Cryptographic foundations via hyper-elliptic curve isomorphisms and tensor-product noise-learning. This toolkit maps high-dimensional vector spaces to secure manifolds, ensuring entropy persistence against sub-exponential time attacks. Pure algebraic structures for a future where classical complexity collapses.
algebraic-structures tensor-product noise-learning hyper-elliptic-curve secure-manifolds entropy-persistence sub-exponential-time cryptographic-foundations classical-complexity cryptographic-toolkit
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Updated
Feb 14, 2026 - Jupyter Notebook