Compilation strategies for quantum network programs using Qoala
Samuel Oslovich, Bart van der Vecht, Stephanie Wehner

TL;DR
This paper presents new compilation strategies leveraging Qoala to optimize quantum network application performance, significantly reducing execution time and increasing success probability through simulation.
Contribution
It introduces novel compiler strategies enabled by Qoala extensions, improving quantum network program scheduling and execution performance.
Findings
Reduced execution time by up to 29.53%
Increased success probability by up to 25.12%
Demonstrated effectiveness through simulation
Abstract
Execution of quantum network applications requires a software stack for nodes. Recently, the first designs and demonstrations have been proposed for such software stacks, including QNodeOS and its extension, Qoala. The latter enables compilation strategies previously not possible in QNodeOS. Here, we show how the extensions provided by Qoala can be used by a compiler to improve the performance of quantum network applications. We define new compilation strategies that allow the compiler to influence the scheduling and execution of quantum programs on a quantum network node. Through simulation, we demonstrate that our compilation strategies can reduce the execution time by up to 29.53% and increase the success probability by up to 25.12%. Our work highlights the potential of compiler optimizations for quantum network programs.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Cloud Computing and Resource Management
