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Modeling and benchmarking quantum optical neurons for efficient neural computation. [PDF]
Andrisani A +5 more
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Quantum ensembling methods for healthcare and life science. [PDF]
Rhrissorrakrai K +7 more
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Rapid earthquake damage assessment via hybrid LSTM-RNN with a quantum-inspired classification head based on Autonomous Perceptron Model APM. [PDF]
Alotaibi A, Alharbi S, Elshewey AM.
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AI-quantum framework for accurate infertility risk classification in PCOS patients using EHR data. [PDF]
Sarath T, Brindha K.
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Machine learning in cancer imaging for enhanced precision in diagnosis and therapy. [PDF]
Chow JCL.
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Quantum kernel methods for marketing analytics with convergence theory and separation bounds. [PDF]
Sáez Ortuño L +2 more
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On Classification of Quantum Channels
Open Systems & Information Dynamics, 2001Quantum mutual entropy and quantum capacity are rigorously defined by Ohya, and they are quite useful in the study of quantum communication processes [4, 7, 8, 9,10]. Mathematical models of optical communication processes are described by a quantum channel and optical states, and quantum capacity is one of the most important criteria to measure the ...
Satoshi Iriyama, Noboru Watanabe
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Deep Quantum Networks for Classification
2010 20th International Conference on Pattern Recognition, 2010This paper introduces a new type of deep learning method named Deep Quantum Network (DQN) for classification. DQN inherits the capability of modeling the structure of a feature space by fuzzy sets. At first, we propose the architecture of DQN, which consists of quantum neuron and sigmoid neuron and can guide the embedding of samples divisible in new ...
Shusen Zhou +2 more
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