A novel stereoscopic 3D scalable QCNN (sQCNN-3D) is proposed for point cloud data processing in classification applications.
Oct 18, 2022 · A novel 3D scalable QCNN (sQCNN-3D) is proposed for point cloud data processing in classification applications.
Sep 20, 2022 · Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications. #2. Hankyul Baek.
Sep 26, 2022 · Stereoscopic scalable quantum convolutional neural networks ... As the noisy intermediate-scale quantum (NISQ) era has begun, a quantum neural ...
Sep 26, 2022 · We propose a new version of QCNN, named scalable quantum convolutional neural network (sQCNN). In addition, using the fidelity of QC, we propose an sQCNN ...
Missing: Stereoscopic | Show results with:Stereoscopic
First of all, we briefly introduce the differences be- tween CNN and QCNN; and the concept of quanvolution. After that, we present our proposed 3D scalable QCNN ...
Missing: Stereoscopic | Show results with:Stereoscopic
3D Scalable Quantum Convolutional Neural Networks for Point Cloud ...
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A novel 3D scalable QCNN (sQCNN-3D) is proposed for point cloud data processing in classification applications and reverse fidelity training is additionally ...
Missing: Stereoscopic | Show results with:Stereoscopic
Co-authors ; Stereoscopic scalable quantum convolutional neural networks. H Baek, WJ Yun, S Park, J Kim. Neural Networks 165, 860-867, 2023. 14, 2023 ; Projection ...
Moreover, a quantum convolutional neural network (QCNN) is the quantum-version of CNN because it can process high-dimensional vector inputs in contrast to QNN.
Missing: Stereoscopic | Show results with:Stereoscopic
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Moreover, a quantum convolutional neural network (QCNN) is the quantum-version of CNN because it can process high-dimensional vector inputs in contrast to QNN.
Missing: Stereoscopic | Show results with:Stereoscopic