Data Entropment Labs

Post-quantum projection tool. Noisy channel via IEEE-754 + Cayley–Dickson dynamics

~2% BER correct key, ~55% nearby keys

Offline. Deterministic. Structural irreversibility.

Not a cipher, no IND-CCA security, no key secrecy assumption, no randomness required, no semantics, no primitive.

Open code and exe file in releases;

Raw project notes for reproduction and research purposes - free in papers; implemented.

Hierarchical Metric Flow on Data Graphs

LLM front without magic. Read more in papers; currently under implementation.

QCO-NN Coprocessor & LLM ↔ QCO Interface

Path-centric governance, decision closure, structural suppression of hallucinations, C/E/U regimes, decoupling depth from decision cost.

QCO-NN operates as a cybernetic decision engine, not a traditional layered neural network.

It governs computation via paths (Π) rather than fixed edges or layers, using a hierarchical QCO-norm to weight deeper abstractions exponentially less.

Key properties:

Decision closure — asymptotic stabilization of the invariant functional I under admissible dynamics (vanishing ΔI_n and vanishing informational efficiency ΔI_n / K_n → 0)
C/E/U regimes — trichotomy of outcomes: Closure (C), Exploratory-admissible (E), Undecidable (U)
Structural hallucination suppression — no forced token continuation; output is the moment of stabilization or explicit undecidability
Decoupling depth from cost — arbitrary structural depth is possible (via loops and CD tower with adaptive K), but effective decision cost remains adaptive and bounded by active components under the norm;

Interface model:

LLM acts as semantic I/O processor (parsing, context, formatting)
QCO acts as deterministic geometric / decisional coprocessor

Pipeline: Φ(q_text) → Ψ(q_struct) → Γ(s_dec)
where s_dec ∈ {C, E, U}

Raw project notes for reproduction and research purposes - free in papers; not implemented yet.

Technical Optimizations

When and why to pack tensors into algebras (CD / Clifford / Lie) instead of using dense GEMM.

Raw project notes for reproduction and research purposes - free in papers; implemented.

Notes are provided as-is for verification, numerical experiments.

They do not constitute production-ready documentation, tutorials, or drop-in libraries.

Direct production use without significant adaptation and validation is not recommended.

Commercial & Professional Services

We offer:

Commercial software licensing
System integration and deployment
Consulting and architecture design
Custom algorithm development