2025
Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks
ICLR 2025poster
With the increasing interest in Quantum Machine Learning, Quantum Neural Networks (QNNs) have emerged and gained significant attention. These models have, however, been shown to be notoriously difficult to train, which we hypothesize is partially due to the architectures, called ansatzes, that are h…