Continuous-Variable Photonic Quantum Computing and Nonlinear Kerr Dynamics in Quantum Machine Learning

This work presents a high-performance, memory-safe continuous-variable (CV) photonic quantum computing simulator developed from scratch in Rust. The implementation features a rigorous 4-stage pipeline modeling initial symmetric vacuum states, single-mode squeezing, phase-space rotation, and non-Gaussian Kerr dynamics. By leveraging Rust's bare-metal execution speed and compile-time memory safety, this simulator provides a robust computational framework for investigating non-linear feature maps, phase-space deformations, and photonic architectures in Quantum Machine Learning (QML) without relying on heavy garbage collection overheads.