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Found 3 papers, 1 papers with code
Graph Neural Networks on Quantum Computers
This paper proposes frameworks for implementing GNNs on quantum computers to potentially address the challenges.
Quantum Optimization for Training Quantum Neural Networks
Training quantum neural networks (QNNs) using gradient-based or gradient-free classical optimisation approaches is severely impacted by the presence of barren plateaus in the cost landscapes.
Quantum advantage in training binary neural networks
On a classical computer, the number of training cycles is strongly correlated with the amount of parameters in the neural network, making an optimization of the parameters computationally expensive.
Quantum Physics
