Towards an extendible hybrid quantum computer in the cloud
ORAL
Abstract
In the first release of Quantum Inspire (www.quantum-inspire.com), the main focus was on executing quantum circuits. We will present the architecture and functionality of a new version (2.0) that unlocks hybrid computing using co-located classical servers. A dispatcher orchestrates the execution of both classical and quantum tasks to be run on the system. Via a dedicated connection, these tasks communicate with each other.
This setup forms the core of Quantum Inspire. However, the system is extendible both with regard to input and output. As part of the National Program Quantum Technology, new quantum computers are being built and existing ones are upgraded to connect to the platform. Users can write an algorithm once to run it many times on the different computers, with little to no tweaks necessary.
The platform is furthermore reachable from different end-user interfaces. Quantum Inspire offers native support via a web application and SDK. Additionally, integration with High-Performance Computing (HPC) centers is also on the roadmap. For this, initial tests are run in collaboration with the Dutch National HPC Center, hosted by Surf.
This setup forms the core of Quantum Inspire. However, the system is extendible both with regard to input and output. As part of the National Program Quantum Technology, new quantum computers are being built and existing ones are upgraded to connect to the platform. Users can write an algorithm once to run it many times on the different computers, with little to no tweaks necessary.
The platform is furthermore reachable from different end-user interfaces. Quantum Inspire offers native support via a web application and SDK. Additionally, integration with High-Performance Computing (HPC) centers is also on the roadmap. For this, initial tests are run in collaboration with the Dutch National HPC Center, hosted by Surf.
*This work was supported by the Dutch National Growth Fund (NGF), as part of the Quantum Delta NL programme and by the European Union's Horizon 2020 research and acknowledge Surf for providing acces to HPC resources.
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Presenters
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Olaf M Schusler
- Delft University of Technology
- QuTech/TUD