Devising "structured initial guesses" for random parametrized quantum circuits to avoid getting stuck in a flat plateau
How did the authors manage to simulate and get the error estimate for a neural network with greater than 7840 qubits?
What are some of the interesting problems whose solutions have been proposed using quantum neural networks?
Why is Farhi and Neven's architecture described in "Classification with Quantum Neural Network on near term processors" called a Neural Network?
Is there a quantum neural network "hello world" for character recognition (convolutional neural networks)?
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