Update deprecated function names from TW (#472)

* Update deprecated name from TW

* update changelog

Co-authored-by: Josh Izaac <josh146@gmail.com>

.github/CHANGELOG.md

@@ -94,8 +94,6 @@
   `cancel_pending` JobStatus until the cancellation is confirmed.
   [(#456)](https://github.com/XanaduAI/strawberryfields/pull/456)
 
-<h3>Breaking Changes</h3>
-
 <h3>Bug fixes</h3>
 
 * Fixed a bug where the function `reduced_dm` in `backends/tfbackend/states.py` gives the
@@ -111,6 +109,10 @@
   incorrect results on NumPy 1.19.
   [(#473)](https://github.com/XanaduAI/strawberryfields/pull/473)
 
+* The Walrus version 0.14 introduced modified function names. Affected functions have been updated
+  in Strawberry Fields to avoid deprecation warnings.
+  [(#472)](https://github.com/XanaduAI/strawberryfields/pull/472)
+
 <h3>Documentation</h3>
 
 * Adds further testing and coverage descriptions to the developer documentation.

doc/code/sf_decompositions.rst

@@ -15,4 +15,4 @@ sf.decompositions
 .. automodapi:: strawberryfields.decompositions
     :no-heading:
     :include-all-objects:
-    :skip: block_diag, sqrtm, polar, schur, sympmat, changebasis, find_scaling_adjacency_matrix
+    :skip: block_diag, sqrtm, polar, schur, sympmat, changebasis, adj_scaling

requirements.txt

@@ -7,7 +7,7 @@ tensorboard>=2.0
 networkx>=2.0
 quantum-blackbird==0.2.3
 python-dateutil==2.8.0
-thewalrus>=0.13.0
+thewalrus>=0.14.0
 toml
 appdirs
 numba>=0.48.0

setup.py

@@ -28,7 +28,7 @@
     "networkx>=2.0",
     "quantum-blackbird>=0.2.3",
     "python-dateutil>=2.8.0",
-    "thewalrus>=0.13.0",
+    "thewalrus>=0.14.0",
     "numba",
     "toml",
     "appdirs",

strawberryfields/apps/train/param.py

@@ -22,8 +22,8 @@
 from thewalrus._hafnian import reduction
 from thewalrus._torontonian import tor
 from thewalrus.quantum import Qmat
-from thewalrus.quantum import find_scaling_adjacency_matrix as rescale
-from thewalrus.quantum import find_scaling_adjacency_matrix_torontonian as rescale_tor
+from thewalrus.quantum import adj_scaling as rescale
+from thewalrus.quantum import adj_scaling_torontonian as rescale_tor
 from thewalrus.quantum import photon_number_mean_vector, pure_state_amplitude
 
 import strawberryfields as sf

strawberryfields/decompositions.py

@@ -20,7 +20,7 @@
 
 import numpy as np
 from scipy.linalg import block_diag, sqrtm, polar, schur
-from thewalrus.quantum import find_scaling_adjacency_matrix
+from thewalrus.quantum import adj_scaling
 
 from .backends.shared_ops import sympmat, changebasis
 
@@ -182,7 +182,7 @@ def graph_embed(A, mean_photon_per_mode=1.0, make_traceless=False, rtol=1e-05, a
     if make_traceless:
         A = A - np.trace(A) * np.identity(n) / n
 
-    scale = find_scaling_adjacency_matrix(A, n * mean_photon_per_mode)
+    scale = adj_scaling(A, n * mean_photon_per_mode)
     A = scale * A
     s, U = takagi(A, tol=atol)
     vals = -np.arctanh(s)
@@ -216,7 +216,7 @@ def bipartite_graph_embed(A, mean_photon_per_mode=1.0, rtol=1e-05, atol=1e-08):
         raise ValueError("The matrix is not square.")
 
     B = np.block([[0 * A, A], [A.T, 0 * A]])
-    scale = find_scaling_adjacency_matrix(B, 2 * n * mean_photon_per_mode)
+    scale = adj_scaling(B, 2 * n * mean_photon_per_mode)
     A = scale * A
 
     if np.allclose(A, A.T, rtol=rtol, atol=atol):

tests/apps/train/test_param.py

@@ -20,8 +20,8 @@
 import numpy as np
 import pytest
 import thewalrus
-from thewalrus.quantum import find_scaling_adjacency_matrix as rescale
-from thewalrus.quantum import find_scaling_adjacency_matrix_torontonian as rescale_tor
+from thewalrus.quantum import adj_scaling as rescale
+from thewalrus.quantum import adj_scaling_torontonian as rescale_tor
 
 from strawberryfields.apps import train
 from strawberryfields.apps.train.embed import Exp