Quantum Mach. Intell.最新文献

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Peptide binding classification on quantum computers 量子计算机上的多肽结合分类
Quantum Mach. Intell. Pub Date : 2024-06-10 DOI: 10.1007/s42484-024-00154-3
Charles London, Douglas Brown, Wenduan Xu, Sezen Vatansever, Christopher J. Langmead, Dimitri Kartsaklis, Stephen Clark, Konstantinos Meichanetzidis
{"title":"Peptide binding classification on quantum computers","authors":"Charles London, Douglas Brown, Wenduan Xu, Sezen Vatansever, Christopher J. Langmead, Dimitri Kartsaklis, Stephen Clark, Konstantinos Meichanetzidis","doi":"10.1007/s42484-024-00154-3","DOIUrl":"https://doi.org/10.1007/s42484-024-00154-3","url":null,"abstract":"","PeriodicalId":305806,"journal":{"name":"Quantum Mach. Intell.","volume":" 12","pages":"35"},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141365867","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}
引用次数: 0
Quantum deep learning-based anomaly detection for enhanced network security 基于量子深度学习的异常检测增强网络安全
Quantum Mach. Intell. Pub Date : 2024-05-02 DOI: 10.1007/s42484-024-00163-2
Moe Hdaib, Sutharshan Rajasegarar, Lei Pan
{"title":"Quantum deep learning-based anomaly detection for enhanced network security","authors":"Moe Hdaib, Sutharshan Rajasegarar, Lei Pan","doi":"10.1007/s42484-024-00163-2","DOIUrl":"https://doi.org/10.1007/s42484-024-00163-2","url":null,"abstract":"","PeriodicalId":305806,"journal":{"name":"Quantum Mach. Intell.","volume":"13 3","pages":"26"},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021676","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}
引用次数: 0
Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model 基于混合经典量子回归模型的光纤温度传感器行为预测
Quantum Mach. Intell. Pub Date : 2024-04-04 DOI: 10.1007/s42484-024-00150-7
T. Kanimozhi, S. Sridevi, M. Valliammai, J. Mohanraj, N. Vinodhkumar, Amirthalingam Sathasivam
{"title":"Behavior prediction of fiber optic temperature sensor based on hybrid classical quantum regression model","authors":"T. Kanimozhi, S. Sridevi, M. Valliammai, J. Mohanraj, N. Vinodhkumar, Amirthalingam Sathasivam","doi":"10.1007/s42484-024-00150-7","DOIUrl":"https://doi.org/10.1007/s42484-024-00150-7","url":null,"abstract":"","PeriodicalId":305806,"journal":{"name":"Quantum Mach. Intell.","volume":"14 6","pages":"20"},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140744540","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}
引用次数: 0
A quantum procedure for estimating information gain in Boolean classification task 估算布尔分类任务信息增益的量子程序
Quantum Mach. Intell. Pub Date : 2024-03-05 DOI: 10.1007/s42484-024-00151-6
Michal Koren, Or Peretz
{"title":"A quantum procedure for estimating information gain in Boolean classification task","authors":"Michal Koren, Or Peretz","doi":"10.1007/s42484-024-00151-6","DOIUrl":"https://doi.org/10.1007/s42484-024-00151-6","url":null,"abstract":"","PeriodicalId":305806,"journal":{"name":"Quantum Mach. Intell.","volume":"57 12","pages":"16"},"PeriodicalIF":0.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140264729","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}
引用次数: 0
Grover's search with learning oracle for constrained binary optimization problems 针对受限二元优化问题的格罗弗搜索与学习oracle
Quantum Mach. Intell. Pub Date : 2024-02-24 DOI: 10.1007/s42484-024-00148-1
Hiroshi Ohno
{"title":"Grover's search with learning oracle for constrained binary optimization problems","authors":"Hiroshi Ohno","doi":"10.1007/s42484-024-00148-1","DOIUrl":"https://doi.org/10.1007/s42484-024-00148-1","url":null,"abstract":"","PeriodicalId":305806,"journal":{"name":"Quantum Mach. Intell.","volume":"33 6","pages":"12"},"PeriodicalIF":0.0,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140434229","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}
引用次数: 0
Quantum Transfer Learning for Acceptability Judgements 可接受性判断的量子迁移学习
Quantum Mach. Intell. Pub Date : 2024-01-15 DOI: 10.48550/arXiv.2401.07777
G. Buonaiuto, Raffaele Guarasci, Aniello Minutolo, G. Pietro, M. Esposito
{"title":"Quantum Transfer Learning for Acceptability Judgements","authors":"G. Buonaiuto, Raffaele Guarasci, Aniello Minutolo, G. Pietro, M. Esposito","doi":"10.48550/arXiv.2401.07777","DOIUrl":"https://doi.org/10.48550/arXiv.2401.07777","url":null,"abstract":"Hybrid quantum-classical classifiers promise to positively impact critical aspects of natural language processing tasks, particularly classification-related ones. Among the possibilities currently investigated, quantum transfer learning, i.e., using a quantum circuit for fine-tuning pre-trained classical models for a specific task, is attracting significant attention as a potential platform for proving quantum advantage. This work shows potential advantages, both in terms of performance and expressiveness, of quantum transfer learning algorithms trained on embedding vectors extracted from a large language model to perform classification on a classical Linguistics task: acceptability judgments. Acceptability judgment is the ability to determine whether a sentence is considered natural and well-formed by a native speaker. The approach has been tested on sentences extracted from ItaCoLa, a corpus that collects Italian sentences labeled with their acceptability judgment. The evaluation phase shows results for the quantum transfer learning pipeline comparable to state-of-the-art classical transfer learning algorithms, proving current quantum computers' capabilities to tackle NLP tasks for ready-to-use applications. Furthermore, a qualitative linguistic analysis, aided by explainable AI methods, reveals the capabilities of quantum transfer learning algorithms to correctly classify complex and more structured sentences, compared to their classical counterpart. This finding sets the ground for a quantifiable quantum advantage in NLP in the near future.","PeriodicalId":305806,"journal":{"name":"Quantum Mach. Intell.","volume":"12 4","pages":"13"},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140507610","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}
引用次数: 0
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