Stochastic gradient line Bayesian optimization for efficient noise-robust optimization of parameterized quantum circuits
Abstract Optimizing parameterized quantum circuits is a key routine in using near-term quantum devices. However, the existing algorithms for such optimization require an excessive number of quantum-measurement shots for estimating expectation values of observables and repeating many iterations, whos...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2022-07-01
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| Edice: | npj Quantum Information |
| On-line přístup: | https://doi.org/10.1038/s41534-022-00592-6 |
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