@inproceedings{b1a410c5862a479e8143c11ffb8d9af6,
title = "GTQCP: Greedy Topology-Aware Quantum Circuit Partitioning",
abstract = "We propose Greedy Topology-Aware Quantum Circuit Partitioning (GTQCP), a novel quantum gate circuit partitioning method which partitions circuits by applying a greedy heuristic to the qubit dependency graph of the circuit. GTQCP is compared against three other gate partitioning methods, two of which (QuickPartitioner and ScanPartitioner) are part of the Berkley Quantum Synthesis Toolkit. GTQCP is shown to have 18% run time improvement ratio over the fastest approach (QuickPartitioner), and a 96% improvement over the highest quality approach (ScanPartitioner). The algorithm also demonstrates nearly identical result quality (number of partitions) compared with ScanPartitioner, and a 38% quality improvement over QuickPartitioner.",
keywords = "partitioning algorithm, quantum circuits, quantum computing",
author = "Joseph Clark and Humble, {Travis S.} and Himanshu Thapliyal",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 4th IEEE International Conference on Quantum Computing and Engineering, QCE 2023 ; Conference date: 17-09-2023 Through 22-09-2023",
year = "2023",
doi = "10.1109/QCE57702.2023.00089",
language = "English",
series = "Proceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "739--744",
editor = "Hausi Muller and Yuri Alexev and Andrea Delgado and Greg Byrd",
booktitle = "Proceedings - 2023 IEEE International Conference on Quantum Computing and Engineering, QCE 2023",
}