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We should use the `COO` sparse format when we construct a sparse matrix in several steps (add each transition at a time). In the `COO` format (see `SparseMatrixCOO` from [LuxurySparse.jl](https://gith…
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Energy dispersion is a better format for storage, as it is less sparse, but for actual computations, one needs energy migration.
We should have a function that transforms the energy dispersion matr…
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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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I am trying to use this library with a third party C library, but I need to carry some additional context to perform the computations.
My issue boils down to how do I integrate library calls like:
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> Fast Numba-enabled CPU and GPU computations of Earth Mover's (scipy.stats.wasserstein_distance) and Euclidean distances.
https://github.com/sparks-baird/dist-matrix
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### What:
Reprojection of an image involves estimating a correction and applying a real-world scaling to the image by tracing the path of light rays. This process adjusts for distortions and ensure…
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A new, interesting quantization scheme was published, which not only reduces memory consumption (like current quantization schemes), but als reduces computations.
> **[QuaRot: Outlier-Free 4-Bit In…
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The gaussian mixture model computations from mean and covariance matrix (obtained from feature's of model - nn.feature), is constantly throwing the error that covariance matrix is not positive defini…
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### 🚀 The feature, motivation and pitch
DTW is a crucial algorithm for measuring similarity between temporal sequences, but its computational complexity can be a bottleneck, particularly with large…
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Is there a function or a way to extract a scalar as a floating point number for further linear algebra computations? For instance, if I have a diagonal matrix [2.3v 0.0v; 0.0v 2.3v], is there a way to…