: In the detection process of classic radars such as radar/lidar, the detection performance will be weakened due to the presence of background noise and loss. The quantum illumination protocol can use the spatial correlation between photon pairs to improve image quality and enhance radar detection performance, even in the presence of loss and noise. Based on this quantum illumination LIDAR, a theoretic scheme is developed for the detection and tracking of moving targets, and the trajectory of the object is analyzed. Illuminated by the quantum light source as Spontaneous Parametric Down-Conversion (SPDC), an opaque target can be identified from the background in the presence of strong noise. The static objects obtained by classical and quantum illumination are compared, respectively, and the advantages of quantum illumination are verified. The moving objects are taken at appropriate intervals to obtain the images of the moving objects, then the images are visualized as dynamic images, and the three-frame difference method is used to obtain the target contour. Finally, the image is performed by a series of processing on to obtain the trajectory of the target object. Several different motion situations are analyzed separately, and compared with the set object motion trajectory, which proves the effectiveness of the scheme. This scheme has potential practical application value.
{"title":"Dynamic Target Detection and Tracking Based on Quantum Illumination LIDAR","authors":"Qinghai Li, Ziyi Zhao, Hao Wu, Xiaoyu Li, Qinsheng Zhu, Shan Yang","doi":"10.32604/JQC.2021.016634","DOIUrl":"https://doi.org/10.32604/JQC.2021.016634","url":null,"abstract":": In the detection process of classic radars such as radar/lidar, the detection performance will be weakened due to the presence of background noise and loss. The quantum illumination protocol can use the spatial correlation between photon pairs to improve image quality and enhance radar detection performance, even in the presence of loss and noise. Based on this quantum illumination LIDAR, a theoretic scheme is developed for the detection and tracking of moving targets, and the trajectory of the object is analyzed. Illuminated by the quantum light source as Spontaneous Parametric Down-Conversion (SPDC), an opaque target can be identified from the background in the presence of strong noise. The static objects obtained by classical and quantum illumination are compared, respectively, and the advantages of quantum illumination are verified. The moving objects are taken at appropriate intervals to obtain the images of the moving objects, then the images are visualized as dynamic images, and the three-frame difference method is used to obtain the target contour. Finally, the image is performed by a series of processing on to obtain the trajectory of the target object. Several different motion situations are analyzed separately, and compared with the set object motion trajectory, which proves the effectiveness of the scheme. This scheme has potential practical application value.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125596868","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}
Wenbin Yu, Yinsong Xu, Wenjie Liu, A. Liu, B. Zheng
: Multi-user detection is one of the important technical problems for modern communications. In the field of quantum communication, the multi-access channel on which we apply the technology of quantum information processing is still an open question. In this work, we investigate the multi-user detection problem based on the binary coherent-state signals whose communication way is supposed to be seen as a quantum channel. A binary phase shift keying model of this multi-access channel is studied and a novel method of quantum detection proposed according to the conclusion of the quantum measurement theory. As a result, the average interference between deferent users is presented and the average error probability of the quantum detection is derived theoretically. Finally, we show the maximum channel capacity of this effective detection for a two-access quantum channel.
{"title":"Quantum Multi-User Detection Based on Coherent State Signals","authors":"Wenbin Yu, Yinsong Xu, Wenjie Liu, A. Liu, B. Zheng","doi":"10.32604/jqc.2019.07324","DOIUrl":"https://doi.org/10.32604/jqc.2019.07324","url":null,"abstract":": Multi-user detection is one of the important technical problems for modern communications. In the field of quantum communication, the multi-access channel on which we apply the technology of quantum information processing is still an open question. In this work, we investigate the multi-user detection problem based on the binary coherent-state signals whose communication way is supposed to be seen as a quantum channel. A binary phase shift keying model of this multi-access channel is studied and a novel method of quantum detection proposed according to the conclusion of the quantum measurement theory. As a result, the average interference between deferent users is presented and the average error probability of the quantum detection is derived theoretically. Finally, we show the maximum channel capacity of this effective detection for a two-access quantum channel.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133022701","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}
Image conversion refers to converting an image from one style to another and ensuring that the content of the image remains unchanged. Using Generative Adversarial Networks (GAN) for image conversion can achieve good results. However, if there are enough samples, any image in the target domain can be mapped to the same set of inputs. On this basis, the Cycle Consistency Generative Adversarial Network (CycleGAN) was developed. This article verifies and discusses the advantages and disadvantages of the CycleGAN model in image style conversion. CycleGAN uses two generator networks and two discriminator networks. The purpose is to learn the mapping relationship and inverse mapping relationship between the source domain and the target domain. It can reduce the mapping and improve the quality of the generated image. Through the idea of loop, the loss of information in image style conversion is reduced. When evaluating the results of the experiment, the degree of retention of the input image content will be judged. Through the experimental results, CycleGAN can understand the artist’s overall artistic style and successfully convert real landscape paintings. The advantage is that most of the content of the original picture can be retained, and only the texture line of the picture is changed to a level similar to the artist’s style.
