3 papers
quant-ph2026
Pre-Asymptotic Trainability in Photonic Variational Circuits under Postselection
Yichen Xie, Cassandre Notton, Jean Senellart
Barren plateaus (BP) in variational quantum circuits are commonly attributed to strong mixing dynamics that cause gradient variance to vanish exponentially with system size. Passiv…
cs.LG2026
MerLin: A Discovery Engine for Photonic and Hybrid Quantum Machine Learning
Cassandre Notton, Benjamin Stott, Philippe Schoeb +7
Identifying where quantum models may offer practical benefits in near term quantum machine learning (QML) requires moving beyond isolated algorithmic proposals toward systematic an…
quant-ph2025
Establishing Baselines for Photonic Quantum Machine Learning: Insights from an Open, Collaborative Initiative
Cassandre Notton, Vassilis Apostolou, Agathe Senellart +28
The Perceval Challenge is an open, reproducible benchmark designed to assess the potential of photonic quantum computing for machine learning. Focusing on a reduced and hardware-fe…