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qft

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QML Benchmarks is a research-driven repository implementing and benchmarking fundamental quantum algorithms and quantum machine learning models including QCNN, QFT, Grover, Shor, HHL, VQE, and QAOA. The project analyzes algorithm scalability, optimization behavior, and robustness under realistic NISQ noise simulations through structured experiments

  • Updated Mar 14, 2026

Quantum Field Theory security framework using Feynman diagrams for dynamic ISO management. Implements physics-based isolation where attacks cause decoherence, not direct compromise. Three-state architecture: Closed (Ụzọ Mechiri), Open (Ụzọ Mepere), Protected (Ụzọ Nchekwa). When quantum systems fail, build your own.

  • Updated Sep 7, 2025

A modular quantum computing library in Python featuring QAOA, Grover, HHL, and VQC — built on Qiskit, with future plans to become a QPU-agnostic, from-scratch quantum SDK.

  • Updated Mar 11, 2025
  • Python

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