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Updated: Jun 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Synchronization-based scalability of complex clustered networks.

Xiaojuan Ma¹, Liang Huang, Ying-Cheng Lai

¹Department of Electrical Engineering, Arizona State University, Tempe, Arizona 85287, USA.

Chaos (Woodbury, N.Y.)

|January 7, 2009

Summary

This summary is machine-generated.

Synchronous dynamics in complex clustered networks can be maintained or enhanced as network size increases. However, this often leads to a loss of the clustered topology, suggesting large, synchronized networks may not be clustered.

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Last Updated: Jun 26, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

Area of Science:

Network science
Complex systems dynamics
Statistical physics

Background:

Complex clustered networks are prevalent across various systems (biological, social, technological).
Synchronous dynamics on these networks are of increasing research interest.
Understanding how network properties influence synchronization is crucial.

Purpose of the Study:

To investigate the system-size dependence of synchronizability in complex clustered networks.
To determine the trade-offs between network size, synchronizability, and clustered topology.

Main Methods:

Theoretical analysis of network properties.
Numerical computations to simulate network dynamics.
Examination of system-size effects on synchronizability and topology.

Main Results:

Synchronizability can be maintained or enhanced with increasing network size.
This enhancement comes at the cost of deteriorating the network's clustered characteristics.
A trade-off exists between maintaining clustered topology and achieving high synchronizability.

Conclusions:

For large networks where synchronization is functionally important, a clustered topology is unlikely.
The findings have implications for designing and understanding large-scale complex systems.
Network topology significantly impacts the potential for system-wide synchronization.