I have done a quantum process tomography experiment on a two qubit system.
# Set up the QPT experiment
qpt = ProcessTomography(qc_h)
#Run
qstdata1 = qpt.run(backend, shots=(1024*2)).block_for_results()
#Result
for result in qstdata1.analysis_results():
print(result)
The output contains a Choi matrix:
AnalysisResult
- name: state
- value: Choi([[ 0.52176658+0.00000000e+00j, 0.46669301-3.60389531e-03j,
0.45464147-2.22373925e-02j, -0.45936069+1.54147696e-02j],
[ 0.46669301+3.60389531e-03j, 0.47843409+1.30104261e-18j,
0.47397839+1.01701620e-02j, -0.45466925+2.23604672e-02j],
[ 0.45464147+2.22373925e-02j, 0.47397839-1.01701620e-02j,
0.49722515+0.00000000e+00j, -0.47223203+1.56516697e-02j],
[-0.45936069-1.54147696e-02j, -0.45466925-2.23604672e-02j,
-0.47223203-1.56516697e-02j, 0.50257418+0.00000000e+00j]],
input_dims=(2,), output_dims=(2,))
However, I would like it to be a Chi ($\chi$) matrix so I can plot it.
How do I go about turning that data above, from a Choi matrix, to a Chi matrix?
Cheers