diff --git a/.pylintdict b/.pylintdict index 93f3ff0709..140ee7f3eb 100644 --- a/.pylintdict +++ b/.pylintdict @@ -17,6 +17,7 @@ autosummary avogadro backend barkoutsos +bb bergholm berlin bitstring @@ -351,6 +352,7 @@ uncompiled unitaries untransforms uvcc +vals variational vibrational vibrationalop diff --git a/docs/_templates/autosummary/class.rst b/docs/_templates/autosummary/class.rst index e4d661a008..66bccd1748 100644 --- a/docs/_templates/autosummary/class.rst +++ b/docs/_templates/autosummary/class.rst @@ -8,6 +8,7 @@ .. currentmodule:: {{ module }} .. autoclass:: {{ objname }} + :show-inheritance: :no-members: :no-inherited-members: :no-special-members: @@ -20,9 +21,11 @@ .. autosummary:: :toctree: ../stubs/ {% for item in all_attributes %} - {%- if not item.startswith('_') %} - {{ name }}.{{ item }} - {%- endif -%} + {%- if item not in inherited_members %} + {%- if not item.startswith('_') %} + ~{{ name }}.{{ item }} + {%- endif -%} + {%- endif %} {%- endfor %} {% endif %} {% endblock %} @@ -35,14 +38,11 @@ .. autosummary:: :toctree: ../stubs/ {% for item in all_methods %} - {%- if not item.startswith('_') or item in ['__call__', '__mul__', '__getitem__', '__len__'] %} - {{ name }}.{{ item }} - {%- endif -%} - {%- endfor %} - {% for item in inherited_members %} - {%- if item in ['__call__', '__mul__', '__getitem__', '__len__'] %} - {{ name }}.{{ item }} - {%- endif -%} + {%- if item not in inherited_members %} + {%- if not item.startswith('_') or item in ['__call__', '__mul__', '__getitem__', '__len__'] %} + ~{{ name }}.{{ item }} + {%- endif -%} + {%- endif %} {%- endfor %} {% endif %} diff --git a/docs/tutorials/05_Sampling_potential_energy_surfaces.ipynb b/docs/tutorials/05_Sampling_potential_energy_surfaces.ipynb index e4ab7c9308..7c48618fb6 100644 --- a/docs/tutorials/05_Sampling_potential_energy_surfaces.ipynb +++ b/docs/tutorials/05_Sampling_potential_energy_surfaces.ipynb @@ -18,7 +18,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -124,7 +124,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Calculate bond dissociation profile using BOPES Sampler\n", + "## Calculate bond dissociation profile using BOPES Sampler\n", "\n", "Here, we pass the molecular information and the VQE to a built-in type called the BOPES Sampler. The BOPES Sampler allows the computation of the potential energy surface for a specified set of degrees of freedom/points of interest." ] @@ -133,7 +133,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## First we compare no bootstrapping vs bootstrapping \n", + "### First we compare no bootstrapping vs bootstrapping \n", "\n", "Bootstrapping the BOPES sampler involves utilizing the optimal variational parameters for a given degree of freedom, say r (ex. interatomic distance) as the initial point for VQE at a later degree of freedom, say r + $\\epsilon$. By default, if boostrapping is set to True, all previous optimal parameters are used as initial points for the next runs." ] @@ -196,7 +196,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Compare to classical eigensolver\n" + "## Compare to classical eigensolver\n" ] }, { @@ -224,7 +224,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Plot results" + "### Plot results" ] }, { @@ -244,7 +244,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -270,7 +270,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Compare number of evaluations" + "## Compare number of evaluations" ] }, { @@ -284,14 +284,24 @@ "text": [ "no bootstrapping\n", "Total evaluations for no bootstrapping:\n", - "19816\n", + "19786\n", "bootstrapping\n", "Total evaluations for bootstrapping:\n", - "4710\n", + "4342\n", "np\n", "Total evaluations for np:\n", "0\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:6: SyntaxWarning: \"is not\" with a literal. Did you mean \"!=\"?\n", + "<>:6: SyntaxWarning: \"is not\" with a literal. Did you mean \"!=\"?\n", + ":6: SyntaxWarning: \"is not\" with a literal. Did you mean \"!=\"?\n", + " if condition is not 'np':\n" + ] } ], "source": [ @@ -311,7 +321,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Extrapolation \n", + "## Extrapolation \n", "\n", "Here, an extrapolator added that will try to fit each (param,point) set to some specified function and suggest an initial parameter set for the next point (degree of freedom). \n", "\n", @@ -336,7 +346,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Here we test two different extrapolation techniques" + "### Here we test two different extrapolation techniques" ] }, { @@ -373,7 +383,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Plot results" + "### Plot results" ] }, { @@ -401,7 +411,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -430,7 +440,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Compare number of evaluations" + "## Compare number of evaluations" ] }, { @@ -444,19 +454,29 @@ "text": [ "no bootstrapping\n", "Total evaluations for no bootstrapping:\n", - "19816\n", + "19786\n", "bootstrapping\n", "Total evaluations for bootstrapping:\n", - "4710\n", + "4342\n", "np\n", "Total evaluations for np:\n", "0\n", "poly\n", "Total evaluations for poly:\n", - "1499\n", + "1389\n", "diff_model\n", "Total evaluations for diff_model:\n", - "1757\n" + "3133\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:6: SyntaxWarning: \"is not\" with a literal. Did you mean \"!=\"?\n", + "<>:6: SyntaxWarning: \"is not\" with a literal. Did you mean \"!=\"?\n", + ":6: SyntaxWarning: \"is not\" with a literal. Did you mean \"!=\"?\n", + " if condition is not 'np':\n" ] } ], @@ -481,8 +501,8 @@ { "data": { "text/html": [ - "

Version Information

Qiskit SoftwareVersion
Qiskit0.24.1
Terra0.17.0.dev0+bcbc13c
Aer0.7.6
Ignis0.5.2
AquaNone
IBM Q Provider0.12.2
System information
Python3.7.10 (default, Feb 26 2021, 10:16:00) \n", - "[Clang 10.0.0 ]
OSDarwin
CPUs4
Memory (Gb)16.0
Thu Apr 01 17:30:15 2021 CEST
" + "

Version Information

Qiskit SoftwareVersion
QiskitNone
Terra0.18.0.dev0+f8f82b2
Aer0.9.0
Ignis0.7.0.dev0+8195559
AquaNone
IBM Q Provider0.14.0.dev0+436e42e
System information
Python3.8.8 (default, Apr 13 2021, 12:59:45) \n", + "[Clang 10.0.0 ]
OSDarwin
CPUs2
Memory (Gb)12.0
Fri Jun 11 18:34:48 2021 EDT
" ], "text/plain": [ "" @@ -527,7 +547,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.8.8" } }, "nbformat": 4,