Geometrical versus time-series representation of data in quantum control learning. (arXiv:1803.05169v2 [quant-ph] CROSS LISTED)

Recently machine learning techniques have become popular for analysing
physical systems and solving problems occurring in quantum computing. In this
paper we focus on using such techniques for finding the sequence of physical
operations implementing the given quantum logical operation. In this context we
analyse the flexibility of the data representation and compare the
applicability of two machine learning approaches based on different
representations of data. We demonstrate that the utilization of the geometrical
structure of control pulses is sufficient …

arxiv data learning quantum representation series time