Comment by mxwsn

From the preprint - 100 input dimensions is considered "high", and most problems considered have 5 or fewer input dimensions. This is typical of physics-inspired settings I've seen considered in ML. The next step would be demonstrating them on MNIST, which, at 784 dimensions is tiny by modern standards.