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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| Published in: | Applied sciences Vol. 14; no. 18; p. 8099 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Basel
MDPI AG
01.09.2024
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| Subjects: | |
| ISSN: | 2076-3417, 2076-3417 |
| Online Access: | Get full text |
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