Matrix operators composed of Kronecker products and related objects, such as Kronecker sums, arise in many areas of applied mathematics including signal processing, semidefinite programming, and quantum computing (Loan, 2000) . As such, a computational toolkit for manipulating Kronecker-based systems, in a way that is both efficient and idiomatic, has the potential to aid research in many fields. PyKronecker aims to deliver this in the Python programming language by providing a simple API that

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... ntegrates well with the widely-used NumPy library (Harris et al., 2020) , and that supports automatic differentiation and accelerated computation on GPU/TPU hardware using Jax (Bradbury et al., 2018) .