Yard Poc Turboquant

Create a Proof of Concept (PoC) system, TurboQuant, that applies Google's vector quantization algorithm to the WhaTap YARD monitoring server. The goal is to demonstrate its utility in three areas: time-series data compression, similarity search, and anomaly detection. The system should be built using Java and should include modules for generating demo traffic, running compression benchmarks (showing up to 8.57x compression), performing similarity searches on 480-dimensional vectors, and detecting anomalies using Mahalanobis distance. I need to utilize the core quantization logic, which involves random rotation and Lloyd-Max codebook optimization.