{"title":"Implementation of Art Pictures Style Conversion with GAN","authors":"Xinlong Wu, Desheng Zheng, Kexin Zhang, Yanling Lai, Zhifeng Liu, Zhihong Zhang","doi":"10.32604/jqc.2021.017251","DOIUrl":"https://doi.org/10.32604/jqc.2021.017251","url":null,"abstract":"Image conversion refers to converting an image from one style to another and ensuring that the content of the image remains unchanged. Using Generative Adversarial Networks (GAN) for image conversion can achieve good results. However, if there are enough samples, any image in the target domain can be mapped to the same set of inputs. On this basis, the Cycle Consistency Generative Adversarial Network (CycleGAN) was developed. This article verifies and discusses the advantages and disadvantages of the CycleGAN model in image style conversion. CycleGAN uses two generator networks and two discriminator networks. The purpose is to learn the mapping relationship and inverse mapping relationship between the source domain and the target domain. It can reduce the mapping and improve the quality of the generated image. Through the idea of loop, the loss of information in image style conversion is reduced. When evaluating the results of the experiment, the degree of retention of the input image content will be judged. Through the experimental results, CycleGAN can understand the artist’s overall artistic style and successfully convert real landscape paintings. The advantage is that most of the content of the original picture can be retained, and only the texture line of the picture is changed to a level similar to the artist’s style.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133033794","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}
Shijun Zhao, Xiaoying Chen, Xiaolei Wang, Wenming Ji, Z. Dai
The condensation process of dew droplets is influenced by many factors. A dew point condensation image observation system was built to improve the response speed of dew point detector under different measuring conditions. The basic mechanism of dew drop condensation growth was studied and the influence of various factors on the dew drop growth rate were analyzed. And the accuracy of the influence results was verified based on the improved Hough transform circle detection. The results show that the growth rate of dew droplets is affected by ambient temperature, dew point temperature, mirror temperature and air velocity. The observed variation of the average radius of dew droplets is consistent with the theoretical calculations. The maximum radius error is less than 4 μm, the initial error is larger, and the error oscillates in the middle and late stages of condensation. The establishment of condensation mechanism is helpful to solve the problem in fast determination of dew point temperature under the cold start of dew point meter, and to improve the response speed.
{"title":"Analysis and Test on Influence Factors of Dew Drop Condensation in Dew Point Hygrometer","authors":"Shijun Zhao, Xiaoying Chen, Xiaolei Wang, Wenming Ji, Z. Dai","doi":"10.32604/JQC.2019.06112","DOIUrl":"https://doi.org/10.32604/JQC.2019.06112","url":null,"abstract":"The condensation process of dew droplets is influenced by many factors. A dew point condensation image observation system was built to improve the response speed of dew point detector under different measuring conditions. The basic mechanism of dew drop condensation growth was studied and the influence of various factors on the dew drop growth rate were analyzed. And the accuracy of the influence results was verified based on the improved Hough transform circle detection. The results show that the growth rate of dew droplets is affected by ambient temperature, dew point temperature, mirror temperature and air velocity. The observed variation of the average radius of dew droplets is consistent with the theoretical calculations. The maximum radius error is less than 4 μm, the initial error is larger, and the error oscillates in the middle and late stages of condensation. The establishment of condensation mechanism is helpful to solve the problem in fast determination of dew point temperature under the cold start of dew point meter, and to improve the response speed.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116092776","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 : 1900-01-01DOI: 10.32604/JQC.2021.016324
Peng Wei, Mingdao Lu, Xuehan Zhang, Yilei Teng
: Aviation service plays an indispensable role in the process of social and economic development. In this process, the problem of flight punctuality becomes more and more serious. Flight delay will bring a variety of implicit and explicit losses to individual passengers and airlines, so it is necessary to analyze the influencing factors of flight punctuality rate. Complex network can be used to study various objects with complex relations, obtain the relations of these objects and calculate the influence of different indicators on the objects. This article mainly has carried on the three aspects: Firstly, get the flight data from the Internet, and use the knowledge of the complex network to obtain the data to build into a directed network. Secondly, to analyze the building of directed network, computing network centricity index, study the influence of different centricity index for flight punctuality. Thirdly, get the statistics of airport indicators including network indicators and calculate the correlation of different indicators and punctuality. Through the above three points, the degree of influence of different influencing factors on flight on-time rate is studied, which is the positive influence or the negative influence. The study of these factors will provide some references for the practical application of the improvement of flight punctuality.
{"title":"Analysis of Flight Punctuality Rate Based on Complex Network","authors":"Peng Wei, Mingdao Lu, Xuehan Zhang, Yilei Teng","doi":"10.32604/JQC.2021.016324","DOIUrl":"https://doi.org/10.32604/JQC.2021.016324","url":null,"abstract":": Aviation service plays an indispensable role in the process of social and economic development. In this process, the problem of flight punctuality becomes more and more serious. Flight delay will bring a variety of implicit and explicit losses to individual passengers and airlines, so it is necessary to analyze the influencing factors of flight punctuality rate. Complex network can be used to study various objects with complex relations, obtain the relations of these objects and calculate the influence of different indicators on the objects. This article mainly has carried on the three aspects: Firstly, get the flight data from the Internet, and use the knowledge of the complex network to obtain the data to build into a directed network. Secondly, to analyze the building of directed network, computing network centricity index, study the influence of different centricity index for flight punctuality. Thirdly, get the statistics of airport indicators including network indicators and calculate the correlation of different indicators and punctuality. Through the above three points, the degree of influence of different influencing factors on flight on-time rate is studied, which is the positive influence or the negative influence. The study of these factors will provide some references for the practical application of the improvement of flight punctuality.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132832584","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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