Stein's method has emerged as a powerful and versatile tool in probability theory for deriving error bounds in distributional approximations. Originally developed to ...
I studied quantum dynamics (Lieb-Robinson bounds), and quantum algorithms (thermalization and quantum simulation) using tools from high dimensional probability (e.g., random matrix theory, matrix ...
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