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dontelightfoot/amyloid-beta-42-quantum-prototype
amyloid-beta-42-quantum-prototype is a machine learning model from dontelightfoot. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Author: Donte Lightfoot Org: Locked In Safety STL Inc Support: [email protected] License: MIT
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Updated Aug 5, 2026
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From the Hugging Face model README
Author: Donte Lightfoot
Org: Locked In Safety STL Inc
Support: [email protected]
License: MIT
A reproducible 4-qubit / 4-site truncated Amyloid β-42–labeled quantum simulation package:
| Artifact | Description |
|---|---|
Amyloid_beta-42_statevector.npy | 16-amplitude statevector |
Amyloid_beta-42_samples.csv | 4096 shot outcomes |
Amyloid_beta-42_circuit.txt | Full circuit diagram (70,018 bytes) |
Amyloid_beta-42_circuit.json | Structured moments (674) |
Amyloid_beta-42_qubit_hamiltonian.txt | Pauli Hamiltonian |
Amyloid_beta-42_amino_features.csv | A,E,F,K site features |
full_spectrum_analysis/ | Charts + tables |
Amyloid_beta42_full_spectrum_evidence_analysis.pdf | Evidence PDF |
Amyloid_beta42_full_spectrum_dashboard.html | Dashboard |
symbolic_recursion/models/amyloid_beta.py | Runnable model (on full stack repo) |
Circuit SHA-256: 623e87ec870bddd0fe38e9e7adb8121963382e369f18f7d6b17b41cde09a5137
| Check | Result |
|---|---|
| Core file hashes | 10/10 match |
| State energy | ≈ −0.220822 (matches analysis) |
| TVD (bit-reversed samples vs |ψ|²) | ≈ 0.02884 (matches analysis) |
| Spectrum | min ≈ −2.1907, max ≈ 1.0606 |
| Gate counts (analysis) | Rz 336 · CNOT 288 · H 196 · Rx 192 |
Prefer the full stack (model class + embedded circuit):
git clone https://github.com/STLNFTART/symbolic-recursion-coherence
cd symbolic-recursion-coherence
pip install -e .
from symbolic_recursion.models.amyloid_beta import AmyloidBeta42Model, verify_package_integrity
assert verify_package_integrity()["all_core_match"] is True
m = AmyloidBeta42Model()
result = m.run()
print(result["status"], result["state_energy"], result["spectrum"])
print("moments", m.circuit_moments)
# Full circuit text lives ON the model:
print(len(m.full_circuit), m.circuit_sha256)
This Hub folder holds the raw peer-review package files so reviewers can download npy/csv/circuit/PDF without cloning the whole monorepo.
Full stack model card:
https://huggingface.co/dontelightfoot/symbolic-recursion-coherence
GitHub:
https://github.com/STLNFTART/symbolic-recursion-coherence
[email protected] · Locked In Safety STL Inc