Cutting is All You Need: Execution of Large-Scale Quantum Neural
Networks on Limited-Qubit Devices
Cutting is All You Need: Execution of Large-Scale Quantum Neural
Networks on Limited-Qubit Devices
The rapid advancement in Quantum Computing (QC), particularly through Noisy-Intermediate Scale Quantum (NISQ) devices, has spurred significant interest in Quantum Machine Learning (QML) applications. Despite their potential, fully-quantum QML algorithms remain impractical due to the limitations of current NISQ devices. Hybrid quantum-classical neural networks (HQNNs) have emerged as a viable …