• Members 3 posts
    Oct. 26, 2021, 2:32 a.m.

    VQA is used to find the minimum value of the Hamiltonian to ensure the minimum energy, so it is a parameterized quantum circuit training for the Hamiltonian. And our general QNN neural network training starts from the classical data set. The general method is to program the classical data into a quantum state, so what if I want to use VQA to train the classical data set? How can a classical data set be transformed into a Hamiltonian instead of a quantum state?

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    Thread title has been changed from How to map the classic data set to the Hamiltonian.