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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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Hi Fredrik,
I saw that in arb library there is already the implementation under arb_mat, arb_mat_mul_entrywise function. Is there anyway for you to port it over to the python-flint wrapper as well? I…
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### Describe your issue.
Hello, when using the csr matrix dot product function, the resulting array data is no longer in csr matrix form. For example if I run (the following was done using scipy ver…
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The sequential MPS preparation algorithm of Schön et al. ([arXiv:quant-ph/0501096](https://arxiv.org/abs/quant-ph/0501096)) would be a valuable addition to Qualtran, providing a leading state preparat…
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### Required prerequisites
- [X] Search the [issue tracker](https://github.com/NVIDIA/cuda-quantum/issues) to check if your feature has already been mentioned or rejected in other issues.
### Descri…
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In [here](https://github.com/kokkos/stdBLAS/blob/main/include/experimental/__p1673_bits/blas2_matrix_vector_product.hpp#L442) the lines [starting at 442](https://github.com/kokkos/stdBLAS/blob/60ecb00…
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Any efficient linear algebra library requires fast matrix-matrix products. The Rust ndarray project uses the matrixmultiply library https://github.com/bluss/matrixmultiply, which uses the same ideas o…
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From [here](https://github.com/sagemath/sage/issues/38524#issuecomment-2295363163):
```sage
sage: L = IntegralLattice(matrix([[1000,0],[0,1]]))
sage: v = L.0; v
(1, 0)
sage: v.parent()
Lattice…
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### Is your feature request related to a problem? Please describe.
I am not sure if I am doing something wrong but I am using scipy.sparse.csr_matrix object and contract it with a np.ndarray object…
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This may be more question than issue.
I understand why post-sparsifying might be the best route to making the matrix-matrix product sparse. But, in the regular product, why not leave out the eleme…