State Types
Noise Reduction
Fidelity v.s. Noise

ABCs: From Noise to Information

🧠 Inspiration

Quantum noise is more than randomness—it's a hidden canvas of nature. Inspired by the complex structures within quantum uncertainty, we aimed to turn ambiguity into clarity by decoding meaningful quantum states from aesthetically rich noise landscapes.

⚙️ What It Does

Generates Wigner functions of quantum states
Simulates their evolution under noise and dissipation
Reconstructs density matrices from distorted phase-space observations

This enables us to model, analyze, and visualize quantum systems affected by real-world imperfections.

🛠️ How We Built It

Built robust noise-correction pipelines for experimental data
Applied least-squares and convex optimization for density matrix recovery
Performed quantum state reconstruction using displaced parity measurements
Simulated Wigner functions and open system dynamics with dynamiqs (powered by JAX)

🚧 Challenges We Ran Into

While we set up a full pipeline for fidelity analysis and reconstruction, we didn’t have enough time to compute all density matrices before submission.

🏆 Accomplishments We’re Proud Of

Successfully simulated quantum states with complex Wigner functions
Visualized phase-space evolution under dissipation
Developed a robust foundation for future extensions into real experimental integration