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Update intersphinx links and others (#1315)
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* Update intersphinx links and others

* Fix copyright
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woodsp-ibm authored Jan 31, 2024
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14 changes: 7 additions & 7 deletions README.md
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Expand Up @@ -16,7 +16,7 @@ The code comprises various modules revolving around:
- translating from the second-quantized to the qubit space
- a quantum circuit library of natural science targeted ansatze
- natural science specific algorithms and utilities to make the use of
algorithms from [Qiskit Algorithms](https://qiskit.org/ecosystem/algorithms/) easier
algorithms from [Qiskit Algorithms](https://qiskit-community.github.io/qiskit-algorithms/) easier
- and much more

## Installation
Expand All @@ -33,7 +33,7 @@ pip install qiskit-nature
If you want to work on the very latest work-in-progress versions, either to try features ahead of
their official release or if you want to contribute to Qiskit Nature, then you can install from source.
To do this follow the instructions in the
[documentation](https://qiskit.org/ecosystem/nature/getting_started.html#installation).
[documentation](https://qiskit-community.github.io/qiskit-nature/getting_started.html#installation).

### Optional Installs

Expand All @@ -43,9 +43,9 @@ Several, as listed below, are supported, and while logic to interface these prog
Qiskit Nature via the above pip installation, the dependent programs/libraries themselves need
to be installed separately.

- [Gaussian 16™](https://qiskit.org/ecosystem/nature/apidocs/qiskit_nature.second_q.drivers.gaussiand.html), a commercial chemistry program
- [PSI4](https://qiskit.org/ecosystem/nature/apidocs/qiskit_nature.second_q.drivers.psi4d.html), a chemistry program that exposes a Python interface allowing for accessing internal objects
- [PySCF](https://qiskit.org/ecosystem/nature/apidocs/qiskit_nature.second_q.drivers.pyscfd.html), an open-source Python chemistry program
- [Gaussian 16™](https://qiskit-community.github.io/qiskit-nature/apidocs/qiskit_nature.second_q.drivers.gaussiand.html), a commercial chemistry program
- [PSI4](https://qiskit-community.github.io/qiskit-nature/apidocs/qiskit_nature.second_q.drivers.psi4d.html), a chemistry program that exposes a Python interface allowing for accessing internal objects
- [PySCF](https://qiskit-community.github.io/qiskit-nature/apidocs/qiskit_nature.second_q.drivers.pyscfd.html), an open-source Python chemistry program

The above codes can be used in a very limited fashion through Qiskit Nature.
While this is useful for getting started and testing purposes, a better experience can be had in the reversed order of responsibility.
Expand All @@ -63,13 +63,13 @@ Additionally, you may find the following optional dependencies useful:

## Creating Your First Chemistry Programming Experiment in Qiskit

Check our [getting started page](https://qiskit.org/ecosystem/nature/getting_started.html)
Check our [getting started page](https://qiskit-community.github.io/qiskit-nature/getting_started.html)
for a first example on how to use Qiskit Nature.

### Further examples

Learning path notebooks may be found in the
[Nature Tutorials](https://qiskit.org/ecosystem/nature/tutorials/index.html) section
[Nature Tutorials](https://qiskit-community.github.io/qiskit-nature/tutorials/index.html) section
of the documentation and are a great place to start.


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6 changes: 3 additions & 3 deletions docs/conf.py
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Expand Up @@ -192,9 +192,9 @@
"python": ("https://docs.python.org/3", None),
"numpy": ("https://numpy.org/doc/stable/", None),
"scipy": ("https://docs.scipy.org/doc/scipy/", None),
"qiskit": ("https://qiskit.org/documentation/", None),
"qiskit-algorithms": ("https://qiskit.org/ecosystem/algorithms/", None),
"rustworkx": ("https://qiskit.org/ecosystem/rustworkx/", None),
"qiskit": ("https://docs.quantum.ibm.com/api/qiskit/", None),
"qiskit-algorithms": ("https://qiskit-community.github.io/qiskit-algorithms/", None),
"rustworkx": ("https://www.rustworkx.org/", None),
"sparse": ("https://sparse.pydata.org/en/stable/", None),
}

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2 changes: 1 addition & 1 deletion docs/index.rst
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Expand Up @@ -20,7 +20,7 @@ The code comprises various modules revolving around:
- translating from the second-quantized to the qubit space
- a quantum circuit library of natural science targeted ansatze
- natural science specific algorithms and utilities to make the use of
algorithms from `Qiskit Algorithms <https://qiskit.org/ecosystem/algorithms/>`_ easier
algorithms from `Qiskit Algorithms <https://qiskit-community.github.io/qiskit-algorithms/>`_ easier
- and much more


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2 changes: 1 addition & 1 deletion docs/tutorials/03_ground_state_solvers.ipynb
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Expand Up @@ -127,7 +127,7 @@
"\n",
"1. An Estimator primitive: these were released as part of Qiskit Terra 0.22. To learn more about primitives, check out [this resource](https://qiskit.org/documentation/apidoc/primitives.html).\n",
"2. A variational form: here we use the Unitary Coupled Cluster (UCC) ansatz (see for instance [Physical Review A 98.2 (2018): 022322]). Since it is a chemistry standard, a factory is already available allowing a fast initialization of a VQE with UCC. The default is to use all single and double excitations. However, the excitation type (S, D, SD) as well as other parameters can be selected. We also prepend the `UCCSD` variational form with a `HartreeFock` initial state, which initializes the occupation of our qubits according to the problem which we are trying solve.\n",
"3. An optimizer: this is the classical piece of code in charge of optimizing the parameters in our variational form. See [the corresponding documentation](https://qiskit.org/ecosystem/algorithms/apidocs/qiskit_algorithms.optimizers.html) for more information.\n",
"3. An optimizer: this is the classical piece of code in charge of optimizing the parameters in our variational form. See [the corresponding documentation](https://qiskit-community.github.io/qiskit-algorithms/apidocs/qiskit_algorithms.optimizers.html) for more information.\n",
"\n",
"One could also use any available ansatz / initial state or even define one's own. For instance,"
]
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4 changes: 2 additions & 2 deletions setup.py
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@@ -1,6 +1,6 @@
# This code is part of a Qiskit project.
#
# (C) Copyright IBM 2018, 2023.
# (C) Copyright IBM 2018, 2024.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
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},
project_urls={
"Bug Tracker": "https://github.com/Qiskit/qiskit-nature/issues",
"Documentation": "https://qiskit.org/ecosystem/nature/",
"Documentation": "https://qiskit-community.github.io/qiskit-nature/",
"Source Code": "https://github.com/Qiskit/qiskit-nature",
},
zip_safe=False,
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