Generalization of quantum machine learning models using quantum fisher information metric
T Haug, MS Kim - Physical Review Letters, 2024 - APS
Generalization is the ability of machine learning models to make accurate predictions on
new data by learning from training data. However, understanding generalization of quantum …
new data by learning from training data. However, understanding generalization of quantum …
Double descent in quantum machine learning
The double descent phenomenon challenges traditional statistical learning theory by
revealing scenarios where larger models do not necessarily lead to reduced performance …
revealing scenarios where larger models do not necessarily lead to reduced performance …
Few measurement shots challenge generalization in learning to classify entanglement
L Banchi, J Pereira, M Zamboni - arxiv preprint arxiv:2411.06600, 2024 - arxiv.org
The ability to extract general laws from a few known examples depends on the complexity of
the problem and on the amount of training data. In the quantum setting, the learner's …
the problem and on the amount of training data. In the quantum setting, the learner's …