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D. O. Rybalka
> In this paper we present a short overview of the new Wolfram Mathematica package intended for elementary "in-basis" tensor and differential-geometric calculations. In contrast to al…
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# `Index` tags redesign proposal
This is a proposal for a redesign of the `Index` object, specifically related to tags.
There are a few things that bother me about the design of `Index` tags:
1…
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Hi,
I used TACO for tensor contraction following the "Library Example" shown on the official page https://github.com/tensor-compiler/taco. I found that the final results generated by TACO are incor…
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I see error messages when contracting tensors that are of type `complex double (C8)` on AMD GPUs.
```
#MESSAGE: Printing TAL-SH task info:
Device kind -1: Error 106
#END OF MESSAGE
```
I co…
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Let’s support `Eq`, `tensor_cross`, $\nabla$ symbol in `Eq` and `component()` method. Furthermore, allow the user to express the equation in *compact* (tensor symbol) form or *component* form, *e.g.* …
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After a tensor contraction, the resulting tensor from `numpy.einsum` is C-contiguous, and in `opt_einsum`, such properties may be lost. If there is a further tensor addition, the non-contiguous array …
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There are various ways of doing so... a straightforward one would be to parallelize some of the computations with open mp.
There are also ways of optimizing the execution of some gates.
qiskit aer…
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Inputs to tensor contraction expressions can be reshaped/permutdims-ed into matrices and the output can be computed with a call to `BLAS.gemm!`. This is 10-100x faster but uses more memory. TensorOper…
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# Feature Request
**Describe the Feature Request**
Tensor contraction over specified indices and outer product.
Here is a full description of Einsum in ONNX:
https://github.com/onnx/onnx/bl…
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Hi,
I have a few questions, regarding how to batch tensors.
In my program, tensor contractions are batched in chunks, similarly to how it is done in CP2K, [here](https://github.com/cp2k/cp2k/blob/…