English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Superconducting circuits with coupler architecture receive considerableattention due to their advantages in tunability and scalability. Althoughsingle-qubit gates with low error have been achieved, high-fidelity two-qubitgates in coupler architecture are still challenging. This paper pays specialattention to examining the gate error sources and primarily concentrates on therelated physical mechanism of ZZ parasitic couplings using a systematiceffective Hamiltonian approach. Benefiting from the effective Hamiltonian, weprovide simple and straightforward insight into the ZZ parasitic couplings thatwere investigated previously from numerical and experimental perspectives. Theanalytical results obtained provide exact quantitative conditions foreliminating ZZ parasitic couplings, and trigger four novel realizable parameterregions in which higher fidelity two-qubit gates are expected. Beyond thenumerical simulation, we also successfully drive a simple analytical result ofthe two-qubit gate error from which the trade-off effect between qubit energyrelaxation effects and ZZ parasitic couplings is understood, and the resultingtwo-qubit gate error can be estimated straightforwardly. Our study opens up newopportunities to implement high-fidelity two-qubit gates in superconductingcoupler architecture.

Implementing High-fidelity Two-Qubit Gates in Superconducting Coupler Architecture with Novel Parameter Regions