm can obtain good results with accuracy of 94% and accuracy of 93%.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124741403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.1109/CCPQT56151.2022.00051
Samuel Rene Adolphe Sebakara, Guolin Sun, Guisong Liu
To meet the requirements of assorted applications from different service providers operating on a shared infrastructure, the current generation of mobile cellular networks (5G) rely on network slicing. However, the synchronization of RAN and core network slicing has not been investigated as an interdependent resource allocation problem. This paper proposes a novel End to End (E2E) resource slicing and allocation scheme. The Slice to Node Access Factor (SNAF) based E2E Slice resource provisioning scheme is proposed based on diverse users' Quality of Service (QoS) requirements for transmission delay and data rate. The SNAF, in principle, ensures proper resource provisioning and traffic synchronization, and thus allocates radio resources based on the provisioned affordable traffic and backhaul resources, and vice versa. Based on the 5G air interface, we ran a system-level simulation to assess the performance of our solution from multiple angles. Simulation findings show that our proposed SNAF-based interdependent E2E resource allocation delivers improved E2E traffic-resource synchronization and enhances QoS satisfaction with minimum resource utilization when compared to benchmarked state-of-the-art methods.
为了满足在共享基础设施上运行的来自不同服务提供商的各种应用的需求，当前一代移动蜂窝网络(5G)依赖于网络切片。然而，RAN和核心网切片的同步并没有作为一个相互依赖的资源分配问题进行研究。提出了一种新的端到端(E2E)资源切片和分配方案。针对不同用户对传输时延和数据速率的QoS要求，提出了基于SNAF (Slice to Node Access Factor)的端到端分片资源分配方案。SNAF原则上保证了适当的资源分配和业务同步，从而根据所提供的可负担的业务和回程资源分配无线电资源，反之亦然。基于5G空中接口，我们进行了系统级仿真，从多个角度评估了我们的解决方案的性能。仿真结果表明，与最先进的基准方法相比，我们提出的基于snaf的相互依赖的端到端资源分配提供了改进的端到端流量资源同步，并以最小的资源利用率提高了QoS满意度。
{"title":"SNAF-based Interdependent E2E Network Resource Slicing Scheme for a Virtualized Network","authors":"Samuel Rene Adolphe Sebakara, Guolin Sun, Guisong Liu","doi":"10.1109/CCPQT56151.2022.00051","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00051","url":null,"abstract":"To meet the requirements of assorted applications from different service providers operating on a shared infrastructure, the current generation of mobile cellular networks (5G) rely on network slicing. However, the synchronization of RAN and core network slicing has not been investigated as an interdependent resource allocation problem. This paper proposes a novel End to End (E2E) resource slicing and allocation scheme. The Slice to Node Access Factor (SNAF) based E2E Slice resource provisioning scheme is proposed based on diverse users' Quality of Service (QoS) requirements for transmission delay and data rate. The SNAF, in principle, ensures proper resource provisioning and traffic synchronization, and thus allocates radio resources based on the provisioned affordable traffic and backhaul resources, and vice versa. Based on the 5G air interface, we ran a system-level simulation to assess the performance of our solution from multiple angles. Simulation findings show that our proposed SNAF-based interdependent E2E resource allocation delivers improved E2E traffic-resource synchronization and enhances QoS satisfaction with minimum resource utilization when compared to benchmarked state-of-the-art methods.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"548 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127050525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.1109/CCPQT56151.2022.00017
Weixing Liu, Panyu Chen
With the rapid development of the Internet of Things, the wider application of NB-IoT technology has been accelerated, which will further bring greater convenience to our society and life. As a part of the Internet of Things technology, NB-IoT provides guarantee for the access of the Internet of Things, and will continue to provide strong network support for the development of the Internet of Things in the future. As it is officially included in the 5G candidate technology set, NB-IoT technology will continue and more rapidly develop with communication technology. NB-IoT integrates four characteristics of low power consumption, low cost, wide coverage and large connection, which provides diversity for the way of smart life. application scenarios.
