diff --git a/doc/Makefile b/doc/Makefile
new file mode 100644
index 0000000..a0f4066
--- /dev/null
+++ b/doc/Makefile
@@ -0,0 +1,23 @@
+# Minimal makefile for Sphinx documentation
+#
+
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS ?=
+SPHINXBUILD ?= sphinx-build
+SOURCEDIR = source
+BUILDDIR = build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+ @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+ @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+view: html
+ $(BROWSER) build/html/index.html
diff --git a/doc/source/_static/css/style.css b/doc/source/_static/css/style.css
new file mode 100644
index 0000000..46c934c
--- /dev/null
+++ b/doc/source/_static/css/style.css
@@ -0,0 +1,7 @@
+.wy-side-nav-search {
+ background-color: #6400FF;
+}
+
+.wy-nav-top {
+ background-color: #6400FF;
+}
diff --git a/doc/source/_static/qibo_logo_dark.svg b/doc/source/_static/qibo_logo_dark.svg
new file mode 100644
index 0000000..3b7dc40
--- /dev/null
+++ b/doc/source/_static/qibo_logo_dark.svg
@@ -0,0 +1,121 @@
+
+
diff --git a/doc/source/_static/qibo_logo_light.svg b/doc/source/_static/qibo_logo_light.svg
new file mode 100644
index 0000000..bb907e7
--- /dev/null
+++ b/doc/source/_static/qibo_logo_light.svg
@@ -0,0 +1,80 @@
+
+
diff --git a/doc/source/api-reference/qiboml.backends.rst b/doc/source/api-reference/qiboml.backends.rst
new file mode 100644
index 0000000..67adf3e
--- /dev/null
+++ b/doc/source/api-reference/qiboml.backends.rst
@@ -0,0 +1,34 @@
+qiboml.backends package
+=======================
+
+.. automodule:: qiboml.backends
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+Submodules
+----------
+
+qiboml.backends.jax module
+--------------------------
+
+.. automodule:: qiboml.backends.jax
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+qiboml.backends.pytorch module
+------------------------------
+
+.. automodule:: qiboml.backends.pytorch
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+qiboml.backends.tensorflow module
+---------------------------------
+
+.. automodule:: qiboml.backends.tensorflow
+ :members:
+ :undoc-members:
+ :show-inheritance:
diff --git a/doc/source/api-reference/qiboml.rst b/doc/source/api-reference/qiboml.rst
new file mode 100644
index 0000000..32766fd
--- /dev/null
+++ b/doc/source/api-reference/qiboml.rst
@@ -0,0 +1,15 @@
+qiboml package
+==============
+
+.. automodule:: qiboml
+ :members:
+ :undoc-members:
+ :show-inheritance:
+
+Subpackages
+-----------
+
+.. toctree::
+ :maxdepth: 4
+
+ qiboml.backends
diff --git a/doc/source/conf.py b/doc/source/conf.py
new file mode 100644
index 0000000..dde5944
--- /dev/null
+++ b/doc/source/conf.py
@@ -0,0 +1,150 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# This file only contains a selection of the most common options. For a full
+# list see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+import os
+from pathlib import Path
+
+from recommonmark.transform import AutoStructify
+from sphinx.ext import apidoc
+
+import qiboml
+
+# -- Project information -----------------------------------------------------
+
+project = "qiboml"
+copyright = "2024, The Qibo team"
+author = "The Qibo team"
+
+release = qiboml.__version__
+
+
+# -- General configuration ---------------------------------------------------
+
+# https://stackoverflow.com/questions/56336234/build-fail-sphinx-error-contents-rst-not-found
+# master_doc = "index"
+
+autodoc_mock_imports = ["qm"]
+autodoc_default_options = {
+ "members": True,
+ "undoc-members": True,
+ "private-members": True,
+ "inherited-members": True,
+ "exclude-members": "load, execution_parameters, classify",
+}
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+ "sphinx.ext.autodoc",
+ "sphinx.ext.doctest",
+ "sphinx.ext.coverage",
+ "sphinx.ext.napoleon",
+ "sphinx.ext.intersphinx",
+ "recommonmark",
+ "sphinx.ext.viewcode",
+ "sphinx.ext.todo",
+ "sphinx_copybutton",
+ "sphinxcontrib.bibtex",
+]
+
+bibtex_bibfiles = ["refs.bib"]
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ["_templates"]
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This pattern also affects html_static_path and html_extra_path.
