This repository collects the laboratory activities completed for the Quantum Electronics (Qubit Electronics) course (Academic Year 2024–2025).
Each folder LabX includes the official laboratory instructions and the report developed by our student team.
| Folder | Description |
|---|---|
| Lab1 | Superconducting qubits and relaxation phenomena. Study of qubit coherence and relaxation mechanisms (T₁, T₂), Purcell effect, and RLC circuit modeling using LTspice. Includes analysis of Josephson Junction dynamics and qubit–environment coupling. |
| Lab2 | RF characterization using a Vector Network Analyzer (VNA). Measurement of unknown RF devices, acquisition and analysis of S-parameters, and interpretation of scattering data through MATLAB/Python scripting. |
| Lab3 | Double Quantum Dot Simulation – Poisson & Schrödinger equations. Setup and simulation of a double quantum dot using GMSH (mesh generation) and QTCAD (quantum FEM solver). Includes understanding of mesh definition, materials, and potential profiles. |
| Lab4 | Poisson equation and device meshing. Modeling a Si/SiO₂ double quantum dot structure (SiMOS). Focus on mesh density, material regions, solver parameters, and visualization of electrostatic potential using ParaView. |
| Lab5 | Schrödinger equation applied to SiMOS structures. Modification of the previous lab code to solve for eigenstates and energies of the double quantum dot. Analysis of results and interpretation of bonding configurations. |
| Lab6 | Energy-level splitting in double quantum dots. Implementation of Poisson and Schrödinger solvers within a Python loop to calculate energy-level splitting versus inter-dot barrier. Includes exponential fitting and discussion of results. |
Each LabX folder contains:
- 📄 Lab instructions (.pdf) – the original handout describing the objectives and required tasks (format:Lab.pdf) .
- 🧠 Report – our written analysis and results for the corresponding lab (format: gr1_lab.pdf).
- 🧰 Simulation or code files – when applicable (not uploaded yet).
Laboratory reports and simulations developed by:
- Michele Merla
- Daniele Cataldo
- Francesco Daraia
The contribution percentages displayed under Insights → Contributors on GitHub do not reflect the actual division of work, since this repository was created retrospectively to collect all lab materials.