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Trapped Ion Quantum Computing
Towards an Optimally Distributed Quantum Fourier Transform Circuit
arXiv
Authors: Zachary Vernec, Michael Silver, Hans-Arno Jacobsen
Year
2026
Paper ID
69418
Status
Preprint
Abstract Read
~2 min
Abstract Words
145
Citations
N/A
Abstract
A promising avenue for scaling quantum computing is to connect quantum processing units (QPUs) by generating entanglement between them. This requires circuit partitioning: partially rewriting quantum circuits to run on a distributed quantum system using quantum teleportation protocols, while preserving the unitary operation implemented by the circuit. The key metric to minimize when partitioning is the e-bit count, defined as the number of maximally entangled qubit pairs that must be generated between QPUs. We focus on partitioning the quantum Fourier transform (QFT) circuit, which is widely used as a subroutine in quantum algorithms such as quantum phase estimation and arithmetic circuits. Specifically, we present a partitioning scheme based on optimal gate-packing, compare it against prior analytical partitioning schemes for the QFT, and evaluate it against partitions produced by general-purpose circuit partitioning algorithms. We further validate our approach by implementing the partitioned circuit on quantum hardware.
Why This Paper Matters
- This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- A promising avenue for scaling quantum computing is to connect quantum processing units (QPUs) by generating entanglement between them.
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