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#diffusion models Open access Oct 2026

STIGMERGIC SWARM MANUFACTURING UNDER QUANTUM MEASUREMENT UNCERTAINTY AT THE LIMIT A Research Architecture for Local Trace Coordination, Uncertainty-Aware Manufacturing, Reference Integrity, and Recoverable Collective Control

STIGMERGIC SWARM MANUFACTURING UNDER QUANTUM MEASUREMENT UNCERTAINTY AT THE LIMIT A Research Architecture for Local Trace Coordination, Uncertainty-Aware Manufacturing, Reference Integrity, and Recoverable Collective Control Research Series: Nano–Quantum Tri-Coupling — Flagship 08Author / Research Imprint: Feng Cheng-e...

33 · 0 citations
#artificial intelligence Open access Oct 2026

In-Situ Quantum Metrology for Swarm Nano-Fabrication Quality Assurance at the Limit This exploratory research monograph investigates whether quantum-enabled and classical in-situ measurements can improve the physical verification of nano-fabricated products and multi-agent assembly processes. The proposed three-coupling is In-Situ Signal × Defect Localization × Independent Acceptance. Its central question is not whether a sensor or artificial-intelligence model can generate a persuasive quality score, but whether an independently verifiable instrument chain can correctly detect, localize, and adjudicate real defects during manufacture, at acceptable cost, uncertainty, latency, and risk.

In-Situ Quantum Metrology for Swarm Nano-Fabrication Quality Assurance at the Limit This exploratory research monograph investigates whether quantum-enabled and classical in-situ measurements can improve the physical verification of nano-fabricated products and multi-agent assembly processes. The proposed three-couplin...

33 · 0 citations
#artificial intelligence Open access Oct 2026

AI CLOSED-LOOP QUANTUM-NANO FABRICATION AND VERIFICATION AT THE LIMIT Physical Observation × Bounded Decision × Verified Closure This research monograph develops an exploratory engineering architecture for the use of artificial intelligence in nanofabrication workflows where physical evidence, authorization, quality verification, and recovery must remain distinct. Its fundamental claim is modest but consequential: a model-generated recipe proposal should not become an executable manufacturing instruction merely because an optimization objective improved. Every proposed intervention requires a declared physical operating domain, a traceable observation chain, explicit authority, resource and risk bounds, independent verification, and a recoverable failure pathway.

AI CLOSED-LOOP QUANTUM-NANO FABRICATION AND VERIFICATION AT THE LIMITPhysical Observation × Bounded Decision × Verified Closure This research monograph develops an exploratory engineering architecture for the use of artificial intelligence in nanofabrication workflows where physical evidence, authorization, quality ver...

33 · 0 citations

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