MATLAB library for benchmarking quantum tomography (QT) methods. Full documentation is available here.
The library was tasted on MATLAB R2018b. Required toolboxes and external libraries:
- MATLAB Statistics toolbox
- DataHash library
To install the library clone the repository or download and unpack zip-archive. Before using run the startup script.
>> qtb_startup
Some of the implemented QT methods require installing external MATLAB libraries:
- est_ppi - https://github.com/qMLE/qMLE
- est_frls - http://cvxr.com/cvx/
- est_frml - https://github.com/PQCLab/RootTomography
- est_trml - https://github.com/PQCLab/RootTomography
- est_arml -https://github.com/PQCLab/RootTomography
- est_cs - http://cvxr.com/cvx/
The following code shows a basic example of running analysis for a 2-qubit tomography method on random pure states.
dim = [2,2];
result = qtb_analyze(proto_fmub(dim), est_ppi(), dim, 'rps');The following code calculates benchmarks using raw data obtained above.
report = qtb_report(result, 'rps');
disp(report.table);