Recursive greedy initialization of the quantum approximate optimization algorithm with guaranteed improvement

The quantum approximate optimization algorithm (QAOA) is a variational quantum algorithm, where a quantum computer implements a variational ansatz consisting of \(p\) layers of alternating unitary operators and a classical computer is used to optimize the variational parameters. For a random initial...

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Vydané v:	arXiv.org
Hlavní autori:	Sack, Stefan H, Medina, Raimel A, Kueng, Richard, Serbyn, Maksym
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Ithaca Cornell University Library, arXiv.org 06.06.2023
Predmet:	Algorithms Minima Optimization Optimization algorithms Parameters Quantum computers Saddle points
ISSN:	2331-8422
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