Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.
-
Updated
Jul 24, 2026 - Python
Python toolkit for noise-resilient classification. Focuses on interactive tensor-network simulation, automated testing, and spin-network encodings.
Architecture informatique Post-Von Neumann exploitant la physique de la matière condensée. Convergence de la Frustration Géométrique (Ising), des Cristaux Temporels (Mémoire Quantique) et de la Skyrmionique (Logique Topologique).
Cadre théorique unifié et falsifiable explorant la frustration géométrique, les phases topologiques (Liquides de Spin de Kitaev) et la thermodynamique multifractale dans les milieux quasi-périodiques régis par le Nombre d'Or ($\phi$)
Full-space QuTiP simulations for Quantum Tide vortex stiffness, leakage suppression, Lindblad noise, and X-gate fidelity.
A curated collection of doctoral-level meta-analyses exploring the intersection of quantum computing, AI architectures, edge systems, and high-performance computational pipelines.
Add a description, image, and links to the topological-quantum-computing topic page so that developers can more easily learn about it.
To associate your repository with the topological-quantum-computing topic, visit your repo's landing page and select "manage topics."