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Qutrit randomized benchmarking

ORAL

Abstract

Qutrits are an alternative to qubits to implement quantum computers by using three-, rather than two-level systems, and have proved useful to explore connections between high-energy physics and quantum information science. A standard measure of the performance of qubit-based processors would be to use randomized benchmarking and its derivatives as these techniques allows scalable characterization of the processor.
In this talk, we present an experimental implementation of qutrit randomized benchmarking on a 5-qutrit processor. This gives us a measure of the overall performance of our processor, as well as a tool to diagnose specific gate fidelity and cross-talk error.

Presenters

  • Alexis Morvan

    Lawrence Berkeley National Laboratory

Authors

  • Alexis Morvan

    Lawrence Berkeley National Laboratory

  • Machiel S Blok

    University of California, Berkeley, Univ of California - Berkeley

  • Vinay Ramasesh

    Univ of California - Berkeley, University of California, Berkeley

  • Larry chen

    Univ of California - Berkeley

  • Irfan Siddiqi

    University of California, Berkeley, Univ of California - Berkeley, Univ of California – Berkeley, Physics, University of California, Berkeley