Transpiler Autotuning with Predictive Models for Quantum Circuit Optimization
Quantum software engineering is an emerging research field focusing on efficiently embedding the quantum programming paradigm into existing software ecosystems. A key aspect of this field is the realization of quantum algorithms using gate-based programming and the subsequent low-level optimization of the resulting quantum circuits, a process that is commonly performed by so-called transpilation pipelines. One significant challenge in these pipelines is determining which optimizations to apply to a given circuit. This decision is usually based on fixed default configurations that are uniformly applied to all circuits, frequently resulting in missed opportunities for more aggressive circui...
| Authors | Piotr Malkowski, Domenik Eichhorn, Joshua Ammermann et al. |
|---|---|
| Primary category | quant-ph |
| Published | 31 July 2026 |
| Last updated at source | 31 July 2026 |
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