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Title: Modular quantum computation in a trapped ion system
Authors: Zhang, K.
Thompson, J. 
Zhang, X.
Shen, Y.
Lu, Y.
Zhang, S.
Ma, J.
Vedral, V. 
Gu, M. 
Kim, K.
Issue Date: 2019
Publisher: Nature Publishing Group
Citation: Zhang, K., Thompson, J., Zhang, X., Shen, Y., Lu, Y., Zhang, S., Ma, J., Vedral, V., Gu, M., Kim, K. (2019). Modular quantum computation in a trapped ion system. Nature Communications 10 (1) : 4692. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: Modern computation relies crucially on modular architectures, breaking a complex algorithm into self-contained subroutines. A client can then call upon a remote server to implement parts of the computation independently via an application programming interface (API). Present APIs relay only classical information. Here we implement a quantum API that enables a client to estimate the absolute value of the trace of a server-provided unitary operation U. We demonstrate that the algorithm functions correctly irrespective of what unitary U the server implements or how the server specifically realizes U. Our experiment involves pioneering techniques to coherently swap qubits encoded within the motional states of a trapped 171Yb+ ion, controlled on its hyperfine state. This constitutes the first demonstration of modular computation in the quantum regime, providing a step towards scalable, parallelization of quantum computation. © 2019, The Author(s).
Source Title: Nature Communications
ISSN: 20411723
DOI: 10.1038/s41467-019-12643-2
Rights: Attribution 4.0 International
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