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The increasing capabilities of quantum computing hardware and the challengeof realizing deep quantum circuits require fully automated and efficient toolsfor compiling quantum circuits. To express arbitrary circuits in a sequence ofnative gates specific to the quantum computer architecture, it is necessary tomake algorithms portable across the landscape of quantum hardware providers. Inthis work, we present a compiler capable of transforming and optimizing aquantum circuit targeting a shuttling-based trapped-ion quantum processor. Itconsists of custom algorithms set on top of the quantum circuit frameworkPytket. The performance was evaluated for a wide range of quantum circuits andthe results show that the gate counts can be reduced by factors up to 5.1compared to standard Pytket and up to 2.2 compared to standard Qiskitcompilation.

Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer