-
You use the Wigner D matrix to project polarisation to a quantisation axis. The entries of this matrix can be found here:
https://github.com/JQIamo/pylcp/blob/53885b54b9b81ee63415bb25236d8aecd875db…
-
## Efficient Classical Weak Simulation of Quantum Circuits with Positive Discrete Wigner Representation
_Hi, Andrew! Hope this catches your interest._
_@krastanov, pinging in case you’d like to …
-
**Describe the bug**
From my understanding, the Wigner D matrix should be identical to the input matrix R when the irreducible representation is '1o'. However, when I use the function irreps_test = o…
YKQ98 updated
8 months ago
-
Hi, thanks for your wonderful work and code! I am new to the equivariant learning area, and I am trying to understand each step of your code. I suspect [this function](https://github.com/atomicarchite…
-
```
def transform_shs(shs_feat, rotation_matrix):
## rotate shs
P = torch.tensor([[0, 0, 1], [1, 0, 0], [0, 1, 0]]).float().to('cuda') # switch axes: yzx -> xyz
permuted_rotation_mat…
-
For the pairwise expansion, I don't see the transformation over rotations via the wigner d matrix explicitly implemented within the code (eqn 7 in the preprint). Is this something that's implicitly be…
-
Here's a function I wrote and used a couple of years ago
```
def Wignerd(theta, j, m1, m2) :
"""
Calculate Wigner small-d function. Needs sympy.
theta : angle
j : spin (in units of…
-
## Idea: the format of the output of rascaline.torch.LodeSphericalExpansion() is aligned with e3nn:
I am interested in combining rascaline.torch.LodeSphericalExpansion() with e3nn(https://github.com/…
-
@ElisR picking up our previous discussion here.
### Problem
It seems that you would like to efficiently evaluate the inverse Wigner transforms for L = N = 64? Are you interested in pushing this t…
-
@mariogeiger In your provided MNIST example, running S2CNN encounters the following problem about lie_learn module.
```python
Traceback (most recent call last):
File "", line 983, in _find_and_l…