{"title":"Research on Key Technologies and Application Scenarios of NB-IoT","authors":"Weixing Liu, Panyu Chen","doi":"10.1109/CCPQT56151.2022.00017","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00017","url":null,"abstract":"With the rapid development of the Internet of Things, the wider application of NB-IoT technology has been accelerated, which will further bring greater convenience to our society and life. As a part of the Internet of Things technology, NB-IoT provides guarantee for the access of the Internet of Things, and will continue to provide strong network support for the development of the Internet of Things in the future. As it is officially included in the 5G candidate technology set, NB-IoT technology will continue and more rapidly develop with communication technology. NB-IoT integrates four characteristics of low power consumption, low cost, wide coverage and large connection, which provides diversity for the way of smart life. application scenarios.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121446556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.1109/CCPQT56151.2022.00078
Wei-Min shi, Jia-Wei Liang, Xue Zhang, Yihua Zhou
To achieve multi-class image reranking, a novel image reranking algorithm using multiple discrete-time quantum walk is proposed. In this algorithm, a weighted undirected complete graph is first constructed, in which the nodes for the graph represent the images and the weighted values of these edges are the similarity value between the images. Secondly, it uses the spectral clustering to divide the images into $k$ classes and finds the representative image of each class. Thirdly, it uses the $k$ representative images as the initial state of quantum system, and the flip-flop shift operator and the weighted coin operator are used to control multiple discrete-time quantum walk on the weighted complete graph. Finally, the average probability values of the walker reaching the node of the graph is used as the relevance scores of the image, and then the images are reranked by the relevance scores. the experimental results show that our scheme has a significant enhance compared with the initial ranking algorithm from the comparison of visual and relevance scores. Furthermore, the effectiveness of our algorithm is evaluated by the average precision (AP) and the mean average precision (MAP), where the AP of our algorithm is increased by 53.21%, 31.75% and 14.29% for three types of the query image in randomly selected image group respectively, and the MAP of our algorithm is increased by 29.57% for all image groups compared with the initial ranking algorithm.
{"title":"A Multi-class image reranking algorithm based on multiple discrete-time quantum walk","authors":"Wei-Min shi, Jia-Wei Liang, Xue Zhang, Yihua Zhou","doi":"10.1109/CCPQT56151.2022.00078","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00078","url":null,"abstract":"To achieve multi-class image reranking, a novel image reranking algorithm using multiple discrete-time quantum walk is proposed. In this algorithm, a weighted undirected complete graph is first constructed, in which the nodes for the graph represent the images and the weighted values of these edges are the similarity value between the images. Secondly, it uses the spectral clustering to divide the images into $k$ classes and finds the representative image of each class. Thirdly, it uses the $k$ representative images as the initial state of quantum system, and the flip-flop shift operator and the weighted coin operator are used to control multiple discrete-time quantum walk on the weighted complete graph. Finally, the average probability values of the walker reaching the node of the graph is used as the relevance scores of the image, and then the images are reranked by the relevance scores. the experimental results show that our scheme has a significant enhance compared with the initial ranking algorithm from the comparison of visual and relevance scores. Furthermore, the effectiveness of our algorithm is evaluated by the average precision (AP) and the mean average precision (MAP), where the AP of our algorithm is increased by 53.21%, 31.75% and 14.29% for three types of the query image in randomly selected image group respectively, and the MAP of our algorithm is increased by 29.57% for all image groups compared with the initial ranking algorithm.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114807100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cache-enabled device-to-device (D2D) communication is a promising approach to minimize data traffic and reduce communication costs and extra resource consumption. However, mobile user equipments (MUEs) have resource scarcity problems for storage, computation capacity, and battery lifetime. Due to these limited resources among untrusted MUEs, it becomes challenging to keep large content caches, maintain service quality, and provide secure transaction exchanges in D2D communication. Thus, Blockchain-enabled D2D content caching (BDCC) has recently become a new approach for caching popular content locally and sharing it with other MUEs securely and efficiently in a decentralized manner. Nevertheless, the existing BDCC system lacks an optimal incentive mechanism that motivates content providers (CPs) and content requestors (CRs) to maximize profit and utility. Hence, to address these problems, we introduce an efficient pricing-based incentive scheme that uses a two-stage Stackelberg game to allow the CPs and CRs to adjust the optimal strategy while maximizing their profit continually. Finally, the simulation results show that the proposed incentive scheme outperforms the baseline schemes in terms of the utility of CPs and CRs and the cache hit and miss ratio of the BDCC system.
