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Found 3 papers, 1 papers with code
All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks
Variational algorithms require architectures that naturally constrain the optimisation space to run efficiently.
Quantum Enhanced Filter: QFilter
Convolutional Neural Networks (CNN) are used mainly to treat problems with many images characteristic of Deep Learning.
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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