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

Increasing capabilities of quantum computing hardware and the challenge to realize deep quantum circuits call for fully automated and efficient tools to compile quantum circuits. To express arbitrary circuits in a sequence of native gates pertaining to the specific quantum computer architecture is necessary to make algorithms portable across the landscape of quantum hardware providers. In this work, we present a compiler capable of transforming and optimizing a quantum circuit, targeting a shuttling-based trapped-ion quantum processor. It consists of custom algorithms set on top of the Cambridge Quantum Computer's quantum circuit framework Pytket. The performance is evaluated for a wide range of quantum circuits, showing that the gate counts can be reduced by a factor of up to 3.6 compared to standard Pytket and up to 2.2 compared to standard Qiskit compilation, while we achieve similar gate counts as compared to a Pytket extension targeting the AQT linear-static trapped ion addressing-based architecture.