Hrant Gharibyan

Hierarchical Learning for Quantum ML: Novel Training Technique for Large-Scale Variational Quantum Circuits

2023 · arXiv (Cornell University)

We present hierarchical learning, a novel variational architecture for efficient training of large-scale variational quantum circuits. We test and benchmark our technique for distribution loading with quantum circuit born machines (QCBMs). With QCBMs, probability distributions …

Hierarchical Learning for Training Large-Scale Variational Quantum Circuits

2024

Quantum Circuit Born Machines (QCBMs) are variational circuits whose goal is to encode a classical probability distribution in the measurement outcomes. With Hierarchical Learning (HL), we exploit the structure of the qubit mapping in this …