Metadata-Version: 2.4
Name: quantum-docker-engine
Version: 1.0.1
Summary: Revolutionary container orchestration engine powered by quantum computing
Home-page: https://github.com/quantum-docker/engine
Author: Quantum Docker Team
Author-email: contact@quantumdocker.io
Keywords: quantum computing,container orchestration,docker,kubernetes,quantum algorithms
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: System :: Distributed Computing
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
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# Quantum Docker Engine

A revolutionary container orchestration engine that leverages quantum computing principles to optimize container scheduling, resource allocation, and inter-container communication.

## Features

- **Quantum Superposition**: Containers exist in multiple states simultaneously until measured
- **Quantum Entanglement**: Correlated container placement and instant communication
- **Quantum Load Balancing**: Optimal resource allocation using quantum algorithms
- **Quantum Networking**: Secure communication through quantum channels
- **Quantum Gates**: Fine-tune container behavior with quantum operations
- **Real-time Rebalancing**: Dynamic optimization based on quantum measurements

## How It Works

The Quantum Docker Engine applies quantum mechanical principles to container orchestration:

1. **Superposition**: Containers are created in quantum superposition, exploring multiple deployment states
2. **Entanglement**: Related containers are quantum entangled for correlated scheduling decisions
3. **Measurement**: Quantum measurement collapses container states to optimal configurations
4. **Interference**: Quantum interference patterns guide load balancing decisions
5. **Decoherence**: System maintains quantum coherence while preventing unwanted state collapse

## 🚀 Quick Start

### Prerequisites

- Python 3.8+
- Optional: Docker Desktop (not required for simulation)

### Install

```bash
pip install quantum-docker-engine
```

Optional extras:
- Qiskit integration (optional, heavy dependency)

```bash
pip install "quantum-docker-engine[qiskit]"
# or with pipx
pipx install "quantum-docker-engine[qiskit]"
```

### Use the CLI

```bash
# Start engine
qdocker start

# Create a container in quantum superposition
qdocker create nginx:alpine my-web --quantum-weight 2.0

# Inspect and operate
qdocker ps
qdocker measure my-web
qdocker run my-web
qdocker status
```

## Detailed Usage

### Engine Management

**Start the engine**:
```bash
qdocker start
```

**Stop the engine**:
```bash
qdocker stop
```

**Check engine status**:
```bash
qdocker status
```

### Container Operations

**Create a quantum container**:
```bash
qdocker create [OPTIONS] IMAGE NAME

Options:
  --quantum-weight FLOAT    Quantum weight for superposition (default: 1.0)
  --quantum-probability FLOAT  Measurement probability (default: 0.5)
  --states TEXT            Comma-separated superposition states (default: running,stopped)
  --cpu FLOAT             CPU requirement (default: 1.0)
  --memory INTEGER        Memory in MB (default: 512)
```

**Run a container (performs quantum measurement)**:
```bash
qdocker run CONTAINER_NAME
```

**Stop a container**:
```bash
qdocker stop-container CONTAINER_NAME
```

**Measure quantum state**:
```bash
qdocker measure CONTAINER_NAME
```

**Inspect container details**:
```bash
qdocker inspect CONTAINER_NAME
```

### Quantum Operations

**Create entanglement between containers**:
```bash
qdocker entangle CONTAINER1 CONTAINER2
```

**Apply quantum gates**:
```bash
qdocker apply-gate CONTAINER GATE_TYPE [--angle FLOAT]

Available gates: X, Z, RY
```

**Quantum load balancing**:
```bash
qdocker load-balance CONTAINER1 CONTAINER2 CONTAINER3
```

**Resource rebalancing**:
```bash
qdocker rebalance
```

### Cluster Management

**Create a quantum cluster** (from your own YAML file):
```bash
qdocker create-cluster path/to/your_cluster.yaml
```

**Send quantum messages**:
```bash
qdocker send-message SENDER RECEIVER MESSAGE_TYPE --data '{"key": "value"}'
```

### Maintenance

**Run maintenance cycle**:
```bash
qdocker maintenance
```

**Export quantum state**:
```bash
qdocker export-state --filename quantum_state.json
```

## Practical Use Cases

- Quantum load balancing across nodes using the built-in scheduler
- Entangled services for correlated placement decisions
- Hybrid workflows: mix measurements, gates, and rebalancing cycles

