This repository implements a quantum state tomography method using Maximum Likelihood Estimation (MLE) to reconstruct quantum states from measurement samples. It includes visualization tools for Bloch spheres and fidelity between true and reconstructed states.

Requirements

This project requires the following Python libraries:

• qutip - For Bloch sphere visualization
• ipywidgets - For interactive widgets
• plotly - For advanced plotting
• numpy - For numerical operations
• scipy - For optimization and statistical functions
• matplotlib - For basic plotting

You can install the dependencies using pip:

pip install -r requirements.txt

Tutorial for 2-qubit simulation

Citation

If you use or refer to this work in your research, please cite it as follows:

@article{sohail2025qubitlens,
  title={QubitLens: An Interactive Learning Tool for Quantum State Tomography},
  author={Sohail, Mohammad Aamir and Sudharshan, R Ranga and Pradhan, S Sandeep and Rao, Arvind},
  journal={arXiv preprint arXiv:2505.08056},
  year={2025}
}