A topic I've been interested in lately is quantum machine learning[0]. Qubits as neurons make sense as a natural architecture to me. Though, as I understand we

A topic I've been interested in lately is quantum machine learning[0]. Qubits as neurons make sense as a natural architecture to me. Though, as I understand we are still somewhat early in terms of the number of available qubits being useful. While reading about the actual advantages of quantum machine learning over classical machine learning something that came up was a type of error correction you can do in quantum computing that would make backpropagation faster. Does anyone who understands this better know if this breakthrough might theoretically apply for that application (in the future, with more qubits of course)? [0] https://en.m.wikipedia.org/wiki/Quantum_machine_learning https://en.m.wikipedia.org/wiki/Quantum_machine_learning