Increment the version number to v0.15 (and update changelog) (#236)

* update changelog * update * add threshold detection to docs Co-authored-by: Nicolas Quesada <[email protected]> Co-authored-by: Josh Izaac <[email protected]>
XanaduAI · Apr 23, 2021 · e0f2ace · e0f2ace
1 parent 185afcc
commit e0f2ace
Show file tree

Hide file tree

Showing 5 changed files with 30 additions and 19 deletions.
diff --git a/.github/CHANGELOG.md b/.github/CHANGELOG.md
@@ -1,15 +1,14 @@
-# Version 0.15.0-dev
+# Version 0.15.0
 
 ### New features
 
 * Adds the function `random_banded_interferometer` to generate unitary matrices with a given bandwidth. [#208](https://github.com/XanaduAI/thewalrus/pull/208)
 
 * Adds the function `tvd_cutoff_bounds` to calculate bounds in the total variation distance between a Fock-truncated and an ideal GBS distribution. [#210](https://github.com/XanaduAI/thewalrus/pull/210)
 
-* Adds function for calculating threshold detection probabilities for Gaussian states with displacement
-  [#220](https://github.com/XanaduAI/thewalrus/pull/220)
+* Adds function for calculating threshold detection probabilities for Gaussian states with displacement. [#220](https://github.com/XanaduAI/thewalrus/pull/220)
 
-* Adds new functions `total_photon_number_distribution` and `characteristic_function` to study properties of the total photon number distribution of a `k` identical lossy squeezers. [#230](https://github.com/XanaduAI/thewalrus/pull/230/)
+* Adds new functions `total_photon_number_distribution` and `characteristic_function` to study properties of the total photon number distribution of a `k` identical lossy squeezers. [#230](https://github.com/XanaduAI/thewalrus/pull/230)
 
 * Adds new functions `xxpp_to_xpxp` and `xpxp_to_xxpp` in the `symplectic` module to swap the ordering of the quadrature operators in vectors and matrices. [#237](https://github.com/XanaduAI/thewalrus/pull/237/)
 
@@ -20,14 +19,16 @@
 
 * Refactors `setup.py` to avoid issues with `CFLAGS`. [#229](https://github.com/XanaduAI/thewalrus/pull/229)
 
+* The `fidelity` function in `quantum/gaussian_checks.py` is rewritten to add clarity. [#226](https://github.com/XanaduAI/thewalrus/pull/226)
+
+* Simplifies logic of `normal_ordered_expectation` by removing mutually cancelling `np.conj`. [#228](https://github.com/XanaduAI/thewalrus/pull/228)
+
 ### Bug fixes
 
 * Removes unnecessary `np.real_if_close` statements in `quantum/fock_tensors.py` causing the `probabilities` to not be normalized. [#215](https://github.com/XanaduAI/thewalrus/pull/215)
 
 * Fixes the prefactor in `pure_state_amplitude`. [#231](https://github.com/XanaduAI/thewalrus/pull/231)
 
-### Breaking changes
-
 ### Contributors
 
 This release contains contributions from (in alphabetical order):

diff --git a/docs/xanadu_theme/layout.html b/docs/xanadu_theme/layout.html
@@ -3,6 +3,7 @@
 {# Do this so that bootstrap is included before the main css file #}
 {%- block htmltitle %}
   <link href="https://fonts.googleapis.com/css?family=Noto+Serif" rel="stylesheet">
+  <link href="https://fonts.googleapis.com/css?family=Noto+Sans" rel="stylesheet">
   <link href="https://fonts.googleapis.com/css?family=Roboto&display=swap" rel="stylesheet">
 
   <!-- Font Awesome -->

diff --git a/docs/xanadu_theme/static/xanadu.css_t b/docs/xanadu_theme/static/xanadu.css_t
@@ -1,13 +1,5 @@
 /* Sphinx themes
 -------------------------------------------------- */
-@font-face {
-  font-family: 'Product Sans';
-  font-style: normal;
-  font-weight: 400;
-  src: local('Open Sans'), local('OpenSans'), url(https://fonts.gstatic.com/s/productsans/v5/HYvgU2fE2nRJvZ5JFAumwegdm0LZdjqr5-oayXSOefg.woff2) format('woff2');
-}
-
-
 
 body {
   /*background-color: #edf0f2;*/
@@ -105,7 +97,7 @@ h1, h2, h3, h4, h5, h6 {
   color: black;
   font-weight: normal;
   padding: 0;
-  font-family: 'Product Sans', 'Roboto', sans-serif!important;
+  font-family: 'Noto Sans', 'Roboto', sans-serif!important;
 }
 
 h1, h2, h3 {
@@ -384,7 +376,7 @@ div.sphinxsidebar p {
   margin: 20px 0px 10px 21px;
   font-weight: normal;
   padding: 0;
-  font-family: 'Product Sans', 'Roboto', sans-serif!important;
+  font-family: 'Noto Sans', 'Roboto', sans-serif!important;
   font-size: 24px;
   color: #515151;
   /*text-align: center;*/
@@ -2064,7 +2056,7 @@ footer.page-footer .footer-copyright {
     margin-left: 20px;
     font-size: initial;
     color: black;
-    font-family: 'Product Sans', 'Roboto', sans-serif !important;
+    font-family: 'Noto Sans', 'Roboto', sans-serif !important;
     margin-bottom: -9px;
     border-bottom: 3px solid;
     border-bottom-color: white;

diff --git a/thewalrus/_version.py b/thewalrus/_version.py
@@ -16,4 +16,4 @@
    Version number (major.minor.patch[-label])
 """
 
-__version__ = "0.15.0-dev"
+__version__ = "0.15.0"
diff --git a/thewalrus/samples.py b/thewalrus/samples.py
@@ -39,6 +39,8 @@
     torontonian_sample_state
     torontonian_sample_graph
     torontonian_sample_classical_state
+    threshold_detection_prob
+    threshold_detection_prob_displacement
 
 Brute force sampling
 --------------------
@@ -55,7 +57,7 @@
 from scipy.special import factorial as fac
 
 from ._hafnian import hafnian, reduction
-from ._torontonian import tor
+from ._torontonian import tor, threshold_detection_prob, threshold_detection_prob_displacement
 from .quantum import (
     Amat,
     Covmat,
@@ -67,6 +69,21 @@
     density_matrix_element,
 )
 
+__all__ = [
+    "generate_hafnian_sample",
+    "hafnian_sample_state",
+    "hafnian_sample_graph",
+    "hafnian_sample_classical_state",
+    "hafnian_sample_graph_rank_one",
+    "generate_torontonian_sample",
+    "torontonian_sample_state",
+    "torontonian_sample_graph",
+    "torontonian_sample_classical_state",
+    "threshold_detection_prob",
+    "threshold_detection_prob_displacement",
+    "photon_number_sampler",
+]
+
 # ===============================================================================================
 # Hafnian sampling
 # ===============================================================================================