Design and simulation of a fluxonium-based quantum processor

ORAL

Abstract

In recent years, quantum processors using superconducting circuits have scaled up to the tens of qubits to explore complex physical phenomena and execute novel algorithms [1]. The fluxonium qubit is a superconducting circuit architecture that has achieved impressive coherence times [2]. Its high anharmonicity enables high fidelity gates with low leakage, promising better quantum processing performance. Here, we report our progress on designing and simulating a quantum processor based on fluxonium qubits with suppressed crosstalk, verifying that the parameters are within our fabrication capabilities. We discuss challenges in scaling up and our approaches to overcome them.

[1]: F. Arute et al. Nature 574, 505-510 (2019)

[2]: L.B. Nguyen et al. PRX 9, 041041 (2019)

*This work was supported by the Office of Advanced Scientific Computing Research, Testbeds for Science program, Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, and by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE 1752814.

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Presenters

  • Trevor Chistolini

    • University of California, Berkeley

Authors

  • Trevor Chistolini

    • University of California, Berkeley

  • Long B Nguyen

    • Lawrence Berkeley National Laboratory

  • Gerwin Koolstra

    • University of California, Berkeley

  • Yosep Kim

    • Lawrence Berkeley National Laboratory

  • Larry Chen

    • University of California, Berkeley

  • Ravi K Naik

    • University of California, Berkeley
    • Lawrence Berkeley National Laboratory

  • Alexis Morvan

    • Lawrence Berkeley National Laboratory

  • Zahra Pedramrazi

    • Lawrence Berkeley National Laboratory

  • Christian Juenger

    • Lawrence Berkeley National Laboratory

  • John Mark Kreikebaum

    • Lawrence Berkeley National Laboratory

  • David I Santiago

    • Lawrence Berkeley National Laboratory
    • Computational Research Division, Lawrence Berkeley National Lab

  • Irfan Siddiqi

    • University of California, Berkeley
    • Applied Mathematics and Computational Research and Materials Sciences Divisions, LBNL
    • Lawrence Berkeley National Laboratory
    • Applied Mathematics, Computational Research and Materials Sciences Divisions, Lawrence Berkeley National Lab