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Native AI Quantum Energy Lab
Proprietary -- Copyright (c) 2025 BlackRoad OS, Inc. All rights reserved. See LICENSE.
Quantum circuit simulator, energy/particle simulations, and explorations of unsolved mathematical problems. Pure Python — no external dependencies.
Modules
Quantum Simulator
State-vector quantum circuit simulator supporting single-qubit gates (H, X, Y, Z, S, T, Rx, Ry, Rz), controlled operations (CNOT, CZ), custom statevector initialization, and partial measurement.
from native_ai_quantum_energy.quantum_simulator import QuantumCircuit
import math
qc = QuantumCircuit(2)
qc.apply_hadamard(0)
qc.apply_ry(1, math.pi / 4)
qc.apply_cz(0, 1)
result = qc.measure_subset([0])
print("Measured:", result)
print("Statevector:", qc.statevector())
Energy Simulator
Models for energy generation, battery discharge, and elastic particle collisions.
from native_ai_quantum_energy.energy_simulator import solar_panel_output, battery_discharge
# 100W panel, 5 hours, 15% efficiency
energy = solar_panel_output(100, 5, 0.15)
# 2000mAh battery, 500mA load, 3 hours
remaining = battery_discharge(2000, 500, 3)
Unsolved Problems
problems.md — summaries of 10 open mathematical problems including all Clay Millennium Prize problems (Riemann Hypothesis, P vs NP, etc.).
Requirements
Python 3.8+ (stdlib only).
Tests
pip install pytest
pytest
Project Structure
native_ai_quantum_energy/
quantum_simulator.py # State-vector circuit simulator
energy_simulator.py # Energy and particle models
__init__.py
tests/
test_quantum_simulator.py
test_energy_simulator.py
conftest.py
problems.md # 10 unsolved math problems
License
Copyright 2026 BlackRoad OS, Inc. All rights reserved.