Athanasios Hadjidimoulas

Identity-Paired Progressive Depth Training: When Trainability Persists Beyond Expressibility

Athanasios Hadjidimoulas, Tirthak Patel, Anastasios Kyrillidis

Variational Quantum Algorithms (VQAs) are a leading paradigm for near-term quantum computing, yet their training suffers from sensitivity to circuit depth, initialization, and landscape pathologies such as barren plateaus. We study \emph{progressive depth training} (PDT) -- a lay…Read more