{"title":"An Optimal Incentive Mechanism for Blockchain-enabled Content Caching in Device-to-Device Communication","authors":"Yasin Habtamu Yacob, Ruijie Ou, Guolin Sun, Wei Jiang","doi":"10.1109/CCPQT56151.2022.00048","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00048","url":null,"abstract":"Cache-enabled device-to-device (D2D) communication is a promising approach to minimize data traffic and reduce communication costs and extra resource consumption. However, mobile user equipments (MUEs) have resource scarcity problems for storage, computation capacity, and battery lifetime. Due to these limited resources among untrusted MUEs, it becomes challenging to keep large content caches, maintain service quality, and provide secure transaction exchanges in D2D communication. Thus, Blockchain-enabled D2D content caching (BDCC) has recently become a new approach for caching popular content locally and sharing it with other MUEs securely and efficiently in a decentralized manner. Nevertheless, the existing BDCC system lacks an optimal incentive mechanism that motivates content providers (CPs) and content requestors (CRs) to maximize profit and utility. Hence, to address these problems, we introduce an efficient pricing-based incentive scheme that uses a two-stage Stackelberg game to allow the CPs and CRs to adjust the optimal strategy while maximizing their profit continually. Finally, the simulation results show that the proposed incentive scheme outperforms the baseline schemes in terms of the utility of CPs and CRs and the cache hit and miss ratio of the BDCC system.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123710580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the advancement of science and technology, people have higher requirements for the quality of products produced. Defect detection on the surface of products can improve the overall quality of products. In this day and a time of growing industrial automation, the traditional artificial defect detection in accuracy, speed and so on already cannot meet the requirement of the industrial production, in order to improve the productivity, enhance the level of industrial manufacturer defect detection, it is necessary to find a more effective detection method, namely the surface defect detection based on machine learning techniques. Due to the development of machine learning and deep learning in recent years, the technology has been able to applied to the workpiece surface defect detection, in several kinds of defect detection technology based on the deep learning, through the way of experiment, it is concluded that Domen proposed dual phase depth convolution neural network can be in the same conditions to get higher precision rate and recall rate of accuracy, This paper focuses on the structure and function of the Convolutional neural network.
{"title":"Research on the Technology of Workpiece Surface Detection Based on Convolutional Neural Network","authors":"Chen Jia, Qing Chang, LingYi Bao, QiuRan Sun, Pengbo Xiong","doi":"10.1109/CCPQT56151.2022.00065","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00065","url":null,"abstract":"With the advancement of science and technology, people have higher requirements for the quality of products produced. Defect detection on the surface of products can improve the overall quality of products. In this day and a time of growing industrial automation, the traditional artificial defect detection in accuracy, speed and so on already cannot meet the requirement of the industrial production, in order to improve the productivity, enhance the level of industrial manufacturer defect detection, it is necessary to find a more effective detection method, namely the surface defect detection based on machine learning techniques. Due to the development of machine learning and deep learning in recent years, the technology has been able to applied to the workpiece surface defect detection, in several kinds of defect detection technology based on the deep learning, through the way of experiment, it is concluded that Domen proposed dual phase depth convolution neural network can be in the same conditions to get higher precision rate and recall rate of accuracy, This paper focuses on the structure and function of the Convolutional neural network.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122116125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.1109/CCPQT56151.2022.00036
Qingbiao Zhang, Chang Liu, Gang He
Aiming at the disadvantages of traditional Wiener filtering, a new adaptive noise ratio wiener filtering method is proposed in this paper. The method can identify the noise type according to its histogram distribution type, calculate the mean and variance of noise, and construct the corresponding point spread function.At the same time, the image denoising algorithm based on the improved Wiener filter is realized by estimating the adaptive SNR of the image. Especially for the medical images with different background and foreground, the denoising algorithm proposed in this paper has remarkable effect. The experimental results show that the adaptive SNR wiener filter can achieve better results than the traditional wiener filter by combining the main visual effect and objective PSNR value (the larger the PSNR is the better). The algorithm in this paper can directly find the optimal signal-to-noise ratio of wiener filters, which solves the problem that traditional Wiener filters need to estimate the signal-to-noise ratio continuously.
