is grossly inaccurate in the case where
the states and measurement operators used to interrogate the system are
generated by gates that have some systematic error, a situation all but
unavoidable in any practical setting. These errors in tomography can not be
fully corrected through oversampling or by performing a larger set of
experiments. We present an alternative method for tomography to reconstruct an
entire library of gates in a self-consistent manner. The essential ingredient
is to define a likelihood function that assumes nothing about the gates used
for preparation and measurement. In order to make the resulting optimization
tractable we linearize about the target, a reasonable approximation when
benchmarking a quantum computer as opposed to probing a black-box function.
Self-Consistent Quantum Process Tomography
Quantum process tomography is a necessary tool for verifying quantum gates
and diagnosing faults in architectures and gate design. We show that the
standard approach of process tomography