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Accelerating Quantum Approximate Optimization Algorithm using Machine Learning
As a result, the optimization loop converges in a fewer number of iterations.
Analysis of Quantum Approximate Optimization Algorithm under Realistic Noise in Superconducting Qubits
In QAOA, the objective is a function of the quantum state, which itself is a function of the gate parameters of a multi-level parameterized quantum circuit (PQC).
Quantum Physics Emerging Technologies
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