Title: Observation of disorder-free localization and efficient disorder averaging on a quantum processor

Abstract: One of the most challenging problems in the computational study of localization in quantum many-body systems is capturing the effects of rare events, which requires sampling over exponentially many disorder realizations. In this talk, I will describe an efficient procedure we implemented on a quantum processor at Google, leveraging quantum parallelism to sample overall disorder realizations efficiently. Remarkably, this procedure results in disorder-free localization, which we demonstrate by measuring energy spreading in one and two dimensions.