What question did this study set out to answer?

To evaluate the computational capabilities of trapped-ion quantum computers by examining qubit connectivity and compiler optimizations.

February 11, 20260 citationsOpen Access

Computational Capabilities of the Trapped-Ion Quantum Computer

LSL. Schmid JEJ. Eisinger DSDaniel Schönberger

Key Points

To evaluate the computational capabilities of trapped-ion quantum computers by examining qubit connectivity and compiler optimizations.
Categorized levels of qubit connectivity for processors.
Applied computer-science techniques for compiler development.
Developed optimized compilers for 1D and 2D architectures.
Focused on mapping algorithms to ion-register reconfigurations and gate operations.
Identified various levels of qubit connectivity.
Created compilers that optimize reconfiguration effort.
Demonstrated improved algorithm mapping to quantum operations.

Abstract

Trapped-ion quantum computer hardware is scaling to larger qubit numbers, but the computational capabilities of these devices remain largely unknown. From an abstract computer-science perspective, we address this problem in a two-step approach: First, we categorize levels of qubit connectivity for a processor based on ion-shuttling and individual ion addressing. Second, we apply computer-science techniques to develop optimized compilers that map arbitrary algorithms to sequences of ion-register reconfiguration and gate operations. We present compilers for 1D and 2D architectures, optimizing cost functions such as the qubit reconfiguration effort.

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