Moderate quantum randomness, and in some cases physical noise, improved MNIST classification accuracy on trapped-ion and IBM hardware compared with the classical limit.
Dotsenko, An introduction to the theory of spin glasses and neural networks, World Scientific lecture notes in physics, Vol
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Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware
Moderate quantum randomness, and in some cases physical noise, improved MNIST classification accuracy on trapped-ion and IBM hardware compared with the classical limit.