Quantum Network Simulator and Data Pipeline Setup

Begin by setting up a Python environment. Develop a `quantum_link_simulator.py` script that generates time-series data for a simulated quantum communication link. This data should include metrics like Quantum Bit Error Rate (QBER), entanglement fidelity, and photon loss/count. Implement modes for nominal operation, increased environmental noise, and a basic eavesdropping attempt. Configure a local Kafka instance and create a producer in your script to stream this simulated telemetry data into a Kafka topic named `quantum_telemetry`.