Community Detection Across Emerging Quantum Architectures
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Ilya Safro, Susan, Mniszewski, Yuri Alexeev

TL;DR
This paper advocates for portable, architecture-agnostic hybrid quantum-classical frameworks for community detection, demonstrating their application across evolving quantum hardware using annealing and gate-based paradigms.
Contribution
It introduces a novel hybrid quantum-classical framework for community detection that is adaptable to different quantum architectures.
Findings
Framework successfully applied to community detection tasks.
Demonstrated compatibility with quantum annealing and gate-based systems.
Supports integration of quantum accelerators in HPC ecosystems.
Abstract
One of the roadmap plans for quantum computers is an integration within HPC ecosystems assigning them a role of accelerators for a variety of computationally hard tasks. However, in the near term, quantum hardware will be in a constant state of change. Heading towards solving real-world problems, we advocate development of portable, architecture-agnostic hybrid quantum-classical frameworks and demonstrate one for the community detection problem evaluated using quantum annealing and gate-based universal quantum computation paradigms.
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Taxonomy
TopicsComplex Network Analysis Techniques · Quantum Computing Algorithms and Architecture · Quantum-Dot Cellular Automata
