Smit Chaudhary

Towards a scalable discrete quantum generative adversarial neural network

2023 · Quantum Science and Technology

Abstract Quantum generative adversarial networks (QGANs) have been studied in the context of quantum machine learning for several years, but there has not been yet a proposal for a fully QGAN with both, a quantum …

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 …