The Binary–Quantum Bridge for AGI: Information-Preserving Differentiable Programs with a Causal Objective
Abstract
We formalize a bridge between continuous learning and discrete execution. A unitary executor
evolves working registers while a diamond-norm binary boundary enforces classical exactness at
commit.
Keywords & Fields
Cite this work (BibTeX)
@article{deceuster2025_07-the-binaryquantum,
title = {The Binary–Quantum Bridge for AGI: Information-Preserving Differentiable Programs with a Causal Objective},
author = {De Ceuster, Peter},
year = {2025},
month = {10},
institution = {SIG Labs},
doi = {10.5281/zenodo.17490748},
url = {https://peterdeceuster.uk/papers/07-the-binaryquantum-bridge-for-agi-information-preserving-differentiable},
note = {Full text available at https://peterdeceuster.uk/articenter/work/AGI insight.pdf}
}