{"title":"封面：基于改进CNN-BiLSTM模型的通用双量子位系统的增强量子纠缠检测（ad . Quantum technology . 1/2025）","authors":"Qian Sun, Zhichuan Liao, Nan Jiang","doi":"10.1002/qute.202570001","DOIUrl":null,"url":null,"abstract":"<p>As a fusion improvement algorithm for convolution neural networks and recurrent neural networks, CNN-BiLSTM demonstrates its powerful fitting ability and generalization ability for complex data. In article number 2400373, Nan Jiang and co-workers combine this algorithm with quantum entanglement classification problems, achieving perfect performance for nearly all 2-qubits quantum systems.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"8 1","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/qute.202570001","citationCount":"0","resultStr":"{\"title\":\"Front Cover: Enhanced Quantum Entanglement Detection of General Two Qubits Systems Based on Modified CNN-BiLSTM Model (Adv. Quantum Technol. 1/2025)\",\"authors\":\"Qian Sun, Zhichuan Liao, Nan Jiang\",\"doi\":\"10.1002/qute.202570001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>As a fusion improvement algorithm for convolution neural networks and recurrent neural networks, CNN-BiLSTM demonstrates its powerful fitting ability and generalization ability for complex data. In article number 2400373, Nan Jiang and co-workers combine this algorithm with quantum entanglement classification problems, achieving perfect performance for nearly all 2-qubits quantum systems.\\n\\n <figure>\\n <div><picture>\\n <source></source></picture><p></p>\\n </div>\\n </figure></p>\",\"PeriodicalId\":72073,\"journal\":{\"name\":\"Advanced quantum technologies\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/qute.202570001\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced quantum technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/qute.202570001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced quantum technologies","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/qute.202570001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPTICS","Score":null,"Total":0}
Front Cover: Enhanced Quantum Entanglement Detection of General Two Qubits Systems Based on Modified CNN-BiLSTM Model (Adv. Quantum Technol. 1/2025)
As a fusion improvement algorithm for convolution neural networks and recurrent neural networks, CNN-BiLSTM demonstrates its powerful fitting ability and generalization ability for complex data. In article number 2400373, Nan Jiang and co-workers combine this algorithm with quantum entanglement classification problems, achieving perfect performance for nearly all 2-qubits quantum systems.
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