+exclude_patterns = []
+
+
+# -- Options for HTML output -------------------------------------------------
+
+# The theme to use for HTML and HTML Help pages. See the documentation for
+# a list of builtin themes.
+
+html_theme = "furo"
+html_favicon = "favicon.ico"
+
+# custom title
+html_title = "Qiboml · v" + release
+
+html_theme_options = {
+ "top_of_page_button": "edit",
+ "source_repository": "https://github.com/qiboteam/qiboml/",
+ "source_branch": "main",
+ "source_directory": "doc/source/",
+ "light_logo": "qibo_logo_dark.svg",
+ "dark_logo": "qibo_logo_light.svg",
+ "light_css_variables": {
+ "color-brand-primary": "#6400FF",
+ "color-brand-secondary": "#6400FF",
+ "color-brand-content": "#6400FF",
+ },
+ "footer_icons": [
+ {
+ "name": "GitHub",
+ "url": "https://github.com/qiboteam/qiboml",
+ "html": """
+
+ """,
+ "class": "",
+ },
+ ],
+}
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ["_static"]
+
+
+# -- Intersphinx -------------------------------------------------------------
+
+intersphinx_mapping = {"python": ("https://docs.python.org/3", None)}
+
+
+# -- Doctest ------------------------------------------------------------------
+#
+
+doctest_path = [os.path.abspath("../examples")]
+
+# -- Autodoc ------------------------------------------------------------------
+#
+autodoc_member_order = "bysource"
+
+
+# Adapted this from
+# https://github.com/readthedocs/recommonmark/blob/ddd56e7717e9745f11300059e4268e204138a6b1/docs/conf.py
+# app setup hook
+
+
+def run_apidoc(_):
+ """Extract autodoc directives from package structure."""
+ source = Path(__file__).parent
+ docs_dest = source / "api-reference"
+ package = source.parents[1] / "src" / "qiboml"
+ apidoc.main(["--no-toc", "--module-first", "-o", str(docs_dest), str(package)])
+
+
+def setup(app):
+ app.add_config_value("recommonmark_config", {"enable_eval_rst": True}, True)
+ app.add_transform(AutoStructify)
+ app.add_css_file("css/style.css")
+
+ app.connect("builder-inited", run_apidoc)
+
+
+html_show_sourcelink = False
diff --git a/doc/source/favicon.ico b/doc/source/favicon.ico
new file mode 100644
index 0000000..62c493a
Binary files /dev/null and b/doc/source/favicon.ico differ
diff --git a/doc/source/getting-started/construct_backends.rst b/doc/source/getting-started/construct_backends.rst
new file mode 100644
index 0000000..ee5c1d9
--- /dev/null
+++ b/doc/source/getting-started/construct_backends.rst
@@ -0,0 +1,41 @@
+Setup a quantum machine learning backend
+========================================
+
+Among other features, Qiboml is a backend provider for Qibo. In particular, it can
+be used to construct differentiable backends to execute quantum machine learning
+algorithms. Currently, we support Tensorflow automatic differentiation, while
+Pytorch and Jax backends will be implemented in the next future.
+
+To run a quantum algorithm in Qibo activating the tracing of gradients it is important
+to set one of the backends provided by Qiboml.
+
+.. code-block::
+
+ import qibo
+ from qibo import Circuit, gates, hamiltonians
+
+ # set the backend using qiboml as provider
+ qibo.set_backend(backend="qiboml", platform="tensorflow")
+ tf = qibo.get_backend().tf
+
+ # define some variables
+ thetas = tf.Variable([0.4, 0.7])
+
+ # construct a quantum circuit with Qibo
+ c = Circuit(1)
+ c.add(gates.H(q=0))
+ c.add(gates.RZ(q=0, theta=0.))
+ c.add(gates.RY(q=0, theta=0.))
+
+ # construct an hamiltonian with Qibo
+ h = hamiltonians.Z(nqubits=1)
+
+ # automatic differentiation with tensorflow
+ with tf.GradientTape() as tape:
+ # set the variables w.r.t. we want the gradient into the circuit
+ c.set_parameters(thetas)
+ # compute an expectation value
+ expval = h.expectation(c().state())
+
+ # collect gradient
+ grad = tape.gradient(expval, thetas)
diff --git a/doc/source/getting-started/index.rst b/doc/source/getting-started/index.rst
new file mode 100644
index 0000000..aae5b7a
--- /dev/null
+++ b/doc/source/getting-started/index.rst
@@ -0,0 +1,11 @@
+Getting started
+===============
+
+In this section we present the basic aspects of the Qiboml design and provide installation instructions.
