At the intersection of machine learning and quantum computing, Quantum
M...
The dual tasks of quantum Hamiltonian learning and quantum Gibbs samplin...
Quantum Machine Learning (QML) models are aimed at learning from data en...
Quantum machine learning (QML) offers a powerful, flexible paradigm for
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We introduce TensorFlow Quantum (TFQ), an open source library for the ra...
We introduce a new class of generative quantum-neural-network-based mode...
We introduce Quantum Graph Neural Networks (QGNN), a new class of quantu...
Quantum Neural Networks (QNNs) are a promising variational learning para...