Tight and Efficient Gradient Bounds for Parameterized Quantum Circuits
The training of a parameterized model largely depends on the landscape of the underlying loss function. In particular, vanishing gradients are a central bottleneck in the scalability of variational quantum algorithms (VQAs), and are known to arise in various ways. However, a caveat of most existing...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften
2024-09-01
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| Serie: | Quantum |
| Accesso online: | https://quantum-journal.org/papers/q-2024-09-25-1484/pdf/ |
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