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In Appendix A.3. of https://arxiv.org/pdf/1902.00462.pdf a formula is provided for fixing the mean number of clicks of a Gaussian state when measured with threshold detectors.
It would be good to add this feature into The Walrus.
The text was updated successfully, but these errors were encountered:
We can also now do torontonian sampling specifying the mean of number of clicks. For this we have two options:
Option 1: Change the function torontonian_sample_graph(A, n_mean, samples=1, max_photons=30, pool=False) from quantum so that the argument n_mean becomes n_clicks specifying the mean number of clicks instead of the mean photon number.
Option 2: Write a new function that does torontonian sampling from a graph and takes as argument n_clicks.
I prefer option 1 but it would require some reworking in the sf apps. What do @trbromley and @josh146 think?
In Appendix A.3. of https://arxiv.org/pdf/1902.00462.pdf a formula is provided for fixing the mean number of clicks of a Gaussian state when measured with threshold detectors.
It would be good to add this feature into The Walrus.
The text was updated successfully, but these errors were encountered: