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Calibration Verifications Using QuTiP

This repository provides a Jupyter notebook (C4IR_Workshop.ipynb) for simulating and visualizing calibration procedures in superconducting qubit systems using QuTiP and scqubits.

Features

• Frequency Domain: Coupled qubit-resonator Hamiltonian, energy levels, resonator spectroscopy.
• Two-Tone Spectroscopy: Simulated extraction of the qubit frequency.
• Time Domain: Rabi oscillations, fitting routines, and visualization.
• Qubit Characterization: T1 (decoherence) and T2* (dephasing) measurements and fits.

Usage

Simulation cells are commented out to avoid long runtimes. Instead, precomputed results are provided as pickled files in the sim_data/ directory. The notebook loads these files for immediate plotting and analysis.

To re-run simulations, simply uncomment the relevant code cells.

Provided Pickled Outputs

• sim_data/output_r_spectroscopy.pkl — Resonator spectroscopy
• sim_data/output_two_tone.pkl — Two-tone spectroscopy
• sim_data/output_chevron.pkl — Rabi measurement
• sim_data/output_T1.pkl — T1 relaxation
• sim_data/output_T2_start.pkl — T2* (Ramsey)

Requirements

• Python 3.7+
• qutip, scqubits, numpy, matplotlib, joblib, tqdm

Install with:

pip install qutip scqubits numpy matplotlib joblib tqdm

How to Run

1. Open C4IR_Workshop.ipynb in Jupyter or VS Code.
2. Run the notebook. Simulation cells are commented; uncomment to re-run if needed.
3. Plots and analysis will use the provided pickled data.

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Author:
Ibraheem AlYousef