Quantum gradient descent and Newton's method for constrained polynomial optimization
Optimization problems in disciplines such as machine learning are commonly solved with iterative methods. Gradient descent algorithms find local minima by moving along the direction of steepest descent while Newton's method takes into account curvature information and thereby often improves con...
| Main Authors: | , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing,
2020-05-27T14:00:34Z.
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| Subjects: | |
| Online Access: | Get fulltext |