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Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2025
License: CC BY
Data sources: Datacite
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The Binary–Quantum Bridge for AGI: Information-Preserving Differentiable Programs with a Causal Objective

Authors: de ceuster, peter;

The Binary–Quantum Bridge for AGI: Information-Preserving Differentiable Programs with a Causal Objective

Abstract

 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.

Keywords

AI, Quantum Theory/history, AGI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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