Pub Date : 1900-01-01DOI: 10.32604/jqc.2021.016651
Chen Su, Xiaoyu Li, Mengru Li, Qinsheng Zhu, Hao-ming Fu, Shan Yang
: As an ideal material, bulk metallic glass (MG) has a wide range of applications because of its unique properties such as structural, functional and biomedical materials. However, it is difficult to predict the glass-forming ability (GFA) even given the criteria in theory and this problem greatly limits the application of bulk MG in industrial field. In this work, the proposed model uses the random forest classification method which is one of machine learning methods to solve the GFA prediction for binary metallic alloys. Compared with the previous SVM algorithm models of all features combinations, this new model is successfully constructed based on the random forest classification method with a new combination of features and it obtains better prediction results. Simultaneously, it further shows the degree of feature parameters influence on GFA. Finally, a normalized evaluation indicator of binary alloy for machine learning model performance is put forward for the first time. The result shows that the application of machine learning in MGs is valuable.
{"title":"Improved Prediction and Understanding of Glass-Forming Ability Based on Random Forest Algorithm","authors":"Chen Su, Xiaoyu Li, Mengru Li, Qinsheng Zhu, Hao-ming Fu, Shan Yang","doi":"10.32604/jqc.2021.016651","DOIUrl":"https://doi.org/10.32604/jqc.2021.016651","url":null,"abstract":": As an ideal material, bulk metallic glass (MG) has a wide range of applications because of its unique properties such as structural, functional and biomedical materials. However, it is difficult to predict the glass-forming ability (GFA) even given the criteria in theory and this problem greatly limits the application of bulk MG in industrial field. In this work, the proposed model uses the random forest classification method which is one of machine learning methods to solve the GFA prediction for binary metallic alloys. Compared with the previous SVM algorithm models of all features combinations, this new model is successfully constructed based on the random forest classification method with a new combination of features and it obtains better prediction results. Simultaneously, it further shows the degree of feature parameters influence on GFA. Finally, a normalized evaluation indicator of binary alloy for machine learning model performance is put forward for the first time. The result shows that the application of machine learning in MGs is valuable.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"24 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":"121481452","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.2022.039795
Yali Wang
{"title":"Research on Improving Teaching Quality and Optimizing Teaching Scheme Based on Deep Learning in Chinese Literature Scene","authors":"Yali Wang","doi":"10.32604/jqc.2022.039795","DOIUrl":"https://doi.org/10.32604/jqc.2022.039795","url":null,"abstract":"","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"71 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":"127782338","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.2020.014734
D. Khokhlov
An interpretation of the entangled states is considered. Two-photon states of photon A on path a and photon B on path b with polarizations H, V are constructed. Two synchronized photons, 1 and 2, can take the paths a and b, with equal probability 50%. In the bases a, b and H, V, the states of the photons form the product states. In the basis 1, 2, the states of the photons form the entangled state. The states of the photons in the bases 1, 2; a, b; H, V are inseparable. The correlation of the photons due to the entanglement in the basis 1, 2 can be seen in the bases a, b and H, V. The interference term in the approach under consideration and in the standard approach is the same thus providing for the same correlation.
{"title":"Interpretation of the Entangled States","authors":"D. Khokhlov","doi":"10.32604/JQC.2020.014734","DOIUrl":"https://doi.org/10.32604/JQC.2020.014734","url":null,"abstract":"An interpretation of the entangled states is considered. Two-photon states of photon A on path a and photon B on path b with polarizations H, V are constructed. Two synchronized photons, 1 and 2, can take the paths a and b, with equal probability 50%. In the bases a, b and H, V, the states of the photons form the product states. In the basis 1, 2, the states of the photons form the entangled state. The states of the photons in the bases 1, 2; a, b; H, V are inseparable. The correlation of the photons due to the entanglement in the basis 1, 2 can be seen in the bases a, b and H, V. The interference term in the approach under consideration and in the standard approach is the same thus providing for the same correlation.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"22 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":"116661749","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}
Quantum blockchain can be understood as a decentralized, encrypted and distributed database based on quantum computation and quantum information theory. Once the data is recorded in the quantum blockchain, it will not be maliciously tampered with. In recent years, the development of quantum computation and quantum information theory makes more and more researchers focus on the research of quantum blockchain. In this paper, we review the developments in the field of quantum blockchain, and briefly analyze its advantages compared with the classical blockchain. The construction and the framework of the quantum blockchain are introduced. Then we introduce the method of applying quantum technology to a certain part of the general blockchain. In addition, the advantages of quantum blockchain compared with classical blockchain and its development prospects are summarized.
