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.
Authors
- James Wills
- Simone D Fasciati (ORCID: https://orcid.org/0000-0003-4668-1895)
- Deep Lall (ORCID: https://orcid.org/0009-0005-3383-0531)
- Ivan Rungger (ORCID: https://orcid.org/0000-0002-9222-9317)
- Vivek Chidambaram
- Peter Leek (ORCID: https://orcid.org/0000-0002-1410-5642)
- Boris Shteynas (ORCID: https://orcid.org/0000-0003-2205-6681)
- Giulio Campanaro (ORCID: https://orcid.org/0000-0003-1589-4732)
- Shuxiang Cao (ORCID: https://orcid.org/0000-0001-7178-4250)
- Mustafa Bakr (ORCID: https://orcid.org/0000-0002-2900-8511)
Institutions
- National Physical Laboratory (GB)
- University of Oxford (GB)
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
Funders
- Engineering and Physical Sciences Research Council