Optimal quantum dataset for learning a unitary transformation. (arXiv:2203.00546v2 [quant-ph] UPDATED)

Web: http://arxiv.org/abs/2203.00546

Unitary transformations formulate the time evolution of quantum states. How
to learn a unitary transformation efficiently is a fundamental problem in
quantum machine learning. The most natural and leading strategy is to train a
quantum machine learning model based on a quantum dataset. Although presence of
more training data results in better models, using too much data reduces the
efficiency of training. In this work, we solve the problem on the minimum size
of sufficient quantum datasets for learning a …

arxiv dataset learning quantum transformation