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This repository contains Python functions implementing the Hoffman algorithm for decomposing elements of SO(N), and functions applying this algorithm to decompose any element of the matchgate group into nearest-neighbor matchgates. See README for more information and a list of references on the Hoffman decomposition and the matchgate group.
Autonomous AI systems are scaling faster than the security infrastructure needed to protect them wholly; identity, verifiable authenticity, and inter- & intra-communication logs, remain dangerously fragile. The MARK-B.L.U. introduces the world's first practical, cyber-physical implementable quantum-native hashing architecture for AI agent identity.