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Quantum computing and NFT urbanism

Decentralizing spatial justice in the digital age

Bibliographic Data

ID11670232
AuthorsEhsan Dorostkar (0000-0003-2090-7059, University of Tehran, corresponding author), Keramatollah Ziari (0000-0001-9135-4768, University of Tehran)
Year2026
Volume47
Issue6
Pages1-7
Publication date2026-02-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueUrban Geography (JOURNAL)
Journal identifiersISSN: 0272-3638 • E-ISSN: 1938-2847
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/02723638.2026.2615963
OpenAlexW7127361763
LanguageEN
References cited23

The intersection of quantum computing and NFTs consolidates computational capitalism's hold on urban space, threatening data-colonial entrenchment. Though liberatory hypothetical applications can be envisioned, prevailing technical designs and ownership structures (e.g. Big Tech-dominated quantum cloud services/NFT markets) default towards entrenching spatial hierarchies. This commentary discusses how such technologies could democratize urban space or deepen digital divides. Quantum algorithms promise optimized city planning, yet their black-box decision-making risks consolidating systemic biases. NFT-based land systems offer decentralized ownership structures but could accelerate speculative urbanism. We clarify how their intersection creates novel power infrastructures capable of cementing spatial hierarchies and leaving room for communal resistance. The discussion teases the imperative need for regulation for transparency and public accountability on such hybrid physical-digital systems. As urban areas transform, the central challenge is to steer quantum-NFT applications towards an equitable urban future, rather than allowing them to serve as forces of computational capitalism. The article demands that these technologies be recast in the framework of spatial justice to reassert the right to the digital city.

Economic Justice · Field (mathematics · Quantum · Quantum computer · Social justice · E-Government and Public Services · Smart Cities and Technologies · University-Industry-Government Innovation Models

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Citation velocityhistorical
Highly citedNo

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