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New release v0.4.2 into main (#367)
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* Helper class and functions for iFCI fragment import (#351)
* Set the instance in a Qiskit runtime job (#352)
* Added trim_qubits option to Circuit.split() (#353)
* Measurement Controlled operations (CMEASURE) (#334)
* Fix after qiskit update: qiskit_noise_model (#354)
* Bugfix: DMET fragment object initialization from IntegralSolver fixed (#355)
* added explicit mo_coeff for H4_cation (#356)
* VQE get_rdm performance improvements (#357)
* Implementation of Frozen Natural Orbitals (FNO) (#358)
* UHF reference symmetry labels. (#360)
* FNO: NotImplementedError for ROHF (#362)
* Iterative Quantum Phase Estimation (#359)
* README minor changes + feature overview link (#363)
* Add feature list (#364) (#365)

---------

Co-authored-by: Valentin Senicourt <[email protected]>
Co-authored-by: AlexandreF-1qbit <[email protected]>
Co-authored-by: James Brown <[email protected]>
Co-authored-by: James Brown <[email protected]>
Co-authored-by: ValentinS4t1qbit <[email protected]>
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48 changes: 26 additions & 22 deletions README.rst
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|tangelo_logo|
.. raw:: html

.. |tangelo_logo| image:: ./docs/source/_static/img/tangelo_logo_gradient.png
:width: 600
:alt: tangelo_logo
<p align="center">
<img width="600" alt="tangelo_logo" src="./docs/source/_static/img/tangelo_logo_gradient.png">
</p>

|maintainer| |licence| |systems| |dev_branch|
.. raw:: html

..
|build|
<p align="center">
<a href="https://goodchemistry.com">
<img src="https://img.shields.io/badge/Maintainer-GoodChemistry-blue" alt="maintainer">
</a>
<a href="https://github.com/goodchemistryco/Tangelo/blob/main/LICENSE">
<img src="https://img.shields.io/badge/License-Apache_2.0-green" alt="license">
</a>
<img src="https://img.shields.io/badge/OS-Linux%20MacOS%20Windows-7373e3" alt="systems">
<a href="https://github.com/goodchemistryco/Tangelo/tree/develop">
<img src="https://img.shields.io/badge/DevBranch-develop-yellow" alt="dev_branch">
</a>
</p>

.. |maintainer| image:: https://img.shields.io/badge/Maintainer-GoodChemistry-blue
:target: https://goodchemistry.com
.. |licence| image:: https://img.shields.io/badge/License-Apache_2.0-green
:target: https://github.com/goodchemistryco/Tangelo/blob/main/LICENSE
.. |systems| image:: https://img.shields.io/badge/OS-Linux%20MacOS%20Windows-7373e3
.. |dev_branch| image:: https://img.shields.io/badge/DevBranch-develop-yellow
.. |build| image:: https://github.com/goodchemistryco/Tangelo/actions/workflows/continuous_integration.yml/badge.svg
:target: https://github.com/goodchemistryco/Tangelo/actions/workflows/continuous_integration.yml

Welcome !

Tangelo is an open-source Python package maintained by `Good Chemistry Company <https://goodchemistry.com>`_, focusing on the development of quantum chemistry simulation workflows on quantum computers. It was developed as an engine to accelerate research, and leverages other popular frameworks to harness the innovation in our field.
Tangelo is an open-source Python package maintained by `Good Chemistry Company <https://goodchemistry.com>`_, focusing on the development of quantum chemistry simulation workflows on quantum computers. It was developed as an engine to accelerate research, and takes advantage of other popular frameworks to harness the innovation in our field.

-------------

.. raw:: html

<h3 align="center">
<a href="https://github.com/goodchemistryco/Tangelo-Examples/blob/main/contents.rst" target="_blank"><b>Tutorials</b></a>
&nbsp;&#183;&nbsp;
<a href="https://github.com/goodchemistryco/Tangelo/blob/develop/docs/source/docs/source/_static/img/tangelo_feature_overview.jpeg?raw=true" target="_blank"><b>Features</b></a>
&nbsp;&#183;&nbsp;
<a href="http://tangelo-docs.goodchemistry.com" target="_blank"><b>Docs</b></a>
&nbsp;&#183;&nbsp;
Expand All @@ -36,13 +40,13 @@ Tangelo is an open-source Python package maintained by `Good Chemistry Company <

-------------

This package provides a growing collection of algorithms and toolboxes, including problem decomposition, to support quantum algorithms R&D and the design of successful experiments on quantum devices. Tangelo is backend-agnostic, so that users can write code once and experiment with current and future platforms with minimal changes. Tangelo is capable to perform quantum experiments that led to publications in scientific journals, co-authored by professionals from the chemical industry and quantum hardware manufacturers.
This package provides a growing collection of algorithms and toolboxes to support quantum algorithms R&D and the design of successful experiments on quantum devices. Tangelo is backend-agnostic, which means users can write quantum algortihms once and run their calculations on current and future platforms with minimal changes. Tangelo is capable to perform quantum experiments that led to publications in scientific journals, co-authored by professionals from the chemical industry and quantum hardware manufacturers.

|workflow|
.. raw:: html

.. |workflow| image:: ./docs/source/_static/img/quantum_workflow.png
:width: 700
:alt: tangelo_workflow
<p align="center">
<img width="700" alt="tangelo_workflow" src="./docs/source/_static/img/quantum_workflow.png">
</p>

.. |curve| image:: ./docs/source/_static/img/curve_dmet_qcc.png
:width: 400
Expand Down Expand Up @@ -85,7 +89,7 @@ Optional dependencies: Quantum Simulators and Classical Quantum Chemistry
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Tangelo enables users to target various backends. In particular, it integrates quantum circuit simulators such as ``qulacs``\ , ``qiskit``\ , ``cirq``, among others. We leave it to you to install the packages of your choice, and refer to their own documentation. Most packages can be installed through pip or conda easily.
Tangelo can be used without having a classical quantum chemistry package installed but many chemistry algorithms need one. The two quantum chemistry packages that are natively supported are `PySCF <https://pyscf.org/>`_ and `Psi4 <https://psicode.org/>`_, which can be installed through pip or conda. It is possible to plug in your own `IntegralSolver <https://github.com/goodchemistryco/Tangelo/blob/develop/tangelo/toolboxes/molecular_computation/integral_solver.py>`_ or pre-computed integrals too.
Tangelo can be used without having a classical quantum chemistry package installed but many chemistry algorithms need one. The two quantum chemistry packages that are natively supported are `PySCF <https://pyscf.org/>`_ and `Psi4 <https://psicode.org/>`_, which can be installed through pip or conda. It is possible to plug in your own pre-computed integrals and other chemistry calculations done with the tools of your choice, or your own compute backend for executing quantum algorithms.

Optional: environment variables
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Expand Down
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2 changes: 1 addition & 1 deletion tangelo/_version.py
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""" Define version number here. It is read in setup.py, and bumped automatically
when using the new release Github action. """
__version__ = "0.4.1"
__version__ = "0.4.2"
2 changes: 2 additions & 0 deletions tangelo/algorithms/projective/__init__.py
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# limitations under the License.

from .quantum_imaginary_time import QITESolver
from .qpe import QPESolver
from .iqpe import IterativeQPESolver
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