Error mitigation via adaptive calibrations

Feedback and adaptivity are playing an increasingly important role in quantum circuit execution[1-3]. These mechanisms can be applied both during circuit execution, where timing requirements are extremely stringent due to limited coherence times, as well as between circuit executions, where timing requirements play an important role due to 1/f noise and parameter drift. In this talk, we show how algorithms such as iterative phase estimation, entangled 2-qubit states and iterative state preparation techniques can be used as highly-sensitive probes to significantly speed up calibration and characterization workflows for superconducting qubit platforms. This results in higher circuit performance due to the ability to track drifting qubit parameters with much less overhead than traditional, non-feedback based methods. Furthermore, these ideas can be expanded to be used during quantum error correction cycles, to detect and prevent in-situ parameter drift during ancilla measurement rounds.

[1] A. D. Córcoles, et al, Phys. Rev. Lett. 127, 100501 (2021)

[2] Christophe Piveteau, David Sutter, arXiv:2205.00016 (2022)

[3] Cassandra Granade, Nathan Wiebe, arXiv:2208.04526 (2022)