Callum Duffy

Quantum Circuit Training with Growth-Based Architectures

2024 · arXiv (Cornell University)

This study introduces growth-based training strategies that incrementally increase parameterized quantum circuit (PQC) depth during training, mitigating overfitting and managing model complexity dynamically. We develop three distinct methods: Block Growth, Sequential Feature Map Growth, and …