Blockchain Infrastructure for Intelligent Cyber-Physical-Social Systems
Post-Quantum Security · Interoperability · Trustworthy Data Economies in the Era of Embodied AI
IEEE ICBC 2026 Tutorial
IEEE Communications Society
QUT Gardens Theatre · Brisbane, Australia · 1–5 June 2026
About This Tutorial
A Convergence of Three Transformative Transitions
QBE paradigm unifies three urgent infrastructure imperatives: quantum-resistant cryptography, scalable cross-shard coordination, and incentive-compatible data governance — all converging on blockchain as the foundational coordination layer for next-generation Cyber-Physical-Social Systems.
Why Now
The Dual Transition Creating an Infrastructure Imperative
Quantum Threat
Advances recognized by the 2025 Nobel Prize in Physics and the Turing Award now put classical public-key cryptography — signatures, identity, consensus — at credible long-term risk.
Embodied AI Demand
World-model robotic systems operating in open environments generate massive interaction data that requires trustworthy provenance, cross-organizational governance, and incentive-compatible sharing.
Blockchain's Role
Blockchain must evolve beyond financial substrate into a unified CPSS coordination layer — resisting quantum cryptanalysis while enabling scalable, trustworthy data economies.
Tutorial Structure
Five Integrated Modules + Live Demo
Demo Launch
Open AWS Braket quantum threat baseline
M1 · World Models
Embodied AI and simulated environments
M2 · Hardware Risk
Assess quantum hardware security threats
M3 · BrokerChain
Design scalable cross-shard architecture
M4 · Data Economies
Trustworthy governance and incentive design
M5 · Industry Integration
From theory to production deployment
Each module transitions logically into the next — from empirical quantum security assessment through scalable cross-shard coordination to production-ready governance — forming a cohesive pipeline for CPSS infrastructure design. Duration: 2 hours, closing with an integrated panel synthesis.
Module 1 · Song Guo
Embodied AI and World Models
Key Focus Areas
  • IRASim: A fine-grained world model for robot manipulation, enabling simulation of complex interaction trajectories at ICCV 2025
  • Edge-distributed robotic systems operating in unpredictable open-world environments
  • Massive multimodal interaction data requiring trustworthy provenance and incentive-compatible sharing
  • Defines the target infrastructure that subsequent modules must secure and scale
Infrastructure Requirements
Embodied AI systems require long-lived verification, interoperable coordination across heterogeneous platforms, and incentive-compatible data-sharing mechanisms — all of which depend on crypto-agile blockchain architectures.
Opening Demo + Module 2 · Dongping Liu & Aoyu Zhang
Quantum Hardware: Live on AWS Braket
The tutorial opens with an immersive live demonstration on Amazon Braket, empirically engaging participants with all three leading quantum hardware modalities.
  • Empirical assessment of ECDSA vulnerability timelines across hardware classes
  • Witnessed signature transition: ECDSA → post-quantum schemes (NIST PQC standards)
  • Evidence-based migration strategy grounded in real hardware benchmarks
  • Hybrid quantum-classical algorithms and cross-domain blockchain security applications

Keynote delivered at the 2025 Forum on Cloud Quantum Computing Services for Blockchain Security.
Module 3 · Huawei Huang
Scalable Architecture and Interoperability via BrokerChain
BrokerChain Protocol
Cross-shard blockchain protocol for account/balance-based state sharding, published at IEEE INFOCOM 2022 and extended in IEEE Transactions on Networking (2025). Academic Testnet launched June 2025.
GriDB Scaling
Scales blockchain databases via sharding and off-chain cross-shard mechanisms, published in VLDB 2023. Provides the data-layer foundation for high-throughput CPSS deployments.
BlockEmulator Platform
Open-source experimental blockchain platform supporting researchers in 90+ countries, enabling reproducible cross-shard protocol evaluation and bridge security analysis.
Module 4 · Luyao Zhang
Trustworthy Data Economies
This module implements the governance layer atop BrokerChain's scalable foundation:
  • Croissant metadata standard (NeurIPS 2024) for ML-ready dataset provenance
  • Blockchain provenance for Ethereum Beacon Chain rewards and Uniswap transaction indices (Scientific Data, 2025)
  • Proof-of-Stake incentive redesign via reinforcement learning and mechanism design
  • Security analysis of cross-ledger interoperability (IEEE S&P 2024 SoK)
Module 5 · Dongping Liu
Industry Ecosystem Integration: From Theory to Production
Multimodal Cloud Deployment
AWS-based infrastructure for deploying embodied AI datasets at scale, bridging academic research with enterprise-grade HPC and AI workloads.
LET & Kuavo Datasets
Real-world robotic learning datasets (LejuRobotics LET Dataset; ICRA Kuavo Data Challenge) operationalized as production-ready CPSS data pipelines.
End-to-End Governance
Completes the pipeline: quantum-resistant security → scalable coordination → trustworthy provenance → production deployment for next-generation CPSS.
Tutorial Speakers
An Interdisciplinary Team Across Blockchain, AI, Quantum, and Economics
Song Guo
Chair Professor, HKUST. IEEE Fellow, ACM Distinguished Member. Editor-in-Chief, IEEE Transactions on Cloud Computing. Edward J. McCuskey Award (2024).
Huawei Huang
Professor, Sun Yat-sen University. IEEE Senior Member. Stanford Top 2% Scientists (2021–). Lead developer of BrokerChain and BlockEmulator. 9,000+ citations.
Dongping Liu
CEO, Tenorshare; former AWS Senior BDM. Ph.D. Physics, CAS. 15 years bridging academic research with cloud AI/HPC deployments. Beijing Science & Technology Award (First Prize).
Aoyu Zhang
Senior Applied Scientist, AWS China. Specializes in quantum cloud solutions, hybrid quantum-classical algorithms, and blockchain security applications. Keynote speaker at the 2025 Forum on Cloud Quantum Computing Services for Blockchain Security. Led the AWS Braket integration for quantum hardware benchmarking across superconducting, trapped-ion, and neutral-atom platforms.
Luyao Zhang
Assistant Professor of Economics and Senior Research Scientist at the Digital Innovation Research Center, Duke Kunshan University. Publications in ReStat, IEEE S&P, ACM CCS, NeurIPS, and Nature Scientific Data. NSF-funded researcher and Secretary of the IEEE P3469 Working Group on Blockchain-based Digital Asset Management. Research spans mechanism design, trustworthy data economies, blockchain provenance, and open-science infrastructure for AI datasets.
IEEE ICBC 2026
Register & Join Us at the 8th IEEE International Conference on Blockchain and Cryptocurrency
Conference Details
IEEE ICBC 2026 is the 8th edition of the premier IEEE venue for blockchain and cryptocurrency research, sponsored by the IEEE Communications Society.
This tutorial is designed for researchers, engineers, and policy-makers working at the intersection of blockchain, AI, quantum computing, and cybersecurity.
What You Will Take Away
  • Open-source experimental frameworks (BlockEmulator, AWS Braket notebooks)
  • Actionable roadmaps for quantum-resistant, interoperable CPSS infrastructure
  • Hands-on experience with superconducting, trapped-ion, and neutral-atom quantum hardware
  • A unified perspective on post-quantum security, scalable sharding, and trustworthy data economies

All participants receive open-source code and experimental frameworks developed by the tutorial team.