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Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security

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arXiv:2606.24942v1 Announce Type: new Abstract: Proof-of-Work blockchains secure consensus through hash puzzles, producing no external value. In this research, we propose a decentralized AI economy where nodes are rewarded for useful machine-learning work, i.e., inference and training, instead of ineffective hashing method. Our proposed three-layer architecture separates compute, validation, and economic coordination. We formalize it via a $(\theta_c, \theta_w, W)$-closed-loop token economy and

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Computer Science > Cryptography and Security [Submitted on 22 Jun 2026] Quantum-Resilient Decentralized AI Economies: Proof-of-Useful-Work and Post-Quantum Security Connor Barbaccia, Sudip Vhaduri, Sayanton Dibbo Proof-of-Work blockchains secure consensus through hash puzzles, producing no external value. In this research, we propose a decentralized AI economy where nodes are rewarded for useful machine-learning work, i.e., inference and training, instead of ineffective hashing method. Our proposed three-layer architecture separates compute, validation, and economic coordination. We formalize it via a (\theta_c, \theta_w, W)-closed-loop token economy and derive a sufficient-stake condition for honest participation. While existing Grover's algorithm provides only a quadratic speedup against hash puzzles, it does not accelerate ML-native linear algebra. On the other hand, Shor's algorithm threatens classical blockchain signatures. Post-quantum migration to lattice-based and hash-based standards can address the signature layer. Therefore, useful-work consensus thus offers both economic and quantum-security advantages over classical proof-of-work. Comments: 15 pages, 4 figures, 4 tables Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2606.24942 [cs.CR] (or arXiv:2606.24942v1 [cs.CR] for this version) https://doi.org/10.48550/arXiv.2606.24942 Focus to learn more Submission history From: Connor Barbaccia [view email] [v1] Mon, 22 Jun 2026 20:50:05 UTC (117 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev | next > new | recent | 2026-06 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)

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