For multi-photon quantum neural networks, approximation error decays polynomially with photon number only until n reaches m-2 when the observable is fixed; with a trainable observable, more photons always help.
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Expressive Power and Limitations of Multi-photon Quantum Neural Networks
For multi-photon quantum neural networks, approximation error decays polynomially with photon number only until n reaches m-2 when the observable is fixed; with a trainable observable, more photons always help.