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- Update LICENSE to proprietary (NOT for commercial resale) - Add/enhance README with BlackRoad branding - Add copyright notice (© 2026 BlackRoad OS, Inc.) - Add CONTRIBUTING.md with brand compliance guidelines - Add GitHub Actions workflow with brand checks - CEO: Alexa Amundson - Designed for 30k agents + 30k employees - Part of 578-repo BlackRoad Empire Core Product: API layer above Google/OpenAI/Anthropic managing AI model memory and continuity, enabling companies to operate exclusively by AI. ✨ Repository now enterprise-grade and legally protected 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
95 lines
2.7 KiB
Markdown
95 lines
2.7 KiB
Markdown
> ⚗️ **Research Repository**
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>
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> This is an experimental/research repository. Code here is exploratory and not production-ready.
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> For production systems, see [BlackRoad-OS](https://github.com/BlackRoad-OS).
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---
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# Quantum Math Lab
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Quantum Math Lab pairs a lightweight quantum circuit simulator with concise
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summaries of landmark unsolved problems in mathematics. The project is designed
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for experimentation and self-study: you can build and inspect quantum states in
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pure Python while browsing short descriptions of famous conjectures.
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## Features
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- **State-vector simulator** implemented in [`quantum_simulator.py`](quantum_simulator.py)
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with Hadamard, Pauli-X and controlled-NOT gates, custom unitaries and
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measurement utilities.
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- **Problem compendium** in [`problems.md`](problems.md) covering ten influential
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open problems such as the Riemann Hypothesis, P vs NP and the Navier–Stokes
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regularity question.
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- **Automated tests** demonstrating the simulator’s behaviour, built with
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`pytest`.
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## Getting started
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1. **Install dependencies**
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```bash
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python -m venv .venv
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source .venv/bin/activate
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pip install -r requirements.txt # see below if the file is absent
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```
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If a `requirements.txt` file is not present, simply install NumPy and pytest:
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```bash
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pip install numpy pytest
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```
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2. **Experiment with the simulator**
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```python
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from quantum_simulator import QuantumCircuit
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circuit = QuantumCircuit(2)
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circuit.hadamard(0)
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circuit.cnot(0, 1)
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print(circuit.probabilities()) # {'00': 0.5, '11': 0.5}
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result = circuit.measure(rng=np.random.default_rng())
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print(result.counts)
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```
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3. **Review the unsolved problems** by opening [`problems.md`](problems.md) for
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high-level summaries and references.
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## Running the tests
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Use `pytest` to execute the simulator tests:
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```bash
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pytest
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```
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The test suite verifies single-qubit gates, entanglement via the controlled-NOT
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operation and measurement statistics.
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## Disclaimer
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This project does not attempt to solve the problems listed in `problems.md` and
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is not a substitute for full-featured quantum computing frameworks such as
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[Qiskit](https://qiskit.org/) or [Cirq](https://quantumai.google/cirq). It is an
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educational sandbox for experimenting with qubit states and learning about open
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questions in mathematics.
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---
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## 📜 License & Copyright
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**Copyright © 2026 BlackRoad OS, Inc. All Rights Reserved.**
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**CEO:** Alexa Amundson | **PROPRIETARY AND CONFIDENTIAL**
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This software is NOT for commercial resale. Testing purposes only.
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### 🏢 Enterprise Scale:
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- 30,000 AI Agents
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- 30,000 Human Employees
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- CEO: Alexa Amundson
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**Contact:** blackroad.systems@gmail.com
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See [LICENSE](LICENSE) for complete terms.
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