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The framework of the PHLA. We design a parameterized quantum Hamiltonian learning algorithm based on PHL, where the gap between the intermediate state and final state is calculated using the method of comparing the expectation of Hamiltonian in the quantum system. The ultimate state is with the highest expectation value.

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