Efficient Time-Aware Partitioning of Quantum Circuits for Distributed Quantum Computing

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Wu, Raymond P. H., Ranaweera, Chathu, Rajasegarar, Sutharshan, Joseph, Ria Rushin, Choi, Jinho, Loke, Seng W.
Format: Preprint
Published: 2026
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866911672629723136
author Wu, Raymond P. H.
Ranaweera, Chathu
Rajasegarar, Sutharshan
Joseph, Ria Rushin
Choi, Jinho
Loke, Seng W.
author_facet Wu, Raymond P. H.
Ranaweera, Chathu
Rajasegarar, Sutharshan
Joseph, Ria Rushin
Choi, Jinho
Loke, Seng W.
contents To overcome the physical limitations of scaling monolithic quantum computers, distributed quantum computing (DQC) interconnects multiple smaller-scale quantum processing units (QPUs) to form a quantum network. However, this approach introduces a critical challenge, namely the high cost of quantum communication between remote QPUs incurred by quantum state teleportation and quantum gate teleportation. To minimize this communication overhead, DQC compilers must strategically partition quantum circuits by mapping logical qubits to distributed physical QPUs. Static graph partitioning methods are fundamentally ill-equipped for this task as they ignore execution dynamics and underlying network topology, while metaheuristics require substantial computational runtime. In this work, we propose a heuristic based on beam search to solve the circuit partitioning problem. Our time-aware algorithm incrementally constructs a low-cost sequence of qubit assignments across successive time steps to minimize overall communication overhead. The time and space complexities of the proposed algorithm scale quadratically with the number of qubits and linearly with circuit depth, offering a significant computational speedup over common metaheuristics. We demonstrate that our proposed algorithm consistently achieves significantly lower communication costs than static baselines across varying circuit sizes, depths, and network topologies, providing an efficient compilation tool for near-term distributed quantum hardware.
format Preprint
id arxiv_https___arxiv_org_abs_2603_04126
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Efficient Time-Aware Partitioning of Quantum Circuits for Distributed Quantum Computing
Wu, Raymond P. H.
Ranaweera, Chathu
Rajasegarar, Sutharshan
Joseph, Ria Rushin
Choi, Jinho
Loke, Seng W.
Quantum Physics
Distributed, Parallel, and Cluster Computing
To overcome the physical limitations of scaling monolithic quantum computers, distributed quantum computing (DQC) interconnects multiple smaller-scale quantum processing units (QPUs) to form a quantum network. However, this approach introduces a critical challenge, namely the high cost of quantum communication between remote QPUs incurred by quantum state teleportation and quantum gate teleportation. To minimize this communication overhead, DQC compilers must strategically partition quantum circuits by mapping logical qubits to distributed physical QPUs. Static graph partitioning methods are fundamentally ill-equipped for this task as they ignore execution dynamics and underlying network topology, while metaheuristics require substantial computational runtime. In this work, we propose a heuristic based on beam search to solve the circuit partitioning problem. Our time-aware algorithm incrementally constructs a low-cost sequence of qubit assignments across successive time steps to minimize overall communication overhead. The time and space complexities of the proposed algorithm scale quadratically with the number of qubits and linearly with circuit depth, offering a significant computational speedup over common metaheuristics. We demonstrate that our proposed algorithm consistently achieves significantly lower communication costs than static baselines across varying circuit sizes, depths, and network topologies, providing an efficient compilation tool for near-term distributed quantum hardware.
title Efficient Time-Aware Partitioning of Quantum Circuits for Distributed Quantum Computing
topic Quantum Physics
Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2603.04126