Transferability of optimal QAOA parameters between random graphs

The Quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization. In a typical QAOA setup, a set of quantum circuit parameters is optimized to prepare a quantum state used to find the opt...

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Bibliographic Details

Published in:	2021 IEEE International Conference on Quantum Computing and Engineering (QCE) pp. 171 - 180
Main Authors:	Galda, Alexey, Liu, Xiaoyuan, Lykov, Danylo, Alexeev, Yuri, Safro, Ilya
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2021
Subjects:	Approximation algorithms Conferences Convergence Optimization Quantum algorithm quantum approximate optimization algorithm Quantum circuit quantum computing quantum optimization Quantum state tensor-network simulator
Online Access:	Get full text
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