sf.apps.sample.sample¶
-
sample
(A, n_mean, n_samples=1, threshold=True, loss=0.0)[source]¶ Generate simulated samples from GBS encoded with a symmetric matrix \(A\).
Example usage:
>>> g = nx.erdos_renyi_graph(5, 0.7) >>> a = nx.to_numpy_array(g) >>> sample(a, 3, 4) [[1, 1, 1, 1, 1], [1, 1, 0, 1, 1], [0, 0, 0, 0, 0], [1, 0, 0, 0, 1]]
- Parameters
A (array) – the symmetric matrix to sample from
n_mean (float) – mean photon number
n_samples (int) – number of samples
threshold (bool) – perform GBS with threshold detectors if
True
or photon-number resolving detectors ifFalse
loss (float) – fraction of generated photons that are lost while passing through device. Parameter should range from
loss=0
(ideal noise-free GBS) toloss=1
.
- Returns
a list of samples from GBS with respect to the input symmetric matrix
- Return type
list[list[int]]
code/api/strawberryfields.apps.sample.sample
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