Efficient characterization of qudit logical gates with gate set tomography using an error-free Virtual-Z-gate model
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2022
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866910607555428352 |
|---|---|
| author | Cao, Shuxiang Lall, Deep Bakr, Mustafa Campanaro, Giulio Fasciati, Simone Wills, James Chidambaram, Vivek Shteynas, Boris Rungger, Ivan Leek, Peter |
| author_facet | Cao, Shuxiang Lall, Deep Bakr, Mustafa Campanaro, Giulio Fasciati, Simone Wills, James Chidambaram, Vivek Shteynas, Boris Rungger, Ivan Leek, Peter |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2210_04857 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Efficient characterization of qudit logical gates with gate set tomography using an error-free Virtual-Z-gate model Cao, Shuxiang Lall, Deep Bakr, Mustafa Campanaro, Giulio Fasciati, Simone Wills, James Chidambaram, Vivek Shteynas, Boris Rungger, Ivan Leek, Peter Quantum Physics 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. |
| title | Efficient characterization of qudit logical gates with gate set tomography using an error-free Virtual-Z-gate model |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2210.04857 |