{"title":"Quantum Blockchain: A Decentralized, Encrypted and Distributed Database Based on Quantum Mechanics","authors":"Chun-Tang Li, Yinsong Xu, Jiahao Tang, Wenjie Liu","doi":"10.32604/jqc.2019.06715","DOIUrl":"https://doi.org/10.32604/jqc.2019.06715","url":null,"abstract":"Quantum blockchain can be understood as a decentralized, encrypted and distributed database based on quantum computation and quantum information theory. Once the data is recorded in the quantum blockchain, it will not be maliciously tampered with. In recent years, the development of quantum computation and quantum information theory makes more and more researchers focus on the research of quantum blockchain. In this paper, we review the developments in the field of quantum blockchain, and briefly analyze its advantages compared with the classical blockchain. The construction and the framework of the quantum blockchain are introduced. Then we introduce the method of applying quantum technology to a certain part of the general blockchain. In addition, the advantages of quantum blockchain compared with classical blockchain and its development prospects are summarized.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"14 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":"126677618","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}
: Electricity consumption forecasting is one of the most important tasks for power system workers, and plays an important role in regional power systems. Due to the difference in the trend of power load and the past in the new normal, the influencing factors are more diversified, which makes it more difficult to predict the current electricity consumption. In this paper, the grey system theory and BP neural network are combined to predict the annual electricity consumption in Jiangsu. According to the historical data of annual electricity consumption and the six factors affecting electricity consumption, the gray correlation analysis method is used to screen the important factors, and three factors with large correlation degree are selected as the input parameters of BP neural network. The power forecasting model uses nearly 18 years of data to train and validate the model. The results show that the gray correlation analysis and BP neural network method have higher accuracy in power consumption prediction, and the calculation is more convenient than traditional methods.
{"title":"Analysis and Prediction of Regional Electricity Consumption Based on BP Neural Network","authors":"Ping-ping Xia, Aihua Xu, Tonghui Lian","doi":"10.32604/jqc.2019.09232","DOIUrl":"https://doi.org/10.32604/jqc.2019.09232","url":null,"abstract":": Electricity consumption forecasting is one of the most important tasks for power system workers, and plays an important role in regional power systems. Due to the difference in the trend of power load and the past in the new normal, the influencing factors are more diversified, which makes it more difficult to predict the current electricity consumption. In this paper, the grey system theory and BP neural network are combined to predict the annual electricity consumption in Jiangsu. According to the historical data of annual electricity consumption and the six factors affecting electricity consumption, the gray correlation analysis method is used to screen the important factors, and three factors with large correlation degree are selected as the input parameters of BP neural network. The power forecasting model uses nearly 18 years of data to train and validate the model. The results show that the gray correlation analysis and BP neural network method have higher accuracy in power consumption prediction, and the calculation is more convenient than traditional methods.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"16 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":"122788495","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.2020.015402
Dandan Peng, Le Sun
The purpose of this work aims is to automatically build top-k (the number of suggested results) light weight service based systems (LitSBSs) on the basis of user-given keywords. Compared with our previous work, we use a score (oscore) to evaluate the keyword matching degree and QoS performance of a service so that we could find top-k LitSBSs with both high keyword matching degree and great QoS performance at the same time. In addition, to guarantee the quality of found top-k LitSBSs and improve the time efficiency, we redesign the database-driven algorithm (LitDB). We add the step of referential services selecting into the process of the LitDB, which could prioritize services with high quality (high keyword matching degree and great QoS performance). We design comprehensive experiments to demonstrate the great time performance of LitDB.
{"title":"A Database-Driven Algorithm for Building Top-k Service-Based Systems","authors":"Dandan Peng, Le Sun","doi":"10.32604/JQC.2020.015402","DOIUrl":"https://doi.org/10.32604/JQC.2020.015402","url":null,"abstract":"The purpose of this work aims is to automatically build top-k (the number of suggested results) light weight service based systems (LitSBSs) on the basis of user-given keywords. Compared with our previous work, we use a score (oscore) to evaluate the keyword matching degree and QoS performance of a service so that we could find top-k LitSBSs with both high keyword matching degree and great QoS performance at the same time. In addition, to guarantee the quality of found top-k LitSBSs and improve the time efficiency, we redesign the database-driven algorithm (LitDB). We add the step of referential services selecting into the process of the LitDB, which could prioritize services with high quality (high keyword matching degree and great QoS performance). We design comprehensive experiments to demonstrate the great time performance of LitDB.","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"98 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":"133264913","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
{"title":"Quantum Algorithm for Appointment Scheduling","authors":"Wenbin Yu, Yinsong Xu, Wenjie Liu, A. Liu, B. Zheng","doi":"10.32604/jqc.2019.07412","DOIUrl":"https://doi.org/10.32604/jqc.2019.07412","url":null,"abstract":"","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"9 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":"132365712","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}
{"title":"Research and Analysis of WSN Node Location in Highway Traffic Based on Priority","authors":"Congrong Tang","doi":"10.32604/jqc.2020.09153","DOIUrl":"https://doi.org/10.32604/jqc.2020.09153","url":null,"abstract":"","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"38 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":"123961226","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.2022.036706
Augusto Gonz醠ez Bonorino, M. Ndiaye, C. DeCusatis
{"title":"Near Term Hybrid Quantum Computing Solution to the Matrix Riccati Equations","authors":"Augusto Gonz醠ez Bonorino, M. Ndiaye, C. DeCusatis","doi":"10.32604/jqc.2022.036706","DOIUrl":"https://doi.org/10.32604/jqc.2022.036706","url":null,"abstract":"","PeriodicalId":284655,"journal":{"name":"Journal of Quantum Computing","volume":"os-36 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":"127774947","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.2022.033712
A. Naghipour, Duc Manh Nguyen
{"title":"New Quantum Color Codes Based on Hyperbolic Geometry","authors":"A. Naghipour, Duc Manh Nguyen","doi":"10.32604/jqc.2022.033712","DOIUrl":"https://doi.org/10.32604/jqc.2022.033712","url":null,"abstract":"","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":"130150902","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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