Estimating the precision for quantum process tomography
E.O. Kiktenko, D.N. Kublikova, A.K. Fedorov
TL;DR
This paper introduces a new method for quantum process tomography that guarantees precision, utilizing the Choi-Jamiolkowski isomorphism and Hilbert-Schmidt distance, demonstrated on superconducting quantum gates.
Contribution
It generalizes an extended norm minimization estimator for quantum processes, providing a precision-guaranteed approach for quantum process characterization.
Findings
Effective characterization of quantum gates on superconducting processors.
The estimator provides reliable precision bounds.
Applicable within the IBM Q quantum computing framework.
Abstract
Quantum tomography is a widely applicable tool for complete characterization of quantum states and processes. In the present work, we develop a method for precision-guaranteed quantum process tomography. With the use of the Choi-Jamiolkowski isomorphism, we generalize the recently suggested extended norm minimization estimator for the case of quantum processes. Our estimator is based on the Hilbert-Schmidt distance for quantum processes. Specifically, we discuss the application of our method for characterizing quantum gates of a superconducting quantum processor in the framework of the IBM Q Experience.
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