Improving Quantum Optimization Algorithms by Constraint Relaxation

Quantum optimization is a significant area of quantum computing research with anticipated near-term quantum advantages. Current quantum optimization algorithms, most of which are hybrid variational-Hamiltonian-based algorithms, struggle to present quantum devices due to noise and decoherence. Existi...

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Vydané v:	Applied sciences Ročník 14; číslo 18; s. 8099
Hlavní autori:	Pecyna, Tomasz, Różycki, Rafał
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2024
Predmet:	Algorithms Energy Hamiltonian Mathematical optimization Optimization algorithms quadratic unconstrained binary optimization quantum approximate optimization algorithm Quantum computing quantum optimization tactical aircraft deconfliction problem
ISSN:	2076-3417, 2076-3417
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