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Improving the Performance of Quantum Approximate Optimization Algorithm Through an Adaptive, Problem-Tailored Ansatz
Improving the Performance of Quantum Approximate Optimization Algorithm Through an Adaptive, Problem-Tailored Ansatz
2021
Linghua Zhu
Ho Lun Tang
George S. Barron
F. A. Calderon-Vargas
Nicholas J. Mayhall
Edwin Barnes
Sophia E. Economou
Keywords:
Mathematical optimization
optimization algorithm
Ansatz
Computer science
Quantum
Correction
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