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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)

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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