Suchergebnisse - "Quantum convolutional autoencoder"

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  1. 1

    Optimal satellite selection using quantum convolutional autoencoder for low-cost GNSS receiver applications von Arasavali, Nalineekumari, Kumar, Mogadala Vinod, Gottapu, Sasibhushana Rao, Kumar, Om Prakash, Kakade, Priyanka Desai, Vincent, Shweta, Mane, Pallavi R., Kumar, Sachin

    ISSN: 2045-2322, 2045-2322
    Veröffentlicht: London Nature Publishing Group UK 13.03.2025
    Veröffentlicht in Scientific reports (13.03.2025)
    “… This work proposes the quantum convolutional autoencoder-based optimal satellite selection method …”
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    Journal Article
  2. 2

    QCAE-QOC-SVM: A hybrid quantum machine learning model for DoS and Fuzzy attack detection on autonomous vehicle CAN bus von R, Meghana, Ramesha, Sowmyashree Sakrepatna, Mukhopadhyay, Adwitiya

    ISSN: 2215-0161, 2215-0161
    Veröffentlicht: Netherlands Elsevier B.V 01.12.2025
    Veröffentlicht in MethodsX (01.12.2025)
    “… Our approach is a combination of a Quantum Convolutional Autoencoder (QCAE) and a Quantum Orthogonal Classifier based on Support Vector Machines (QOC-SVM …”
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    Journal Article
  3. 3

    Enhancing a convolutional autoencoder with a quantum approximate optimization algorithm for image noise reduction von Kit, Tara, Pov, Kimsay, Kea, Kimleang, Chang, Won-Du, Chul Park, Hee, Han, Youngsun

    ISSN: 2632-2153, 2632-2153
    Veröffentlicht: Bristol IOP Publishing 30.12.2025
    Veröffentlicht in Machine learning: science and technology (30.12.2025)
    “… Owing to their promising efficiency, quantum computers have gained popularity. This paper proposes a method, the quantum convolutional autoencoder (QCAE …”
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    Journal Article
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  5. 5

    Enhancing a Convolutional Autoencoder with a Quantum Approximate Optimization Algorithm for Image Noise Reduction von Kea, Kimleang, Won-Du, Chang, Park, Hee Chul, Han, Youngsun

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 12.01.2024
    Veröffentlicht in arXiv.org (12.01.2024)
    “… Owing to their promising efficiency, quantum computers have gained popularity. This study introduces a quantum convolutional autoencoder (QCAE …”
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    Paper