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A wealth of tensor network submissions

Within the last year, a number of new and unexpected applications of tensor networks have emerged in our group. This is

- slightly more conventionally, the simulation of strongly correlated two-dimensional thermal systems,


- They also serve as design principle to create mesoscopic architectures to realize topological phases of matter and computing schemes,


- Maybe the least expected, they can be used in recovering non-linear classical equations of motion from data, in a tomographic mindset,


- They can be average-case hard to contract,


hence identifying a first type of problem that is provably average-case hard to quantum many-body physics.

- And they seem to provide new insights into an understanding of holographic models,


News from Oct 01, 2018

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