Overcoming the Rotating-Wave Approximation in Fluxonium with Circularly Polarized Driving (Part 2)

ORAL

Abstract

Fluxonium qubits are an attractive candidate for gate-based quantum computing due in part to their long coherence times. Two general features of a typical fluxonium are its low qubit frequency (less than 1 gigahertz) and its high anharmonicity (several gigahertz). One consequence, however, is related to the single-qubit gate speed: as the qubit drive power is increased, the rotating wave approximation breaks down before the leakage into non-computational states dominates the gate error. This is notably different with transmon qubits, which have a high qubit frequency but low anharmonicity.



In this work, we circumvent the aforementioned limitation by simultaneously performing linear charge and flux drives on a fluxonium superconducting qubit to create the circuit-quantum-electrodynamics analogue of circularly-polarized light. With this, we show both theoretically and experimentally that the rotating-wave approximation can be completely bypassed and use this technique to calibrate single-qubit gates as short as 10 ns with above 99.99% fidelity. In this second part of the talk, we detail gate calibration procedures and discuss current factors limiting gate fidelities.

* This research is funded by the U.S. Army Research Office under Award No. W911NF-23-1-0045 and by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. L.D. acknowledges support by an IBM PhD Fellowship. D.A.R. acknowledges support from the NSF Graduate Research Fellowship (Grant No. 1745302). The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the U.S. Government.

Presenters

  • David A Rower

    MIT, MIT, Oliver Group (EQuS)

Authors

  • David A Rower

    MIT, MIT, Oliver Group (EQuS)

  • Leon Ding

    Massachusetts Institute of Technology MI, Massachusetts Institute of Technology

  • Max Hays

    MIT, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology MI, Massachusetts Institute of Technology, Massachussets Institute of Technology, Massachusetts Institute of Technology MIT

  • Ilan T Rosen

    Massachusetts Institute of Technology

  • Bethany M Niedzielski

    MIT Lincoln Lab, MIT Lincoln Laboratory

  • Mollie E Schwartz

    MIT Lincoln Laboratory

  • Jonilyn L Yoder

    MIT Lincoln Lab, MIT Lincoln Laboratory

  • Kyle Serniak

    MIT Lincoln Laboratory & MIT RLE, MIT Lincoln Laboratory, MIT Lincoln Laboratory, MIT RLE

  • Jeffrey A Grover

    Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology MIT

  • William D Oliver

    Massachusetts Institute of Technology MI, Massachusetts Institute of Technology, Massachusetts Institute of Technology (MIT), Massachusetts Institute of Technology MIT