Tootfinder

Spatial Regionalization: A Hybrid Quantum Computing Approach
Yunhan Chang, Amr Magdy, Federico M. Spedalieri, Ibrahim Sabek
https://arxiv.org/abs/2506.18799

Spatial Regionalization: A Hybrid Quantum Computing Approach
Quantum computing has shown significant potential to address complex optimization problems; however, its application remains confined to specific problems at limited scales. Spatial regionalization remains largely unexplored in quantum computing due to its complexity and large number of variables. In this paper, we introduce the first hybrid quantum-classical method to spatial regionalization by decomposing the problem into manageable subproblems, leveraging the strengths of both classical and …

Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides
Thomas Robiglio, Martina Contisciani, M\'arton Karsai, Tiago P. Peixoto
https://arxiv.org/abs/2507.11503

Multiscale patterns of migration flows in Austria: regionalization, administrative barriers, and urban-rural divides
Migration is central in various societal problems related to socioeconomic development. While much of the existing research has focused on international migration, migration patterns within a single country remain relatively unexplored. In this work we study internal migration patterns in Austria for a period of over 20 years, obtained from open and high-granularity administrative records. We employ inferential network methods to characterize the flows between municipalities and extract their c…