Efficient Characterization of Qudit Logical Gates with Gate Set Tomography Using an Error-Free Virtual <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>Z</mml:mi></mml:math> Gate Model

Gate set tomography (GST) characterizes the process matrix of quantum logic gates, along with measurement and state preparation errors in quantum processors. GST typically requires extensive data collection and significant computational resources for model estimation. We propose a more efficient GST approach for qudits, utilizing the qudit Hadamard and virtual Z gates to construct fiducials while assuming virtual Z gates are error-free. Our method reduces the computational costs of estimating characterization results, making GST more practical at scale. We experimentally demonstrate the applicability of this approach on a superconducting transmon qutrit.

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Publication Details

Journal
Physical Review Letters
Published
2024-09-17
DOI
https://doi.org/10.1103/physrevlett.133.120802
Citations
8
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.78

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article

Efficient Characterization of Qudit Logical Gates with Gate Set Tomography Using an Error-Free Virtual <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>Z</mml:mi></mml:math> Gate Model

James Wills, Simone D Fasciati, Deep Lall, Ivan Rungger et al.
8 citations
Physical Review Letters
Quantum Computing Algorithms and Architecture
2.78
article

Efficient Characterization of Qudit Logical Gates with Gate Set Tomography Using an Error-Free Virtual <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>Z</mml:mi></mml:math> Gate Model

James Wills, Simone D Fasciati, Deep Lall, Ivan Rungger, Vivek Chidambaram, Peter Leek, Boris Shteynas, Giulio Campanaro, Shuxiang Cao, Mustafa Bakr
article en
8 citations

Abstract

Gate set tomography (GST) characterizes the process matrix of quantum logic gates, along with measurement and state preparation errors in quantum processors. GST typically requires extensive data collection and significant computational resources for model estimation. We propose a more efficient GST approach for qudits, utilizing the qudit Hadamard and virtual Z gates to construct fiducials while assuming virtual Z gates are error-free. Our method reduces the computational costs of estimating characterization results, making GST more practical at scale. We experimentally demonstrate the applicability of this approach on a superconducting transmon qutrit.

Physical Review LettersVol. 133(12)
National Physical Laboratory (GB), University of Oxford (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 8%
Quantum Computing Algorithms and Architecture
2.78
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