## Configuration

### Engine Configuration

Create a `quantum_engine.yaml` file:

```yaml
quantum_docker_config:
  num_qubits: 16
  simulation_backend: cirq
  max_containers: 50
  enable_quantum_networking: true
  enable_quantum_scheduling: true
  enable_quantum_load_balancing: true
  decoherence_time_ms: 1000.0
```

Use with:
```bash
qdocker start --config quantum_engine.yaml
```

### Cluster Configuration

Define quantum clusters in YAML:

```yaml
name: my-quantum-cluster
containers:
  - name: web-server
    image: nginx:alpine
    quantum_weight: 1.0
    quantum_probability: 0.8
    superposition_states: ["running", "stopped"]
    resource_requirements:
      cpu: 0.5
      memory: 512
```

## Quantum Concepts Explained

### Superposition
Containers exist in multiple states simultaneously, allowing the engine to explore all possible deployment configurations before measurement collapse.

### Entanglement
Related containers share quantum states, ensuring correlated placement decisions (e.g., web servers on different nodes for redundancy).

### Measurement
Quantum measurement collapses superposition states to determine final container placement and configuration.

### Decoherence
The system manages quantum decoherence to maintain optimal states while preventing unwanted state collapse.

### Quantum Gates
Apply quantum transformations to modify container placement probabilities:
- **X Gate**: Flip container state probabilities
- **Z Gate**: Apply phase shifts to states
- **RY Gate**: Rotate state probabilities by specified angle

## Development

For contributors: set up a virtualenv and install in editable mode.

```bash
git clone <repo>
cd QuantumDockerEngine
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
pip install -e .
```

## Advanced Features

### Custom Quantum Algorithms

Implement custom scheduling algorithms:

```python
from quantum_docker.quantum.circuit_manager import QuantumCircuitManager

class CustomQuantumScheduler:
    def __init__(self, circuit_manager):
        self.circuit_manager = circuit_manager
    
    def custom_allocation_algorithm(self, containers, nodes):
        # Implement your quantum algorithm
        pass
```

### Quantum Metrics

Monitor quantum system health:

```python
status = await engine.get_engine_status()
coherence = status['resources']['quantum_coherence']
entanglement = status['resources']['resource_entanglement']
```

### Hybrid Classical-Quantum Operations

Combine classical and quantum scheduling:

```python
# Quantum load balancing for critical containers
critical_containers = ["database", "api-server"]
quantum_allocation = await engine.quantum_load_balance(critical_containers)

# Classical scheduling for regular containers
regular_containers = ["worker-1", "worker-2"]
# Apply classical round-robin or other algorithms
```

## Troubleshooting

### Common Issues

**Engine won't start**:
- Check Docker is running
- Verify Python dependencies are installed
- Ensure sufficient system resources

**Quantum measurement fails**:
- Check quantum coherence levels
- Verify container is in superposition state
- Run maintenance cycle to refresh quantum states

**Entanglement creation fails**:
- Ensure both containers exist
- Check quantum networking is enabled
- Verify sufficient qubits available

**Performance issues**:
- Reduce number of qubits if running on limited hardware
- Disable quantum networking for faster simulation
- Increase decoherence time for more stable states

### Debug Mode

Enable verbose logging:

```bash
export QUANTUM_DOCKER_DEBUG=1
qdocker start
```

### Quantum State Inspection

Export and analyze quantum states:

```bash
qdocker export-state --filename debug_state.json
# Analyze the JSON file to understand quantum configurations
```

## Contributing

1. Fork the repository
2. Create a feature branch
3. Implement your quantum enhancement
4. Add tests for quantum behaviors
5. Submit a pull request

### Development Guidelines

- Follow quantum computing best practices
- Maintain quantum state consistency
- Add comprehensive tests for quantum operations
- Update documentation for new quantum features

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Acknowledgments

- Google Cirq for quantum circuit simulation
- IBM Qiskit for quantum computing frameworks
- Docker for containerization technology
- The quantum computing community for inspiration

## Related Projects

- [Cirq](https://github.com/quantumlib/Cirq) - Google's quantum computing framework
- [Qiskit](https://github.com/Qiskit/qiskit) - IBM's quantum computing platform
- [Docker](https://github.com/docker/docker-ce) - Container platform

---

**Note**: This is a prototype demonstrating quantum computing concepts applied to container orchestration. While the quantum simulations are accurate, actual quantum hardware integration would require significant additional development.

*Made with quantum entanglement*
