Machine-Learning-Based Three-Qubit Gate Design for the Toffoli Gate and Parity Check in Transmon Systems

Authors

S. DaraeizadehFollow
S. P. Premaratne
N. Khammassi
X. SongFollow
M. Perkowski, Portland State UniversityFollow
A. Y. MatsuuraFollow

Published In

Physical Review a

Document Type

Citation

Publication Date

7-2-2020

Locate the Document

https://doi.org/10.1103/PhysRevA.102.012601

DOI

10.1103/PhysRevA.102.012601

Persistent Identifier

https://archives.pdx.edu/ds/psu/34776

Citation Details

Daraeizadeh, S., Premaratne, S. P., Khammassi, N., Song, X., Perkowski, M., & Matsuura, A. Y. (2020). Machine-learning-based three-qubit gate design for the Toffoli gate and parity check in transmon systems. Physical Review A, 102(1). https://doi.org/10.1103/PHYSREVA.102.012601