
The Binary–Quantum Bridge (BQB) is a mathematical framework for analyzing a dual objective in AGI design: maintain differentiable, information-preserving learning dynamics while guaranteeing classical, auditable behavior at decision commit. It is not an engineering blueprint. We recommend archiving this work and deferring any real-world development until (i) interpretability benchmarks, (ii) incident response and containment, and (iii) externally auditable objective governance are established and independently verified. Addressed to Suriya Gunasekar, Microsoft.
AI, Quantum Theory/history, AGI
AI, Quantum Theory/history, AGI
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