Minisymposium Presentation

One of the primary goals at the LRZ is to steer quantum circuit compilation to unlock the full potential of quantum accelerators within HPC environments. During the presentation, I will explore the details of our approach with the Munich Quantum Software Stack (MQSS), specifically around quantum circuit optimization. To address these challenges, we have developed a range of heuristics to guide different types of design space explorations. Specifically, I will discuss: 1) our novel circuit cutter technique, which divides circuits into smaller segments to enhance compatibility with available accelerators. 2) Our dynamic scheduling approach, where target accelerators are chosen for each segment to optimize resource usage. And 3) our heuristic selection process for custom-made LLVM passes, aimed at finding a balance between optimization and computational efficiency. Furthermore, central to our optimization efforts is the seamless interaction with quantum devices to retrieve relevant information during the JIT compilation stages. This includes critical data such as the aforementioned supported gate sets and coupling mappings of the targeted device for accurate circuit mapping. I will explain how we interface our devices to facilitate this interaction, allowing us to access complex information such as device topologies and lists of available quantum devices.