+Please visit the following sections to understand how ``qiboml`` works.
+
+.. toctree::
+ :maxdepth: 1
+
+ installation
+ construct_backends
diff --git a/doc/source/getting-started/installation.rst b/doc/source/getting-started/installation.rst
new file mode 100644
index 0000000..377e2c0
--- /dev/null
+++ b/doc/source/getting-started/installation.rst
@@ -0,0 +1,10 @@
+Installation instructions
+=========================
+
+Qiboml can be installed directly from the source repository on Github:
+
+.. code-block::
+
+ git clone https://github.com/qiboteam/qiboml.git
+ cd qiboml
+ poetry install
diff --git a/doc/source/index.rst b/doc/source/index.rst
new file mode 100644
index 0000000..c8f1e52
--- /dev/null
+++ b/doc/source/index.rst
@@ -0,0 +1,64 @@
+.. title::
+ Qiboml
+
+
+What is Qiboml?
+===============
+
+
+Qiboml is an open-source and full-stack quantum machine learning package based on Qibo.
+Among the goals of Qiboml we have:
+
+* provide automatic differentiable backends for any Qibo application;
+* render Qibo circuits as differentiable layers of well-known machine learning frameworks such as Tensorflow and Pytorch;
+* extend quantum machine learning algorithm execution to self-hosted devices through Qibolab;
+* integrate hardware-level routines into higher-level quantum machine learning algorithms through Qibocal.
+
+
+How to Use the Documentation
+============================
+
+Welcome to the comprehensive documentation for Qiboml!
+This guide will help you navigate through the various sections and make the most of the resources available.
+
+
+1. **Getting started**: Begin by referring to the
+ :doc:`/getting-started/installation/` guide to set up the ``Qiboml`` library in your environment.
+2. Learn how to setup a differentiable Qibo backend for quantum machine learning applications with
+ :doc:`/getting-started/construct_backends/` guide.
+
+Contents
+--------
+
+.. toctree::
+ :maxdepth: 2
+ :caption: Introduction
+
+ getting-started/index
+
+.. toctree::
+ :maxdepth: 1
+ :caption: Main documentation
+
+ api-reference/qiboml
+ Developer guides
+
+.. toctree::
+ :maxdepth: 1
+ :caption: Documentation links
+
+ Qibo docs
+ Qibolab docs
+ Qibocal docs
+ Qibosoq docs
+ Qibochem docs
+ Qiboml docs
+ Qibotn docs
+ Qibo-cloud-backends docs
+
+Indices and tables
+==================
+
+* :ref:`genindex`
+* :ref:`modindex`
+* :ref:`search`
diff --git a/doc/source/refs.bib b/doc/source/refs.bib
new file mode 100644
index 0000000..403900a
--- /dev/null
+++ b/doc/source/refs.bib
@@ -0,0 +1,12 @@
+@article{Efthymiou_2021,
+ title={Qibo: a framework for quantum simulation with hardware acceleration},
+ volume={7},
+ ISSN={2058-9565},
+ url={http://dx.doi.org/10.1088/2058-9565/ac39f5},
+ DOI={10.1088/2058-9565/ac39f5},
+ number={1},
+ journal={Quantum Science and Technology},
+ publisher={IOP Publishing},
+ author={Efthymiou, Stavros and Ramos-Calderer, Sergi and Bravo-Prieto, Carlos and Pérez-Salinas, Adrián and García-Martín, Diego and Garcia-Saez, Artur and Latorre, José Ignacio and Carrazza, Stefano},
+ year={2021},
+ month=dec, pages={015018} }
diff --git a/poetry.lock b/poetry.lock
index b927399..2be3a48 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -11,6 +11,17 @@ files = [
{file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
]
+[[package]]
+name = "alabaster"
+version = "0.7.16"
+description = "A light, configurable Sphinx theme"
+optional = false
+python-versions = ">=3.9"
+files = [
+ {file = "alabaster-0.7.16-py3-none-any.whl", hash = "sha256:b46733c07dce03ae4e150330b975c75737fa60f0a7c591b6c8bf4928a28e2c92"},
+ {file = "alabaster-0.7.16.tar.gz", hash = "sha256:75a8b99c28a5dad50dd7f8ccdd447a121ddb3892da9e53d1ca5cca3106d58d65"},
+]
+
[[package]]
name = "alembic"
version = "1.13.3"
@@ -105,6 +116,20 @@ docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphi
tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+[[package]]
+name = "babel"
+version = "2.16.0"
+description = "Internationalization utilities"
+optional = false
+python-versions = ">=3.8"
+files = [
