Nonadiabatic Holonomic Quantum Computation with Dressed-State Qubits

Zheng-Yuan Xue*, Feng-Lei Gu, Zhuo-Ping Hong, Zi-He Yang, Dan-Wei Zhang, Yong Hu*, J. Q. You*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

86 Citations (Scopus)

Abstract

Implementing holonomic quantum computation is a challenging task as it requires complicated interaction among multilevel systems. Here we propose to implement nonadiabatic holonomic quantum computation based on dressed-state qubits in circuit QED. An arbitrary holonomic single-qubit gate can be conveniently achieved using external microwave fields and tuning their amplitudes and phases. Meanwhile, nontrivial two-qubit gates can be implemented in a coupled-cavities scenario assisted by a grounding superconducting quantum-interference device (SQUID) with tunable interaction, where the tuning is achieved by modulating the ac flux threaded through the SQUID. In addition, our proposal is directly scalable, up to a two-dimensional lattice configuration. In the present scheme, the dressed states involve only the lowest two levels of each transmon qubit, and the effective interactions exploited are all of resonant nature. Therefore, we release the main difficulties for physical implementation of holonomic quantum computation on superconducting circuits.

Original languageEnglish
Article number054022
JournalPhysical Review Applied
Volume7
Issue number5
Online published26 May 2017
DOIs
Publication statusPublished - May 2017
Externally publishedYes

Funding

This work is supported by the National Fundamental Research Program of China (NFRPC) (Grant No.2013CB921804), the National Key Research and Development Program of China (NKRDPC) (Grants No.2016YFA0301200 and No.2016YFA0301803), the National Natural Science Foundation of China (NSFC) (Grants No.11104096, No.11374117, and No.11604103), Natural Science Associated Foundation of China (NSAF) (Grants No.U1330201 and No.U1530401), and the Natural Science Foundation (NSF) of Guangdong Province (Grant No.2016A030313436).

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