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  Efficient cavity control with SNAP gates

Fösel, T., Krastanov, S., Marquardt, F., & Jiang, L. (2020). Efficient cavity control with SNAP gates. arXiv, 2004.14256v1.

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Fösel, Thomas1, 2, 3, Author           
Krastanov, Stefan2, 3, 4, 5, Author
Marquardt, Florian1, 6, Author           
Jiang, Liang7, Author
Affiliations:
1Marquardt Division, Max Planck Institute for the Science of Light, Max Planck Society, ou_2421700              
2Department of Applied Physics and Physics, Yale University, New Haven, CT, USA, ou_persistent22              
3Yale Quantum Institute, Yale University, New Haven, CT, USA, ou_persistent22              
4Department of Electrical Engineering and Computer Science,Massachusetts Institute of Technology, Cambridge, MA 02139, USA, ou_persistent22              
5John A. Paulson School of Engineering and Applied Sciences,Harvard University, Cambridge, MA 02138, USA, ou_persistent22              
6Physics Department, University of Erlangen-Nuremberg, Staudstr. 5, 91058 Erlangen, Germany, ou_persistent22              
7Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois 60637, USA, ou_persistent22              

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 Abstract: Microwave cavities coupled to superconducting qubits have been demonstrated to be a promising platform for quantum information processing. A major challenge in this setup is to realize universal control over the cavity. A promising approach are selective number-dependent arbitrary phase (SNAP) gates combined with cavity displacements. It has been proven that this is a universal gate set, but a central question remained open so far: how can a given target operation be realized efficiently with a sequence of these operations. In this work, we present a practical scheme to address this problem. It involves a hierarchical strategy to insert new gates into a sequence, followed by a co-optimization of the control parameters, which generates short high-fidelity sequences. For a broad range of experimentally relevant applications, we find that they can be implemented with 3 to 4 SNAP gates, compared to up to 50 with previously known techniques.

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Language(s): eng - English
 Dates: 2020-04-292020-04-29
 Publication Status: Published online
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 Identifiers: arXiv: 2004.14256v1
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