71 citations · 89 across the 11 of their papers we have counts for
11 papers
Industry-ready spin-photon interfaces for hybrid photonic quantum computing
Hêlio Huet, Hubert Lam, Thibaut Pollet +45
Hybrid photonic quantum computers, combining stationary matter qubits and flying photonic qubits, offer an intrinsically networked and resource-efficient route to large-scale, erro…
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…
Scalable machine learning-assisted clear-box characterization for optimally controlled photonic circuits
Andreas Fyrillas, Olivier Faure, Nicolas Maring +2
Photonic integrated circuits offer a compact and stable platform for generating, manipulating, and detecting light. They are instrumental for classical and quantum applications. Im…
One nine availability of a Photonic Quantum Computer on the Cloud toward HPC integration
Nicolas Maring, Andreas Fyrillas, Mathias Pont +4
The integration of Quantum Computers (QC) within High-Performance Computing (HPC) environments holds significant promise for solving real-world problems by leveraging the strengths…
A general-purpose single-photon-based quantum computing platform
Nicolas Maring, Andreas Fyrillas, Mathias Pont +24
Quantum computing aims at exploiting quantum phenomena to efficiently perform computations that are unfeasible even for the most powerful classical supercomputers. Among the promis…
High-fidelity generation of four-photon GHZ states on-chip
Mathias Pont, Giacomo Corrielli, Andreas Fyrillas +17
Mutually entangled multi-photon states are at the heart of all-optical quantum technologies. While impressive progresses have been reported in the generation of such quantum light…
Perceval: A Software Platform for Discrete Variable Photonic Quantum Computing
Nicolas Heurtel, Andreas Fyrillas, Grégoire de Gliniasty +13
We introduce Perceval, an open-source software platform for simulating and interfacing with discrete-variable photonic quantum computers, and describe its main features and compone…