Quantum Circuit Compiler for a Shuttling-Based Trapped-Ion Quantum Computer
This work addresses the need for efficient compilation tools to make quantum algorithms portable across hardware providers, though it is incremental as it builds on existing frameworks like Pytket.
The authors tackled the problem of compiling quantum circuits for shuttling-based trapped-ion quantum computers, resulting in gate count reductions of up to 5.1x compared to standard Pytket and up to 2.2x compared to standard Qiskit.
The increasing capabilities of quantum computing hardware and the challenge of realizing deep quantum circuits require fully automated and efficient tools for compiling quantum circuits. To express arbitrary circuits in a sequence of native gates specific to the quantum computer architecture, it 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 quantum circuit framework Pytket. The performance was evaluated for a wide range of quantum circuits and the results show that the gate counts can be reduced by factors up to 5.1 compared to standard Pytket and up to 2.2 compared to standard Qiskit compilation.