Joint Annual Meeting of ÖPG and SPS 2021

【559】Multi parameter Bayesian optimisation of the Mølmer-Sørensen gate

3 Sept 2021, 13:15

15m

Room F

Talk Quantum Information and Quantum Computing Quantum Information and Quantum Computing

Speaker

Lukas Gerster (UIBK)

Description

One of the challenges of scaling up quantum processors is the optimization of the quantum gates, as each gate may require different control parameters. We developed and tested a fast protocol to automatically calibrate the entangling 2-qubit Mølmer Sørensen gate using Bayesian parameter estimation. Such a protocol promises to increase experimental uptime by decreasing the time needed for calibration, as well as allowing automated operation. Our protocol achieves a median infidelity of 0.13(1)% caused by miscalibration in $1200+/-500$ experimental shots. This paves the way to decouple quantum circuits from their implementation on ion trap hardware, allowing operation by an end user without detailed knowledge of the physical realization.