T8CX-ZRQD v11.0: Fractal, Holographic, and Self-Learning Topological Codes — Scaling QEC from 2D Lattices to 4D Hyperfractals

MOBIDUR, MAHI DEEPSEEK LAB

DOI: 10.5281/zenodo.24026661
Published: 2026
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Publisher: Zenodo
Open access: yes

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BibTeX

@article{allodium:10.5281/zenodo.24026661,
  title = {T8CX-ZRQD v11.0: Fractal, Holographic, and Self-Learning Topological Codes — Scaling QEC from 2D Lattices to 4D Hyperfractals},
  author = {MOBIDUR and MAHI DEEPSEEK LAB},
  year = {2026},
  doi = {10.5281/zenodo.24026661},
  url = {https://doi.org/10.5281/zenodo.24026661}
}

RIS

TY  - JOUR
TI  - T8CX-ZRQD v11.0: Fractal, Holographic, and Self-Learning Topological Codes — Scaling QEC from 2D Lattices to 4D Hyperfractals
AU  - MOBIDUR
AU  - MAHI DEEPSEEK LAB
PY  - 2026
DO  - 10.5281/zenodo.24026661
UR  - https://doi.org/10.5281/zenodo.24026661
ER  -

APA

MOBIDUR, & LAB, M. D. (2026). T8CX-ZRQD v11.0: Fractal, Holographic, and Self-Learning Topological Codes — Scaling QEC from 2D Lattices to 4D Hyperfractals. https://doi.org/10.5281/zenodo.24026661

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datacite · retrieved 2026-11-10T09:12:48.525Z