Efficient arbitrary simultaneously entangling gates on a trapped-ion quantum computer

Nikodem Grzesiak (), Reinhold Blümel (), Kenneth Wright, Kristin M. Beck, Neal C. Pisenti, Ming Li, Vandiver Chaplin, Jason M. Amini, Shantanu Debnath, Jwo-Sy Chen and Yunseong Nam ()
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Nikodem Grzesiak: IonQ
Reinhold Blümel: IonQ
Kenneth Wright: IonQ
Kristin M. Beck: IonQ
Neal C. Pisenti: IonQ
Ming Li: IonQ
Vandiver Chaplin: IonQ
Jason M. Amini: IonQ
Shantanu Debnath: IonQ
Jwo-Sy Chen: IonQ
Yunseong Nam: IonQ

Nature Communications, 2020, vol. 11, issue 1, 1-6

Abstract: Abstract Efficiently entangling pairs of qubits is essential to fully harness the power of quantum computing. Here, we devise an exact protocol that simultaneously entangles arbitrary pairs of qubits on a trapped-ion quantum computer. The protocol requires classical computational resources polynomial in the system size, and very little overhead in the quantum control compared to a single-pair case. We demonstrate an exponential improvement in both classical and quantum resources over the current state of the art. We implement the protocol on a software-defined trapped-ion quantum computer, where we reconfigure the quantum computer architecture on demand. Our protocol may also be extended to a wide variety of other quantum computing platforms.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16790-9

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DOI: 10.1038/s41467-020-16790-9

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