Abstract

While all quantum algorithms can be expressed in terms of single-qubit and two-qubit gates, more expressive gate sets can help reduce the algorithmic depth. This is important in the presence of gate errors, especially those due to decoherence. Using superconducting qubits, we have implemented a three-qubit gate by simultaneously applying two-qubit operations, thereby realizing a three-body interaction. This method straightforwardly extends to other quantum hardware architectures, requires only a firmware upgrade to implement, and is faster than its constituent two-qubit gates. The three-qubit gate represents an entire family of operations, creating flexibility in the quantum-circuit compilation. We demonstrate a process fidelity of 97.90%, which is near the coherence limit of our device. We then generate two classes of entangled states, the Greenberger–Horne–Zeilinger and Dicke states, by applying the new gate only once; in comparison, decompositions into the standard gate set would have a two-qubit gate depth of two and three, respectively. Finally, we combine characterization methods and analyze the experimental and statistical errors in the fidelity of the gates and of the target states.

Details

Title
Extensive characterization and implementation of a family of three-qubit gates at the coherence limit
Author
Warren, Christopher W. 1   VIAFID ORCID Logo  ; Fernández-Pendás, Jorge 1   VIAFID ORCID Logo  ; Ahmed, Shahnawaz 1 ; Abad, Tahereh 1   VIAFID ORCID Logo  ; Bengtsson, Andreas 1   VIAFID ORCID Logo  ; Biznárová, Janka 1 ; Debnath, Kamanasish 1 ; Gu, Xiu 1   VIAFID ORCID Logo  ; Križan, Christian 1   VIAFID ORCID Logo  ; Osman, Amr 1   VIAFID ORCID Logo  ; Fadavi Roudsari, Anita 1   VIAFID ORCID Logo  ; Delsing, Per 1   VIAFID ORCID Logo  ; Johansson, Göran 1 ; Frisk Kockum, Anton 1 ; Tancredi, Giovanna 1   VIAFID ORCID Logo  ; Bylander, Jonas 1   VIAFID ORCID Logo 

 Chalmers University of Technology, Department of Microtechnology and Nanoscience, Gothenburg, Sweden (GRID:grid.5371.0) (ISNI:0000 0001 0775 6028) 
Pages
44
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20566387
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2809343808
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.