QDMI - Quantum Device Management Interface: Hardware-Software Interface for the Munich Quantum Software Stack
Quantum computing is a promising technology that requires a sophisticated software stack to connect end users to the wide range of possible quantum backends. However, current software tools are usually hard-coded for single platforms and lack a dynamic interface that can automatically retrieve and adapt to changing physical characteristics and constraints of different platforms. With new hardware platforms frequently introduced and their performance changing on a daily basis, this constitutes a serious limitation. In this paper, we show-case a concept and a prototypical realization of an interface, called the Quantum Device Management Interface (QDMI), that addresses this problem by explicitly connecting the software and hardware developers, mediating between their competing interests. QDMI allows hardware platforms to provide their physical characteristics in a standardized way, and software tools to query that data to guide the compilation process accordingly. This enables software tools to automatically adapt to different platforms and to optimize the compilation process for the specific hardware constraints. QDMI is a central part of the Munich Quantum Software Stack (MQSS)-a sophisticated software stack to connect end users to the wide range of possible quantum backends. QDMI is publicly available as open source at https://github.com/Munich-Quantum-Software-Stack/QDMI.
Authors
- Laura Schulz (ORCID: https://orcid.org/0000-0002-4702-3440)
- Lukas Burgholzer (ORCID: https://orcid.org/0000-0003-4699-1316)
- Martin Schulz (ORCID: https://orcid.org/0000-0001-9013-435X)
- L. Schmid (ORCID: https://orcid.org/0000-0002-4246-8125)
- Jorge Echavarria (ORCID: https://orcid.org/0000-0002-3751-5273)
- Yannick Stade (ORCID: https://orcid.org/0000-0001-5785-2528)
Institutions
- Leibniz Supercomputing Centre (DE)
- Technical University of Munich (DE)
Publication Details
- Published
- 2024-09-15
- DOI
- https://doi.org/10.1109/qce60285.2024.10411
- Citations
- 8
- Primary Topic
- Cloud Computing and Resource Management
- Type
- article
- Field-Weighted Citation Impact
- 6.23