Analysis of Quantum Approximate Optimization Algorithm under Realistic Noise in Superconducting Qubits

13 Jul 2019Mahabubul AlamAbdullah Ash-SakiSwaroop Ghosh

The quantum approximate optimization algorithm (QAOA) is a promising quantum-classical hybrid technique to solve combinatorial optimization problems in near-term gate-based noisy quantum devices. 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)... (read more)

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