KHAOS-CORE

Closed-loop BCI kernel with sub-100µs end-to-end latency at 1000 Hz.

High-performance CUDA DSP pipeline with compiler-enforced safety and post-quantum cryptography.

Key Results

• End-to-end latency < 100µs at 1000 Hz on 64-channel EEG
• Electrode-density-invariant 12-qubit quantum representation (4 or 64 channels → identical 240-element feature vector)
• Three independent safety layers: Python runtime, C++17 static_assert, and FPGA hardware watchdog (5 ms)
• SHA-256 chained forensic audit ledger on every state transition
• Post-quantum cryptography (CRYSTALS-Kyber-1024)

What it does

KHAOS-CORE is a real-time closed-loop BCI kernel designed with sovereignty and safety as hard architectural constraints. It processes EEG signals through a CUDA-accelerated DSP pipeline and extracts a compact quantum-inspired feature representation while enforcing strict safety limits at multiple layers.

Stack

• Languages: C++17, CUDA, Python
• Key Technologies: CUDA-Q, CMake, OpenSSL
• Target: RTX 40/50 series (sm_89+)

Safety Architecture

Safety is enforced at three independent layers:

1. Python runtime — bounds checking and stimulation gating
2. C++ compile-time — static_assert(STIM_ABSOLUTE_MAX_AMP <= 50.0f)
3. FPGA hardware — 5 ms watchdog timer (independent of software)

If any layer detects a violation, the system enters a safe state.

Build

git clone https://github.com/QuantumDrizzy/KHAOS.git
cd KHAOS
python3 scripts/gen_coefficients.py
cmake -B build -DCMAKE_BUILD_TYPE=Release -DETHICS_COMPLIANT=ON
cmake --build build --parallel

Run
Bash# Synthetic mode (no hardware required)
./build/khaos_mirror --dry-run

# Live with Muse 2
./build/khaos_mirror --stream "EEG"