IET Quantum Communication最新文献_第6页

QROP: Quantum Learning-Based Identification of Retinopathy of Prematurity QROP：基于量子学习的早产儿视网膜病变识别

IF 2.8

IET Quantum Communication Pub Date : 2025-08-29 DOI: 10.1049/qtc2.70008

Debashis De, Mahua Nandy Pal, Dipankar Hazra

{"title":"QROP: Quantum Learning-Based Identification of Retinopathy of Prematurity","authors":"Debashis De, Mahua Nandy Pal, Dipankar Hazra","doi":"10.1049/qtc2.70008","DOIUrl":"10.1049/qtc2.70008","url":null,"abstract":"Retinopathy of prematurity (ROP) is a serious eye disease for premature infants. One of the main reasons for ROP is the use of oxygen for prolonged periods. In ROP, the abnormal blood vessels extend into the vitreous, the gel-like substance, and the retina may become partially detached with the formation of a ridge. Early detection and treatment of ROP are important to prevent blindness. This work aims (i) to classify normal and ROP-affected retinal images using a quantum neural network (QNN) and (ii) to compare the performance of the proposed quantum ROP (QROP) system with the existing ROP identification methods. QROP uses the HVDROPDB dataset fundus images of preterm infants. These images are captured using RetCam and Neo imaging devices. Only 15 parameters and a few samples extracted from the database were used for model training to achieve desirable evaluation metrics of accuracy, precision, sensitivity, F1-score and specificity. The proposed system achieves 97.06% accuracy with the HVDROPDB Neo dataset, 91.18% accuracy with the HVDROPDB RetCam dataset, and 85.29% accuracy when evaluated on the images from variable imaging devices and of different resolutions.","PeriodicalId":100651,"journal":{"name":"IET Quantum Communication","volume":"6 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/qtc2.70008","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144918819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.8

IET Quantum Communication Pub Date : 2025-08-29

引用次数: 0

Quantum Schemes for Distinguishing Quantum Gates 区分量子门的量子方案

IF 2.8

IET Quantum Communication Pub Date : 2025-08-29 DOI: 10.1049/qtc2.70009

Songsong Dai

{"title":"Quantum Schemes for Distinguishing Quantum Gates","authors":"Songsong Dai","doi":"10.1049/qtc2.70009","DOIUrl":"10.1049/qtc2.70009","url":null,"abstract":"Discrimination of quantum gates is fundamental to quantum computation and information. This process involves determining whether an unknown unitary gate <math>\u0000 <semantics>\u0000 <mrow>\u0000 <mrow>\u0000 <mi>A</mi>\u0000 </mrow>\u0000 </mrow>\u0000 <annotation> $A$</annotation>\u0000 </semantics></math> belongs to one of two sets of quantum gates, <math>\u0000 <semantics>\u0000 <mrow>\u0000 <mrow>\u0000 <mi>X</mi>\u0000 </mrow>\u0000 </mrow>\u0000 <annotation> $X$</annotation>\u0000 </semantics></math> or <math>\u0000 <semantics>\u0000 <mrow>\u0000 <mrow>\u0000 <mi>Y</mi>\u0000 </mrow>\u0000 </mrow>\u0000 <annotation> $Y$</annotation>\u0000 </semantics></math>. In this paper, we first introduce a scheme for distinguishing between two specific single-qubit gates. Subsequently, we present a scheme for discriminating between two particular two-qubit gates. Both of these discrimination schemes are exact quantum algorithms.","PeriodicalId":100651,"journal":{"name":"IET Quantum Communication","volume":"6 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/qtc2.70009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144918818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IF 2.8

IET Quantum Communication Pub Date : 2025-08-29

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Post-Quantum Digital Signatures for Enhanced Medical Image Security 增强医学图像安全性的后量子数字签名

IF 2.8

IET Quantum Communication Pub Date : 2025-08-23 DOI: 10.1049/qtc2.70006

Kumar Sekhar Roy, Shweta Singh, Preethi Srivathsa, Ruhul Amin Hazarika, Sk Mahmudul Hassan, K. Susheel Kumar

