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A nice feature would be to able to manually specify which variables are known to be decoupled or if there is rotational / translational symmetry in the problem and then learn a relative model.
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Currently, we use an LU factorization for the `BBMBBMEquations1D` and `BBMBBMVariableEquations1D` although the matrix is spd, which means we could use a Cholesky decomposition. We did this because `ld…
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#### Issue description
The following code does not work (NB: the `-1` factor in `ops`).
```python
ops = [-1 * qml.Z(0) @ qml.Z(1)]
coeffs = [1.]
reg = qml.registers({"physical": 2, "prep": …
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### 🚀 The feature, motivation and pitch
I am working on a problem whose solution needs to run QR decomposition of matrices. The matrices involved in the problem are huge but sparse, which end up occu…
arajv updated
2 weeks ago
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Hi,
I'm curious if FeAmGen.jl actually supports tensor reduction of loop integrals and whether it can do partial fraction decomposition for cases where the propagator basis is overdetermined?
Ch…
vsht updated
2 months ago
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Have you considered a version of CoACD that uses pure tetrahedral decomposition? Tets are, after all, the quintessential convex mesh 🙂.
Tetrahedral meshes have a strong Finite Element theory suppor…
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## Bug Description
The input and src tensor can be on cpu but the index tensor is being casted to gpu:0 and this results in src and index tensor are on different devices issue. Cast it to the same…
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See:
https://www.nature.com/articles/s41467-018-05845-7
(no pressure! and not very deep knowledge of these methods on my part, I'm just noting potential algorithms that are missing here as I resea…
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There are several related issues about various tensor decompositions. I will create several issues, but I will write some general guidelines here.
**Proposed guideline**: If we provide a tensor dec…
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### Reason/inspiration (optional)
We would like a new entry on the `Cross Decomposition` concept under Sklearn. The entry should go in a new file under `docs/content/sklearn/concepts/cross-decomposit…