quantum math lab

Part of BlackRoad OS — Sovereign Computing for Everyone

quantum math lab is part of the BlackRoad OS ecosystem — a sovereign, distributed operating system built on edge computing, local AI, and mesh networking by BlackRoad OS, Inc.

About BlackRoad OS

BlackRoad OS is a sovereign computing platform that runs AI locally on your own hardware. No cloud dependencies. No API keys. No surveillance. Built by BlackRoad OS, Inc., a Delaware C-Corp founded in 2025.

Key Features

• Local AI — Run LLMs on Raspberry Pi, Hailo-8, and commodity hardware
• Mesh Networking — WireGuard VPN, NATS pub/sub, peer-to-peer communication
• Edge Computing — 52 TOPS of AI acceleration across a Pi fleet
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• Zero Cloud Dependencies — Your data stays on your hardware

The BlackRoad Ecosystem

Organization	Focus
BlackRoad OS	Core platform and applications
BlackRoad OS, Inc.	Corporate and enterprise
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BlackRoad Forge	Developer tools and utilities

Links

• Website: blackroad.io
• Documentation: docs.blackroad.io
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⚗️ Research Repository

This is an experimental/research repository. Code here is exploratory and not production-ready. For production systems, see BlackRoad-OS.

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Quantum Math Lab

Quantum Math Lab pairs a lightweight quantum circuit simulator with concise summaries of landmark unsolved problems in mathematics. The project is designed for experimentation and self-study: you can build and inspect quantum states in pure Python while browsing short descriptions of famous conjectures.

Features

• State-vector simulator implemented in quantum_simulator.py with Hadamard, Pauli-X and controlled-NOT gates, custom unitaries and measurement utilities.
• Problem compendium in problems.md covering ten influential open problems such as the Riemann Hypothesis, P vs NP and the Navier–Stokes regularity question.
• Automated tests demonstrating the simulator’s behaviour, built with pytest.

Getting started

1. Install dependencies

   python -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt  # see below if the file is absent

   If a requirements.txt file is not present, simply install NumPy and pytest:

   pip install numpy pytest

2. Experiment with the simulator

   from quantum_simulator import QuantumCircuit
   
   circuit = QuantumCircuit(2)
   circuit.hadamard(0)
   circuit.cnot(0, 1)
   print(circuit.probabilities())  # {'00': 0.5, '11': 0.5}
   result = circuit.measure(rng=np.random.default_rng())
   print(result.counts)

3. Review the unsolved problems by opening problems.md for high-level summaries and references.

Running the tests

Use pytest to execute the simulator tests:

pytest

The test suite verifies single-qubit gates, entanglement via the controlled-NOT operation and measurement statistics.

Disclaimer

This project does not attempt to solve the problems listed in problems.md and is not a substitute for full-featured quantum computing frameworks such as Qiskit or Cirq. It is an educational sandbox for experimenting with qubit states and learning about open questions in mathematics.

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📜 License & Copyright

Copyright © 2026 BlackRoad OS, Inc. All Rights Reserved.

CEO: Alexa Amundson | PROPRIETARY AND CONFIDENTIAL

This software is NOT for commercial resale. Testing purposes only.

🏢 Enterprise Scale:

• 30,000 AI Agents
• 30,000 Human Employees
• CEO: Alexa Amundson

Contact: blackroad.systems@gmail.com

See LICENSE for complete terms.