Search Results - "quantum autoencoder"

Quantum autoencoders with enhanced data encoding by Bravo-Prieto, Carlos

“…We present the enhanced feature quantum autoencoder, or EF-QAE, a variational quantum algorithm capable of compressing quantum states of different models with…”
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On compression rate of quantum autoencoders: Control design, numerical and experimental realization by Ma, Hailan, Huang, Chang-Jiang, Chen, Chunlin, Dong, Daoyi, Wang, Yuanlong, Wu, Re-Bing, Xiang, Guo-Yong

“…Quantum autoencoders which aim at compressing quantum information in a low-dimensional latent space lie in the heart of automatic data compression in the field…”
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Quantum deep learning-based anomaly detection for enhanced network security by Hdaib, Moe, Rajasegarar, Sutharshan, Pan, Lei

“…Identifying and mitigating aberrant activities within the network traffic is important to prevent adverse consequences caused by cyber security incidents,…”
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Quantum deep learning-enhanced ethereum blockchain for cloud security: intrusion detection, fraud prevention, and secure data migration by Nagarjun, A. Venkata, Rajkumar, Sujatha

“…Because of the rapid acceleration of cloud computing, data transfer security and intrusion detection in cloud networks have become emerging areas of concern…”
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Clustering and enhanced classification using a hybrid quantum autoencoder by Srikumar, Maiyuren, Hill, Charles D, Hollenberg, Lloyd C L

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Quantum neural network autoencoder and classifier applied to an industrial case study by Mangini, Stefano, Marruzzo, Alessia, Piantanida, Marco, Gerace, Dario, Bajoni, Daniele, Macchiavello, Chiara

“…Quantum computing technologies are in the process of moving from academic research to real industrial applications, with the first hints of quantum advantage…”
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Quantum image compression with autoencoders based on parameterized quantum circuits by Wang, Hengyan, Tan, Jing, Huang, Yixiao, Zheng, Wenqiang

“…The analysis and processing of digital images play a vital role in information processing. However, the pixel-based operations on images often lead to…”
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Applying quantum autoencoders for time series anomaly detection by Frehner, Robin, Stockinger, Kurt

“…Anomaly detection is an important problem with applications in various domains such as fraud detection, pattern recognition, or medical diagnosis. Several…”
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Quantum-Classical Autoencoder Architectures for End-to-End Radio Communication by Tabi, Zsolt I., Bako, Bence, Nagy, Daniel T. R., Vaderna, Peter, Kallus, Zsofia, Haga, Peter, Zimboras, Zoltan

“…End-to-end radio communication needs to be optimized against noisy channel conditions and other distortion effects. This paper presents a novel concept, a set…”
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Unsupervised beyond-standard-model event discovery at the LHC with a novel quantum autoencoder by Duffy, Callum, Hassanshahi, Mohammad, Jastrzebski, Marcin, Malik, Sarah

“…This study explores the potential of unsupervised anomaly detection for identifying physics beyond the standard model that may appear at proton collisions at…”
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Quantum Autoencoder for Enhanced Fraud Detection in Imbalanced Credit Card Dataset by Huot, Chansreynich, Heng, Sovanmonynuth, Kim, Tae-Kyung, Han, Youngsun

“…Credit card fraud detection is crucial for financial security which entails identifying unauthorized transactions that can result in significant financial…”
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Quantum autoencoder implementation of high-dimensional steganographic encoding for arbitrary quantum states by Hao, Chaolong, Ma, Quangong, Chen, Yaqi, Zhang, Hao, Qu, Dan

“…While classical steganography achieves maturity in digital media, hiding arbitrary quantum states ( α | 0 ⟩ + β | 1 ⟩ ) has emerged as an intriguing frontier…”
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Neural-enabled quantum information hiding with error-correcting codes: a novel framework for arbitrary quantum state embedding by Hao, ChaoLong, Ma, QuanGong, Si, NianWen, Liu, BuYu, Qu, Dan

“…Quantum information hiding, as an extension of classical information hiding techniques into the realm of quantum information, currently focuses on embedding…”
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Hybrid Quantum-Classical Autoencoders for End-to-End Radio Communication by Tabi, Zsolt, Bako, Bence, Nagy, Daniel T. R., Vaderna, Peter, Kallus, Zsofia, Haga, Peter, Zimboras, Zoltan

“…Quantum neural networks are emerging as poten-tial candidates to leverage noisy quantum processing units for applications. Here we introduce hybrid…”
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Quantum Patch-Based Autoencoder for Anomaly Segmentation by Madeira, Maria Francisca, Poggiali, Alessandro, Lorenz, Jeanette Miriam

“…Quantum Machine Learning investigates the pos-sibility of quantum computers enhancing Machine Learning algorithms. Anomaly segmentation is a fundamental task…”
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Quantum Machine Learning: A tutorial by Martín-Guerrero, José D., Lamata, Lucas

“…This tutorial provides an overview of Quantum Machine Learning (QML), a relatively novel discipline that brings together concepts from Machine Learning (ML),…”
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A black-box attack method of machine learning algorithms based on quantum autoencoders by Tan, Dong, Yan, Lili, Zhao, Jiayu, Chang, Yan, Zhang, Shibin

“…Currently, researchers have conducted extensive studies on adversarial attacks in the field of machine learning. With the development of quantum computing…”
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Quantum machine learning and quantum biomimetics: A perspective by Lamata, Lucas

“…Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies. It may permit, on the one hand, to carry out more…”
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Quantum autoencoders for communication-efficient cloud computing by Zhu, Yan, Bai, Ge, Wang, Yuexuan, Li, Tongyang, Chiribella, Giulio

“…In the model of quantum cloud computing, the server executes a computation on the quantum data provided by the client. In this scenario, it is important to…”
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Quantum autoencoders for image classification by Asaoka, Hinako, Kudo, Kazue

“…Classical machine learning often struggles with complex, high-dimensional data. Quantum machine learning offers a potential solution, promising more efficient…”
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