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Found 3 papers, 3 papers with code
Hierarchical quantum circuit representations for neural architecture search
The QCNN is a circuit model inspired by the architecture of Convolutional Neural Networks (CNNs).
Quantum classifier with tailored quantum kernel
Kernel methods have a wide spectrum of applications in machine learning.
Quantum Physics
PennyLane: Automatic differentiation of hybrid quantum-classical computations
PennyLane's core feature is the ability to compute gradients of variational quantum circuits in a way that is compatible with classical techniques such as backpropagation.
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