Complex Networks from Classical to Quantum
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Abstract (arXiv)
Recent progress in applying complex network theory to problems in quantum information has resulted in a beneficial crossover. Complex network methods have successfully been applied to transport and entanglement models while information physics is setting the stage for a theory of complex systems with quantum information-inspired methods. Novel quantum induced effects have been predicted in random graphs---where edges represent entangled links---and quantum computer algorithms have been proposed to offer enhancement for several network problems. Here we review the results at the cutting edge, pinpointing the similarities and the differences found at the intersection of these two fields.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Feb 2017.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 0; 2025: 0; 2026: 1.
4 papers.
- 2021MGC: A Complex-Valued Graph Convolutional Network for Directed Graphscited by 7
- 2023Structural Balance and Random Walks on Complex Networks with Complex Weightscited by 3
- 2023Energy-dependent barren plateau in bosonic variational quantum circuitscited by 1
- 2026Cross-Backend QIEO: Universal Runtime Portability across OpenMP5, CUDA, HIP, and Multi-Language Interfacescited by 0
- 2026Cross-Backend QIEO: Universal Runtime Portability across OpenMP5, CUDA, HIP, and Multi-Language Interfaces25 Sep 2026
- 2023Structural Balance and Random Walks on Complex Networks with Complex Weights4 Jul 2023
- 2023Energy-dependent barren plateau in bosonic variational quantum circuits2 May 2023
- 2021MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs14 Oct 2021