Alameda Hospital

Gradient usability in few-qubit quantum Neural Networks: A signal-to-noise ratio framework for evaluating mitigation strategies

The barren-plateau problem—the exponential flattening of optimization landscapes—severely limits the trainability of quantum neural networks (QNNs) on near-term hardware. This review examines ansatz-design and complementary mitigation strategies for few-qubit QNNs under finite-sh...