Modular quantum computation in a trapped ion system

Kuan Zhang (), Jayne Thompson (), Xiang Zhang, Yangchao Shen, Yao Lu, Shuaining Zhang, Jiajun Ma, Vlatko Vedral, Mile Gu () and Kihwan Kim ()
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Kuan Zhang: Tsinghua University
Jayne Thompson: National University of Singapore
Xiang Zhang: Tsinghua University
Yangchao Shen: Tsinghua University
Yao Lu: Tsinghua University
Shuaining Zhang: Tsinghua University
Jiajun Ma: Tsinghua University
Vlatko Vedral: Tsinghua University
Mile Gu: National University of Singapore
Kihwan Kim: Tsinghua University

Nature Communications, 2019, vol. 10, issue 1, 1-6

Abstract: 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 $$U$$ U . We demonstrate that the algorithm functions correctly irrespective of what unitary $$U$$ U the server implements or how the server specifically realizes $$U$$ U . Our experiment involves pioneering techniques to coherently swap qubits encoded within the motional states of a trapped $${}^{171}{{\rm{Yb}}}^{+}\,$$ 171 Yb + 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.

Date: 2019
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DOI: 10.1038/s41467-019-12643-2

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