Sending Quantum-Workloads Seamlessly to Both HPC Cluster and Quantum Computers
Monday, May 13, 2024 3:00 PM to Wednesday, May 15, 2024 4:00 PM · 2 days 1 hr. (Europe/Berlin)
Foyer D-G - 2nd floor
Project Poster
Development of HPC SkillsIndustrial Use Cases of HPC, ML and QCIntegration of Quantum Computing and HPC
Information
Poster is on display.
With the rise of quantum computer and the convergence between HPC and cloud computing emerge the need for researcher to have a common interface between the quantum simulation they started doing on a classical HPC cluster and the real experiment on quantum computer. Looking forward this need is expected to include a similar experience moving towards a hybrid quantum-classical HPC cluster. At Pasqal we launched a platform for both clients and internal users to run experiments either on our QPU or HPC cluster. This platform is hosted on the public OVH cloud managed by Kubernetes and integrates a Slurm managed on-premise HPC cluster. This allow us to convert and prepare the code to run on our custom statevector and tensor-network emulators or directly on an available QPU using our own program to schedule jobs on QPUs.
Contributors:
With the rise of quantum computer and the convergence between HPC and cloud computing emerge the need for researcher to have a common interface between the quantum simulation they started doing on a classical HPC cluster and the real experiment on quantum computer. Looking forward this need is expected to include a similar experience moving towards a hybrid quantum-classical HPC cluster. At Pasqal we launched a platform for both clients and internal users to run experiments either on our QPU or HPC cluster. This platform is hosted on the public OVH cloud managed by Kubernetes and integrates a Slurm managed on-premise HPC cluster. This allow us to convert and prepare the code to run on our custom statevector and tensor-network emulators or directly on an available QPU using our own program to schedule jobs on QPUs.
Contributors:
Format
On-site