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IF 2.8

IET Quantum Communication Pub Date : 2025-08-23

引用次数: 0

The Phase Noise Resistant Semi-Quantum Private Comparison Based on Non-Maximally Entangled W States 基于非最大纠缠W态的抗相位噪声半量子私有比较

IF 2.8

IET Quantum Communication Pub Date : 2025-08-21 DOI: 10.1049/qtc2.70007

Yi Yang, Min Jiang, Yuzhen Wei, Wenhao Zhao

{"title":"The Phase Noise Resistant Semi-Quantum Private Comparison Based on Non-Maximally Entangled W States","authors":"Yi Yang, Min Jiang, Yuzhen Wei, Wenhao Zhao","doi":"10.1049/qtc2.70007","DOIUrl":"10.1049/qtc2.70007","url":null,"abstract":"Private comparison is an important research topic in the field of quantum communication security, with wide applications in scenarios such as e-commerce and anonymous voting. Currently, although several semi-quantum private comparison schemes based on Bell states and GHZ states have been proposed, studies utilising nonmaximally entangled W states remain relatively scarce. To address the impact of environmental noise, we employ logical nonmaximally entangled W states as the communication channel to effectively resist the interference caused by phase noise. Based on this approach, this paper proposes a semi-quantum private comparison method resistant to phase noise using nonmaximally entangled W states. Compared with existing protocols, the proposed method not only enhances the resistance to phase noise but also significantly extends the applicability of the communication channel. Extensive security evaluations demonstrate that the proposed scheme exhibits strong robustness against various external and internal attacks from third parties (TP). Furthermore, compared to traditional methods, our scheme achieves notable improvements in communication efficiency and application versatility, thereby enhancing its practicality and robustness in real-world applications.","PeriodicalId":100651,"journal":{"name":"IET Quantum Communication","volume":"6 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/qtc2.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144885329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.8

IET Quantum Communication Pub Date : 2025-08-21

引用次数: 0

Quantum Gradient-Based Methods for Learning Deformable Offsets 基于量子梯度的形变偏移学习方法

IF 2.8

IET Quantum Communication Pub Date : 2025-07-30 DOI: 10.1049/qtc2.70005

Shyam R. Sihare

{"title":"Quantum Gradient-Based Methods for Learning Deformable Offsets","authors":"Shyam R. Sihare","doi":"10.1049/qtc2.70005","DOIUrl":"10.1049/qtc2.70005","url":null,"abstract":"This study presents the challenges of learning deformable offsets in conventional machine learning (ML) systems. It significantly focuses on the representation data derived from the MNIST and FashionMNIST datasets. The primary difficulty with this approach is optimising a trade-off between accuracy and efficiency by exploiting the gradient-based algorithm. It is a significant phase of the image recognition and transformation process. Provide a strategy for incorporating quantum approaches utilising quantum loss functions, entanglement, and quantum feature maps to improve on conventional gradient-based techniques. Employ hybrid ways that combine quantum algorithms, such as quantum natural gradient descent (QNGD) and variational quantum eigensolver (VQE), with classical optimisation techniques. This approach is applied to updating deformable offsets and optimising quantum eigenvalue issues. We use quantum Fisher information matrices (FIM) and train tensor networks efficiently and accurately. Then, we performed extensive tests comparing the quantum method with established conventional baselines through hyperparameters, such as accuracy, precision, recall and F1 score. The implementation results demonstrate significant gains in classification accuracy, which exhibit 97% on the MNIST dataset and 87% on the FashionMNIST dataset. The result of the paper emphasises significant conclusions, including improved model stability, increased generalisability and decreased overfitting, due to implementing quantum optimisation techniques. With quantum principles applied to convolution and feature extraction, such data exhibit substantial potential in processing.","PeriodicalId":100651,"journal":{"name":"IET Quantum Communication","volume":"6 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/qtc2.70005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144740114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.8

IET Quantum Communication Pub Date : 2025-07-30

引用次数: 0