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A Comprehensive CNN Model for Age-Related Macular Degeneration Classification Using OCT: Integrating Inception Modules, SE Blocks, and ConvMixer.
Diagnostics (Basel)
December 2024
School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast BT9 5BN, UK.
: Age-related macular degeneration (AMD) is a significant cause of vision loss in older adults, often progressing without early noticeable symptoms. Deep learning (DL) models, particularly convolutional neural networks (CNNs), demonstrate potential in accurately diagnosing and classifying AMD using medical imaging technologies like optical coherence to-mography (OCT) scans. This study introduces a novel CNN-based DL method for AMD diagnosis, aiming to enhance computational efficiency and classification accuracy.
View Article and Find Full Text PDFQuantum-Limited Generalized Measurement for Tunnel-Coupled Condensates.
Phys Rev Lett
December 2024
Vienna Center for Quantum Science and Technology, Atominstitut, TU Wien, 1020 Vienna, Austria.
Article Synopsis
- Efficient readout of information is crucial for quantum simulation, yet standard measurements typically focus on just one observable at a time.
- This research introduces an atomic beam splitter for controlled outcoupling, allowing simultaneous measurement of both number imbalance and relative phase in two coupled 1D Bose gases, acting as a simulator for sine-Gordon field theory.
- The method demonstrates quantum limitations through number squeezing, tracks Josephson oscillation dynamics, and permits atom extraction while preserving coherent dynamics, paving the way for studying quantum properties and multitime correlation functions in larger systems.
Neural networks with quantum states of light.
Philos Trans A Math Phys Eng Sci
December 2024
Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) UIB-CSIC, Campus Universitat Illes Balears, Palma de Mallorca 07122, Spain.
Quantum optical networks are instrumental in addressing the fundamental questions and enable applications ranging from communication to computation and, more recently, machine learning (ML). In particular, photonic artificial neural networks (ANNs) offer the opportunity to exploit the advantages of both classical and quantum optics. Photonic neuro-inspired computation and ML have been successfully demonstrated in classical settings, while quantum optical networks have triggered breakthrough applications such as teleportation, quantum key distribution and quantum computing.
View Article and Find Full Text PDFPSA-HWT: handwritten font generation based on pyramid squeeze attention.
PeerJ Comput Sci
August 2024
School of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu, China.
The generator, which combines convolutional neural network (CNN) and Transformer as its core modules, serves as the primary model for the handwriting font generation network and demonstrates effective performance. However, there are still problems with insufficient feature extraction in the overall structure of the font, the thickness of strokes, and the curvature of strokes, resulting in subpar detail in the generated fonts. To solve the problems, we propose a method for constructing a handwritten font generation model based on Pyramid Squeeze Attention, called PSA-HWT.
View Article and Find Full Text PDFQuantum State Transfer between Superconducting Cavities via Exchange-Free Interactions.
Phys Rev Lett
November 2024
Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China.
We propose and experimentally demonstrate a novel protocol for transferring quantum states between superconducting cavities. This approach utilizes continuous two-mode squeezing interactions to generate entanglement without the exchange of any carrier photons. In contrast to the discrete operations of entanglement and Bell-state measurement in quantum teleportation, our scheme is symmetric and continuous.
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