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juanjosegarciaripoll committed Jun 21, 2024
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4 changes: 2 additions & 2 deletions docs/algorithms/gradient_descent.rst
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\Delta H^2 = \langle\psi|(H-E[\psi])^2|\psi\rangle,\;
E_3 = \langle\psi|(H-E[\psi])^3|\psi\rangle.
This algorithm is implemented by the function :func:`~seemps.optimization.gradient_descent`.
This formulation, used in Ref. :cite:t:`GarciaMolina2024`, is implemented by the function :func:`~seemps.optimization.gradient_descent`.

.. autosummary::
:toctree: ../generated/

~seemps.optimization.gradient_descent
~seemps.optimization.gradient_descent
2 changes: 2 additions & 0 deletions docs/conf.py
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"sphinx.ext.autosummary",
"sphinx.ext.viewcode",
"sphinx.ext.intersphinx", # Link to other project's doc.
"sphinxcontrib.bibtex", # Bibliography files
]
bibtex_bibfiles = ["refs.bib"]

# Add any paths that contain templates here, relative to this directory.
templates_path = ["_templates"]
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22 changes: 22 additions & 0 deletions docs/refs.bib
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@misc{GarciaMolina2024,
title={Global optimization of MPS in quantum-inspired numerical analysis},
author={Paula García-Molina and Luca Tagliacozzo and Juan José García-Ripoll},
year={2024},
eprint={2303.09430},
archivePrefix={arXiv},
primaryClass={id='quant-ph' full_name='Quantum Physics' is_active=True alt_name=None in_archive='quant-ph' is_general=False description=None}
}
@article{GarciaRipoll2021,
doi = {10.22331/q-2021-04-15-431},
url = {https://doi.org/10.22331/q-2021-04-15-431},
title = {Quantum-inspired algorithms for multivariate analysis: from interpolation to partial differential equations},
author = {Garc{\'{i}}a-Ripoll, Juan Jos{\'{e}}},
journal = {{Quantum}},
issn = {2521-327X},
publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}},
volume = {5},
pages = {431},
month = apr,
year = {2021}
}
3 changes: 2 additions & 1 deletion docs/requirements.txt
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sphinx
sphinx-design
pydata-sphinx-theme
numpydoc
numpydoc
sphinxcontrib-bibtex
12 changes: 9 additions & 3 deletions docs/seemps_examples.rst
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.. _seemps_examples:

***************
Examples of use
***************
*************************
Examples and Bibliography
*************************

In the directory `examples` of the library, we have created various Jupyter notebooks that solve canonical problems using the SeeMPS library tools, from computing ground states of many-body problems, to solving static and time-dependent partial differential equations.

- `Computation of a spin-1/2 model ground state using DMRG <https://github.com/juanjosegarciaripoll/seemps2/blob/main/examples/DMRG.ipynb>`_.
- `Solution of a Hamiltonian PDE <https://github.com/juanjosegarciaripoll/seemps2/blob/main/examples/PDE.ipynb>`_.

Further examples of use appear in the datasets and associated codes to the following publications:

.. bibliography::

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