TensorNetwork
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A library for easy and efficient manipulation of tensor networks.
Currently Tensor does not explicitly support the Symmetric backend. We should think about how to add such support. - There's an argument to be made that symmetric tensors differ significantly...
Not sure how hard would this be, but it would be nice to have methods to calculate 3- and higher-order body expectation values in a matrix product state.
The MPS class should support sampling and computing logprobs (both finite and infinite). We should implement this at least for the numpy and JAX backends.
We should check how eigs performs on CPU and GPU as compared to ARPACK
The tests in backends/numpy/decomposition_tests.py only test one dtype and pivot axis. Probably this should not be so.
vuMPS
I'm now just one or two merges away from being able to start committing the example vuMPS code to the experimental_ncon branch, from which point on the latter will be...