Work

Spectral quantum tomography

Year: 2019

Type: article

Abstract: We introduce spectral quantum tomography, a simple method to extract the eigenvalues of a noisy few-qubit gate, represented by a trace-preserving superoperator, in a SPAM-resistant fashion, using low resources in terms of gate sequence length. The eigenvalues provide detailed gate information, supplementary to known gate-quality measures such as the gate fidelity, and can be used as a gate diagnostic tool. We apply our method to one- and two-qubit gates on two different superconducting systems available in the cloud, namely the QuTech Quantum Infinity and the IBM Quantum Experience. We discuss how cross-talk, leakage and non-Markovian errors affect the eigenvalue data.

Source: npj Quantum Information

DOI: 10.1038/s41534-019-0189-0

Authors: Jonas Helsen, Francesco Battistel, Barbara M. Terhal

Institutions: QuTech, Delft University of Technology, Forschungszentrum Jülich, Jülich Aachen Research Alliance

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,490

Funders: Technische Universiteit Delft, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Bentham-Moxon Trust, H2020 European Research Council