schrodingers_ket
View on GitHub →🌟 Architectural Vision & System Design
The system is built on a Hybrid Quantum-Classical Architecture (HQCA). The primary objective is to capture, quantify, and visualize the subtle environmental noise and gate imperfections inherent in modern Noisy Intermediate-Scale Quantum (NISQ) devices.
Rather than treating quantum noise as a purely statistical error rate, this architecture treats noise as a dynamic signal. By running parallel workloads on physical hardware and classical simulators, the system isolates the delta (the noise profile) and maps it to a human-visible color spectrum.
┌─────────────────────────────────────────────────────────────────┐
│ Classical Control Layer │
│ (Jupyter Notebook / Python Orchestration Engine) │
└────────────────────────────────┬────────────────────────────────┘
│
┌────────────────┴────────────────┐
▼ ▼
┌──────────────────────────────┐ ┌──────────────────────────────┐
│ Quantum Backend │ │ Classical Backend │
│ (IonQ Trapped-Ion QPU) │ │ (Qiskit Aer Simulator) │
│ - Physical Noise & Drift │ │ - Ideal Mathematical State │
└──────────────────────────────┘ └──────────────────────────────┘
│ │
└────────────────┬────────────────┘
▼
┌─────────────────────────────────────────────────────────────────┐
│ Data Processing Pipeline