The paper derives QAOA parameters from the infinite regular tree limit using tensor networks, so quantum hardware is only needed to sample the final state.
As for QAOA, the objective of QA is to find low-lying energy states of classical problem Hamiltonians HP
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Training the Quantum Approximate Optimization Algorithm without access to a Quantum Processing Unit
The paper derives QAOA parameters from the infinite regular tree limit using tensor networks, so quantum hardware is only needed to sample the final state.