Adam Lewis

Add sparse linalg to Jax?

1

Hi all, Per the conversation in https://github.com/google/jax/pull/4025 the Jax devs are interested in supporting at least some of the sparse linalg operations we've spent so much time on. Thus we...

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...

Numpy decompositions tests

2

The tests in backends/numpy/decomposition_tests.py only test one dtype and pivot axis. Probably this should not be so.

vuMPS

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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...

We should add an implementation of the CGM linear solver, which is provably optimal for symmetric systems. NumPy and Jax both have implementations of this already, although I don't think...

We should add an implementation of the LGMRES sparse linear solver, which outperforms GMRES in most cases, especially for nearly symmetric operators.

It seems to me that we should support integer and perhaps boolean operations as much as possible due to their ubiquity in machine learning applications. Currently I think most of...

PEPS

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The major remaining v1.0 roadblock is a functioning PEPS example that runs acceptably on CPU NumPy and Jax. Let us get this done and discuss the issue here. Some time...

Array class

3

It seems there is widespread agreement that, in the longer term, `Node` is eventually to be replaced by or supplemented with some sort of "I can't believe it's not an...