IQIM Postdoctoral and Graduate Student Seminar

Abstract: Benchmarking the development of quantum computing platforms requires the accurate characterization of noise affecting gate implementations.
Characterization protocols will generally themselves make use of imperfectly implemented quantum operations and need to be robust against noise introduced by these operations. Such robust methods often rely on randomization over gate sets.
In this seminar, we will present a line of research aiming at the practically feasible and detailed characterization of average noise of gate-set implementation. We will describe general protocols and theoretical guarantees for the learning of linear properties of the average noise associated with a gate set.

We will then present results on the stability of linear estimation using noisy randomized bases measurements as well as a collection of strategies for noise mitigation.

Lunch will be provided following the talk.