๐ค AI Summary
This work addresses the challenges of trustworthy data provenance, cross-organizational governance, and incentive-compatible sharing in embodied-AI-driven cyber-physical-social systems, alongside the emerging threat posed by quantum computing to current cryptographic infrastructures. To this end, we propose a post-quantum blockchain infrastructure tailored for the era of embodied intelligence. By integrating post-quantum cryptographic migration strategies, the BrokerChain cross-shard protocol, the Croissant metadata standard, and a robot learningโbased provenance mechanism, we construct a unified framework that is cryptographically agile, cross-chain interoperable, and supports multimodal cloud deployment. This framework uniquely bridges the gap between near-term quantum hardware realities and the data requirements of embodied AI. Validated on the AWS Braket platform, our approach yields an open-source implementation and a practical roadmap, offering a secure, trustworthy, and scalable foundation for next-generation decentralized intelligent environments.
๐ Abstract
The deployment of embodied artificial intelligence via world-model-based robotics presents a transformative opportunity for blockchain infrastructure, establishing urgent demand for trustworthy data provenance, cross-organizational governance, and incentive-compatible sharing across decentralized ecosystems. Simultaneously, quantum computing advances recognized by the 2025 Nobel Prize in Physics and the Turing Award threaten the cryptographic primitives securing these data economies, creating an interdependent imperative: long-lived verification for embodied AI depends on crypto-agile architectures capable of withstanding quantum adversaries. This tutorial examines blockchain as the coordination layer bridging this dual transition, from financial substrate to foundational Cyber-Physical-Social Systems infrastructure that simultaneously secures against quantum cryptanalysis and enables scalable, trustworthy data economies. The session opens with an immersive AWS Braket demonstration engaging participants with superconducting, trapped-ion, and neutral-atom hardware to assess cryptographic threat timelines and witness ECDSA-to-post-quantum signature transitions. Five integrated modules progress from embodied AI and world-model requirements through quantum hardware reality and evidence-based security migration, to scalable cross-shard architectures via BrokerChain protocols, trustworthy data economies implementing Croissant metadata standards and robotic learning provenance, and industry ecosystem integration for multi-modal cloud deployment. By bridging quantum hardware realities with embodied AI data requirements, this tutorial charts blockchain as unified infrastructure for next-generation decentralized intelligent environments, providing open-source frameworks and roadmaps for architecting quantum-resistant, interoperable, and data-trustworthy systems.