+ {file = "babel-2.16.0-py3-none-any.whl", hash = "sha256:368b5b98b37c06b7daf6696391c3240c938b37767d4584413e8438c5c435fa8b"},
+ {file = "babel-2.16.0.tar.gz", hash = "sha256:d1f3554ca26605fe173f3de0c65f750f5a42f924499bf134de6423582298e316"},
+]
+
+[package.extras]
+dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
+
[[package]]
name = "backcall"
version = "0.2.0"
@@ -116,6 +141,27 @@ files = [
{file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
]
+[[package]]
+name = "beautifulsoup4"
+version = "4.12.3"
+description = "Screen-scraping library"
+optional = false
+python-versions = ">=3.6.0"
+files = [
+ {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+ {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
+]
+
+[package.dependencies]
+soupsieve = ">1.2"
+
+[package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
+html5lib = ["html5lib"]
+lxml = ["lxml"]
+
[[package]]
name = "certifi"
version = "2024.8.30"
@@ -289,73 +335,73 @@ development = ["black", "flake8", "mypy", "pytest", "types-colorama"]
[[package]]
name = "coverage"
-version = "7.6.2"
+version = "7.6.4"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.9"
files = [
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python-versions = ">=3"
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python-versions = ">=3"
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url = "https://github.com/qiboteam/qibo.git"
reference = "HEAD"
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@@ -2123,13 +2263,13 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
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@@ -2184,13 +2324,13 @@ test = ["array-api-strict", "asv", "gmpy2", "hypothesis (>=6.30)", "mpmath", "po
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[package.dependencies]
@@ -2397,28 +2763,25 @@ flatbuffers = ">=24.3.25"
gast = ">=0.2.1,<0.5.0 || >0.5.0,<0.5.1 || >0.5.1,<0.5.2 || >0.5.2"
google-pasta = ">=0.1.1"
grpcio = ">=1.24.3,<2.0"
-h5py = ">=3.10.0"
-keras = ">=3.2.0"
+h5py = ">=3.11.0"
+keras = ">=3.5.0"
libclang = ">=13.0.0"
-ml-dtypes = ">=0.3.1,<0.5.0"
-numpy = [
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- {version = ">=1.23.5,<2.0.0", markers = "python_version <= \"3.11\""},
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+ml-dtypes = ">=0.4.0,<0.5.0"
+numpy = ">=1.26.0,<2.1.0"
opt-einsum = ">=2.3.2"
packaging = "*"
-protobuf = ">=3.20.3,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
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requests = ">=2.21.0,<3"
setuptools = "*"
six = ">=1.12.0"
-tensorboard = ">=2.17,<2.18"
+tensorboard = ">=2.18,<2.19"
tensorflow-io-gcs-filesystem = {version = ">=0.23.1", markers = "python_version < \"3.12\""}
termcolor = ">=1.1.0"
typing-extensions = ">=3.6.6"
wrapt = ">=1.11.0"
[package.extras]
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+and-cuda = ["nvidia-cublas-cu12 (==12.5.3.2)", "nvidia-cuda-cupti-cu12 (==12.5.82)", "nvidia-cuda-nvcc-cu12 (==12.5.82)", "nvidia-cuda-nvrtc-cu12 (==12.5.82)", "nvidia-cuda-runtime-cu12 (==12.5.82)", "nvidia-cudnn-cu12 (==9.3.0.75)", "nvidia-cufft-cu12 (==11.2.3.61)", "nvidia-curand-cu12 (==10.3.6.82)", "nvidia-cusolver-cu12 (==11.6.3.83)", "nvidia-cusparse-cu12 (==12.5.1.3)", "nvidia-nccl-cu12 (==2.21.5)", "nvidia-nvjitlink-cu12 (==12.5.82)"]
[[package]]
name = "tensorflow-io-gcs-filesystem"
@@ -2490,31 +2853,28 @@ files = [
[[package]]
name = "torch"
-version = "2.4.1"
+version = "2.5.0"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
optional = false
python-versions = ">=3.8.0"
files = [
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]
[package.dependencies]
@@ -2522,25 +2882,26 @@ filelock = "*"
fsspec = "*"
jinja2 = "*"
networkx = "*"
-nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cublas-cu12 = {version = "12.4.5.8", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
nvidia-cudnn-cu12 = {version = "9.1.0.70", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-setuptools = "*"
-sympy = "*"
-triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
