One-Shot Structured Pruning of Quantum Neural Networks via $q$-Group Engineering and Quantum Geometric Metrics

This article likely presents a novel method for optimizing quantum neural networks. The title suggests a focus on pruning (removing unnecessary components) to improve efficiency, using mathematical tools like q-group engineering and quantum geometric metrics. The 'one-shot' aspect implies a streamlined pruning process.