From the 1 of 6 linked papers with an AI index.
6 papers
Industry-ready spin-photon interfaces for hybrid photonic quantum computing
Hêlio Huet, Hubert Lam, Thibaut Pollet +45
The paper demonstrates large‑scale, foundry‑compatible semiconductor quantum‑dot devices that act as efficient spin‑photon interfaces, achieving near‑unity photon purity, multi‑pho…
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…
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…
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…
Resource-efficient crosstalk mitigation for the high-fidelity operation of photonic integrated circuits with induced phase shifters
Andreas Fyrillas, Nicolas Heurtel, Simone Piacentini +3
Photonic integrated circuits (PICs) are key platforms for the compact and stable manipulation of classical and quantum light. Imperfections arising from fabrication constraints, to…
Systematic benchmarking of quantum computers: status and recommendations
Jeanette Miriam Lorenz, Thomas Monz, Jens Eisert +11
Architectures for quantum computing can only be scaled up when they are accompanied by suitable benchmarking techniques. The document provides a comprehensive overview of the state…