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Trapped Ion Quantum Computing

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout

arXiv
Authors: Kecheng Liu, Yidong Zhou, Haochen Luo, Lingjun Xiong, Yuchen Zhu, Eilis Casey, Jinglei Cheng, Samuel Yen-Chi Chen, Zhiding Liang

Year

2024

Paper ID

37396

Status

Preprint

Abstract Read

~2 min

Abstract Words

84

Citations

N/A

Abstract

In this paper, we propose an efficient compilation method for distributed quantum computing (DQC) using the Linear Nearest Neighbor (LNN) architecture. By exploiting the LNN topology's symmetry, we optimize quantum circuit compilation for High Local Connectivity, Sparse Full Connectivity (HLC-SFC) algorithms like Quantum Approximate Optimization Algorithm (QAOA) and Quantum Fourier Transform (QFT). We also utilize dangling qubits to minimize non-local interactions and reduce SWAP gates. Our approach significantly decreases compilation time, gate count, and circuit depth, improving scalability and robustness for large-scale quantum computations.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • In this paper, we propose an efficient compilation method for distributed quantum computing (DQC) using the Linear Nearest Neighbor (LNN) architecture.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:2410.23857 [2] arXiv https://arxiv.org/abs/2410.23857 [3] Publisher https://arxiv.org/abs/2410.23857

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