EDDQC: Enhanced Dynamical Distributing Quantum Compilation
This article presents enhanced dynamical distributing quantum compilation (EDDQC), an optimized method for distributed quantum computing (DQC) using linear nearest neighbor (LNN) architecture integrated with quantum switches. By leveraging the symmetry of LNN topology and designating dangling qubits as communication links, our approach optimizes compilation for high local connectivity, sparse full connectivity algorithms (HLC-SFC) like quantum approximate optimization algorithm (QAOA) and quantum Fourier transform (QFT). Experimental results demonstrate significant performance improvements over traditional methods, including reductions in cross-group swaps by up to 67.2%, gate count by 43.8%, and total execution cycles by up to 40%. We also utilize the area law of entanglement entropy to limit entanglement growth in our 1-D system. Our comprehensive approach combines LNN chains’ efficiency with reconfigurable network flexibility, enhancing scalability and robustness for large-scale quantum computations.
Authors
- Samuel Yen-Chi Chen (ORCID: https://orcid.org/0000-0003-0114-4826)
- Haochen Luo (ORCID: https://orcid.org/0000-0002-8846-527X)
- Zhiding Liang (ORCID: https://orcid.org/0000-0002-7568-0165)
- Yidong Zhou
- Jinglei Cheng (ORCID: https://orcid.org/0000-0001-9535-6672)
- Kecheng Liu (ORCID: https://orcid.org/0009-0005-6456-5208)
- Yuchen Zhu
- Lingjun Xiong
- Eilis Casey
Institutions
- Rensselaer Polytechnic Institute (US)
- Wells Fargo (United States) (US)
- University of Pittsburgh (US)
- Cornell University (US)
Publication Details
- Journal
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1109/tvlsi.2025.3600096
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 0.00