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Trapped Ion Quantum Computing
Superconducting Qubits
Estimating the precision for quantum process tomography
arXiv
Authors: E. O. Kiktenko, D. N. Kublikova, A. K. Fedorov
Year
2019
Paper ID
15110
Status
Preprint
Abstract Read
~2 min
Abstract Words
86
Citations
N/A
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.
Why This Paper Matters
- This paper contributes to the Superconducting Qubits research area in the Quantum Articles archive.
- It adds a 2019 reference point for readers tracking recent quantum research.
- Quantum tomography is a widely applicable tool for complete characterization of quantum states and processes.
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