Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems

Published in ISCAS 2025 – IEEE International Symposium on Circuits and Systems, 2025

This paper presents a resource-efficient compilation framework for distributed quantum circuits aimed at solving large-scale wireless sensor network (WSN) routing problems. Core contributions include:

  • Use of spectral clustering for network partitioning and distributed QAOA for subgraph optimization.
  • Formulation of the WSN routing task as a Quadratic Unconstrained Binary Optimization (QUBO) problem, enabling quantum-based solution strategies.
  • Demonstrated energy savings and scalability over classical algorithms, supporting efficient WSN operation in complex deployments.

This work showcases the practical potential of quantum computing in wireless communications, offering scalable, low-energy solutions for next-generation network optimization challenges.

Resource-Efficient Distributed Quantum Compilation for WSN Routing

Recommended citation: Chen, Kuan-Cheng; Burt, Felix; Yu, Shang; Liu, Chen-Yu; Hsieh, Min-Hsiu; & Leung, Kin K. (2025). "Resource-Efficient Compilation of Distributed Quantum Circuits for Solving Large-Scale Wireless Communication Network Problems." Proceedings of ISCAS 2025 – IEEE International Symposium on Circuits and Systems.
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