+nvidia-cufft-cu12 = {version = "11.2.1.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.5.147", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.6.1.9", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.3.1.170", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.21.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvjitlink-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.4.127", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+setuptools = {version = "*", markers = "python_version >= \"3.12\""}
+sympy = {version = "1.13.1", markers = "python_version >= \"3.9\""}
+triton = {version = "3.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
typing-extensions = ">=4.8.0"
[package.extras]
opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.11.0)"]
+optree = ["optree (>=0.12.0)"]
[[package]]
name = "tqdm"
@@ -2579,16 +2940,16 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
[[package]]
name = "triton"
-version = "3.0.0"
+version = "3.1.0"
description = "A language and compiler for custom Deep Learning operations"
optional = false
python-versions = "*"
files = [
- {file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"},
- {file = "triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c"},
- {file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"},
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+ {file = "triton-3.1.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0f34f6e7885d1bf0eaaf7ba875a5f0ce6f3c13ba98f9503651c1e6dc6757ed5c"},
+ {file = "triton-3.1.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8182f42fd8080a7d39d666814fa36c5e30cc00ea7eeeb1a2983dbb4c99a0fdc"},
+ {file = "triton-3.1.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6dadaca7fc24de34e180271b5cf864c16755702e9f63a16f62df714a8099126a"},
+ {file = "triton-3.1.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:aafa9a20cd0d9fee523cd4504aa7131807a864cd77dcf6efe7e981f18b8c6c11"},
]
[package.dependencies]
@@ -2640,13 +3001,13 @@ files = [
[[package]]
name = "werkzeug"
-version = "3.0.4"
+version = "3.0.6"
description = "The comprehensive WSGI web application library."
optional = false
python-versions = ">=3.8"
files = [
- {file = "werkzeug-3.0.4-py3-none-any.whl", hash = "sha256:02c9eb92b7d6c06f31a782811505d2157837cea66aaede3e217c7c27c039476c"},
- {file = "werkzeug-3.0.4.tar.gz", hash = "sha256:34f2371506b250df4d4f84bfe7b0921e4762525762bbd936614909fe25cd7306"},
+ {file = "werkzeug-3.0.6-py3-none-any.whl", hash = "sha256:1bc0c2310d2fbb07b1dd1105eba2f7af72f322e1e455f2f93c993bee8c8a5f17"},
+ {file = "werkzeug-3.0.6.tar.gz", hash = "sha256:a8dd59d4de28ca70471a34cba79bed5f7ef2e036a76b3ab0835474246eb41f8d"},
]
[package.dependencies]
@@ -2787,4 +3148,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.9,<3.13"
-content-hash = "e91f86600f8af7314d96525052479db607b5a1bc83903ee1404397fad35603c6"
+content-hash = "b870f1d8a8e370a7a2aa5460bb26954be0b1d86f227d8d59fbb223c8353bafcf"
diff --git a/pyproject.toml b/pyproject.toml
index 9b99ab1..2f3dbee 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,6 +8,9 @@ version = "0.0.1"
description = "Quantum Machine Learning using Qibo"
authors = ["Qiboteam"]
readme = "README.md"
+homepage = "https://qibo.science/"
+repository = "https://github.com/qiboteam/qiboml/"
+documentation = "https://qibo.science/docs/qiboml/stable"
packages = [{ include = "qiboml", from = "src" }]
[tool.poetry.dependencies]
@@ -21,6 +24,16 @@ jaxlib = "^0.4.25"
# TODO: this is temporary and has to be updated with Qibo
qibo = { git = "https://github.com/qiboteam/qibo.git" }
+[tool.poetry.group.docs]
+optional = true
+
+[tool.poetry.group.docs.dependencies]
+Sphinx = "^5.3.0"
+furo = "^2023.3.27"
+sphinxcontrib-bibtex = "^2.5.0"
+sphinx-copybutton = "^0.5.2"
+sphinxcontrib-katex = "^0.9.9"
+
[tool.poetry.group.dev]
optional = true
@@ -40,6 +53,9 @@ bench = "pytest benchmarks/"
test = "pytest"
lint = "pylint src/**/*.py -E"
lint-warnings = "pylint src/**/*.py --exit-zero"
+docs = "make -C doc html"
+docs-clean = "make -C doc clean"
+test-docs = "make -C doc doctest"
[tool.pytest.ini_options]
testpaths = ['tests/', 'benchmarks/']