This repo contains CUDA-Q Academic materials, including self-paced Jupyter notebook modules for building and optimizing hybrid quantum-classical algorithms using CUDA-Q.

Prototype hybrid classical-quantum workflow aligned with NVIDIA quantum-GPU news. Includes a policy gate for AI safety and security, uses a Qiskit simulator backend, emits JSON for audit, and can be extended to CUDA-Q or neutral-atom or photonic hardware.

OpenQASM VS Code Extension

Minicurso de quantum Machine learning

Quantum Measurement–Driven Security Lab (QKD + ODMR + QML)

CUDA-Q Experiments

Quantum portfolio optimisation: NVIDIA Ising + CUDA-Q + Claude AI. 373x GPU speedup · +3.1% vs classical · 1.4M× sampling efficiency · QPU validated on Rigetti Cepheus-1-108Q.

Rust-native quantum compilation stack with CUDA-Q, IQM, IBM Quantum & QDMI backends. Deep framework interop with Qiskit, Cirq, Qrisp & PennyLane. First-class SLURM/PBS and European HPC support.

Quantum Mirror BCI Kernel: Real-time EEG processing via CUDA and mapping to quantum circuits (CUDA-Q). Enforces "Ethics by Design" at the compiler level, features post-quantum cryptography (Kyber-1024), and a Sovereignty Monitor with SHA-256 audit logs. Built for high-fidelity cognitive sintonization and neurorights enforcement.