{"title":"An Improved Wiener Filter Based on Adaptive SNR MRI Image Denoising Algorithm","authors":"Qingbiao Zhang, Chang Liu, Gang He","doi":"10.1109/CCPQT56151.2022.00036","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00036","url":null,"abstract":"Aiming at the disadvantages of traditional Wiener filtering, a new adaptive noise ratio wiener filtering method is proposed in this paper. The method can identify the noise type according to its histogram distribution type, calculate the mean and variance of noise, and construct the corresponding point spread function.At the same time, the image denoising algorithm based on the improved Wiener filter is realized by estimating the adaptive SNR of the image. Especially for the medical images with different background and foreground, the denoising algorithm proposed in this paper has remarkable effect. The experimental results show that the adaptive SNR wiener filter can achieve better results than the traditional wiener filter by combining the main visual effect and objective PSNR value (the larger the PSNR is the better). The algorithm in this paper can directly find the optimal signal-to-noise ratio of wiener filters, which solves the problem that traditional Wiener filters need to estimate the signal-to-noise ratio continuously.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128684835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.1109/CCPQT56151.2022.00042
Jun Dong, Tian Xia
To further improve the accuracy of underground positioning, a method of underground Ultra-Wide Band positioning based on clustering and TDOA is proposed. First, the TDOA method is used to measure, Chan algorithm is selected to solve, then the iterative solution is brought into the Taylor algorithm to establish the data collection in the iteration process, and remove the large error iteration values. Then, the data collection is aggregated through the K-means algorithm. Class iteration, filtering data processing and final accurate location coordinates.The non convergence problem caused by inaccurate initial value selection of Taylor algorithm can be well solved. Through simulation experiments, the performance of this algorithm is compared with Chan algorithm and Chan Taylor algorithm. The test results of this algorithm have higher accuracy and better stability, although positioning takes longer, the overall performance is obtained. Upgrading can cope with complex underground environment and achieve accurate positioning.
{"title":"Research on Ultra-wideband Location of Mine Based on Clustering and TDOA","authors":"Jun Dong, Tian Xia","doi":"10.1109/CCPQT56151.2022.00042","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00042","url":null,"abstract":"To further improve the accuracy of underground positioning, a method of underground Ultra-Wide Band positioning based on clustering and TDOA is proposed. First, the TDOA method is used to measure, Chan algorithm is selected to solve, then the iterative solution is brought into the Taylor algorithm to establish the data collection in the iteration process, and remove the large error iteration values. Then, the data collection is aggregated through the K-means algorithm. Class iteration, filtering data processing and final accurate location coordinates.The non convergence problem caused by inaccurate initial value selection of Taylor algorithm can be well solved. Through simulation experiments, the performance of this algorithm is compared with Chan algorithm and Chan Taylor algorithm. The test results of this algorithm have higher accuracy and better stability, although positioning takes longer, the overall performance is obtained. Upgrading can cope with complex underground environment and achieve accurate positioning.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121827557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.1109/CCPQT56151.2022.00076
Chao Zhang, Z. Guan, Yang Qian, Shiguang Feng
In order to solve the problem of mapping a quantum circuit to IBM QX architecture and satisfy connectivity constraints. This paper presents a mapping method, which is divided into two parts: Qubit initial mapping and Nearest-neighbor optimization. To solve the problem of initial mapping of qubits, according to the execution order and interaction of quantum gates in quantum circuit, a qubit mapping order method based on the weight of qubits is proposed. Then, according to the qubit interaction degree in the coupling graph, the initial qubit mapping is completed. In order to solve the nearest-neighbor problem in the mapping process, the quantum cost of non-neighbor two-qubit gate is determined by introducing the lookahead quantum cost method. Our algorithm is evaluated on IBM Q 20. Experimental results show that the proposed algorithm can effectively complete the mapping task even in large-scale benchmark tests. The proposed method is verified by experiments and compared with the existing methods, the optimized results were obtained in 74% of the test circuits.
{"title":"A Method of Mapping and Nearest-Neighbor for IBM QX Architecture","authors":"Chao Zhang, Z. Guan, Yang Qian, Shiguang Feng","doi":"10.1109/CCPQT56151.2022.00076","DOIUrl":"https://doi.org/10.1109/CCPQT56151.2022.00076","url":null,"abstract":"In order to solve the problem of mapping a quantum circuit to IBM QX architecture and satisfy connectivity constraints. This paper presents a mapping method, which is divided into two parts: Qubit initial mapping and Nearest-neighbor optimization. To solve the problem of initial mapping of qubits, according to the execution order and interaction of quantum gates in quantum circuit, a qubit mapping order method based on the weight of qubits is proposed. Then, according to the qubit interaction degree in the coupling graph, the initial qubit mapping is completed. In order to solve the nearest-neighbor problem in the mapping process, the quantum cost of non-neighbor two-qubit gate is determined by introducing the lookahead quantum cost method. Our algorithm is evaluated on IBM Q 20. Experimental results show that the proposed algorithm can effectively complete the mapping task even in large-scale benchmark tests. The proposed method is verified by experiments and compared with the existing methods, the optimized results were obtained in 74% of the test circuits.","PeriodicalId":235893,"journal":{"name":"2022 International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126087942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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