One nine availability of a Photonic Quantum Computer on the Cloud toward HPC integration
Nicolas Maring, Andreas Fyrillas, Mathias Pont, Edouard Ivanov, Eric, Bertasi, Mario Valdivia, Jean Senellart

TL;DR
This paper presents a photonic quantum computer accessible via the cloud, achieving 92% availability over six months, demonstrating its potential for integration with high-performance computing environments.
Contribution
The work introduces the first cloud-accessible photonic quantum computer with high availability, facilitating integration with HPC systems and advancing quantum computing accessibility.
Findings
Achieved 92% availability for external users over six months
Demonstrated seamless integration potential with HPC environments
Established a foundation for accessible hybrid quantum-classical computing
Abstract
The integration of Quantum Computers (QC) within High-Performance Computing (HPC) environments holds significant promise for solving real-world problems by leveraging the strengths of both computational paradigms. However, the integration of a complex QC platform in an HPC infrastructure poses several challenges, such as operation stability in non-laboratory like environments, and scarce access for maintenance. Currently, only a few fully-assembled QCs currently exist worldwide, employing highly heterogeneous and cutting-edge technologies. These platforms are mostly used for research purposes, and often bear closer resemblance to laboratory assemblies rather than production-ready, stable, and consistently-performing turnkey machines. Moreover, public cloud services with access to such quantum computers are scarce and their availability is generally limited to few days per week. In…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsOptical Network Technologies · Quantum Information and Cryptography · Neural Networks and Reservoir Computing
