Quantum Tomography Benchmarking

Python package for benchmarking quantum tomography (QT) methods. The theory behind the software could be found in [1].

Installation

To install package download the source files and run

python setup.py install

Analyze the QT method benchmarks

The following code shows a basic example of running data collection for a 2-qubit tomography method on random pure states.

from pyqtb import Dimension
from pyqtb.analyze import collect
from pyqtb.tests import rps_test
from pyqtb.methods.proto_fmub import proto_fmub
from pyqtb.methods.est_ppi import est_ppi

dim = Dimension([2, 2])
result = collect(dim, proto_fmub(dim), est_ppi(), rps_test(dim))

To get and print a basic report over benchmarks one runs the following commands.

from pyqtb.analyze import report, as_table

r = report(result)
print(as_table(report))

One can also compare different methods.

from pyqtb.analyze import compare, as_table

r = report([result1, result2])
print(as_table(report))

Module pyqtb.analyze also contains plot functions.

License

All code found in this repository is licensed under GPL v3

References

[1] Bantysh B.I. et al. Quantum tomography benchmarking; arXiv:2012.15656