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* Update citation.md Add links for Qualtran and Stim, sort the list in alpha order, and remove needless trailing spaces. * Minor edits and updates to docs/ Minor edits to add info (e.g., about Qualtran), and make drive-by corrections to punctuation, grammar, and capitalization. This does not include changes to conform to Google Markdown style. * Describe some missing issue labels & fix more inconsistencies A lot of punctuation & minor grammar issues in this one, in addition to adding explanations about some issue labels. * Fix NumPy capitalization error from a previous commit * Fix capitalization of SymPy * Update stated version number of grpcio-tools docs/dev/development.md Co-authored-by: Pavol Juhas <pavol.juhas@gmail.com> * Spell out time zone Co-authored-by: Pavol Juhas <pavol.juhas@gmail.com> * Merge * Add back a change lost in conflict resolution * Fix a couple of sentences about Docker * Fix a couple of Cirq capitalization issues missed before --------- Co-authored-by: Pavol Juhas <pavol.juhas@gmail.com>
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docs/build/ecosystem.md

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@@ -4,7 +4,7 @@ The following document provides an ecosystem overview of how the various tools c
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* **Research Libraries and Tools:** Libraries and tools used for researching new quantum algorithms and designing and preparing experiments on quantum devices.
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* **Cirq**: A framework specifically for programming noisy intermediate quantum computers.
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* **Cirq**: A framework specifically for programming noisy intermediate-scale quantum computers.
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* **Quantum Cloud Services:** Cirq can connect to a variety of quantum cloud services. Behind each cloud service, quantum algorithms run on either a quantum processor or simulator.
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|Name|Main sponsor|Description|
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|--- |--- |--- |
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|[Cirq](https://github.com/quantumlib/Cirq)|Google|An open-source framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.|
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|[OpenFermion](https://github.com/quantumlib/OpenFermion)|Google|An open-source algorithms library for developing new quantum chemistry and materials simulation algorithms|
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|[TensorFlow Quantum](https://tensorflow.org/quantum)|Google|An open-source algorithms library for developing new quantum machine learning algorithms|
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|[Stim](https://github.com/quantumlib/stim)|Google|An open-source library for high speed simulation of Clifford circuits and quantum error correction|
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|[ReCirq](https://github.com/quantumlib/ReCirq)|Google|An open-source repository of example experiments, tools, and tutorials for running experiments on Google’s Quantum Computing Service|
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|[Qualtran](https://github.com/quantumlib/qualtran)|Google|An open-source library for expressing and analyzing fault-tolerant quantum algorithms|
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|[Stim](https://github.com/quantumlib/stim)|Google|An open-source library for high-speed simulation of Clifford circuits and quantum error correction|
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|[ReCirq](https://github.com/quantumlib/ReCirq)|Google|An open-source repository of example experiments, tools, and tutorials in quantum computing|
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|[Forge](https://forge.qcware.com/)|QCWare|A proprietary library for domain-specific quantum algorithms and applications|
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|[Pennylane](https://pennylane.ai/)|Xanadu|An open-source library for quantum machine learning with TensorFlow, PyTorch, or NumPy|
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For more information for vendors about integrating with cirq,
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see our [RFC page](../dev/rfc_process.md#new_hardware_integrations).
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## High performance quantum circuit simulators
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|Name|Main sponsor|Description|
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|--- |--- |--- |
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|[qsim](https://github.com/quantumlib/qsim)|Google|An open-source, high performance circuit simulator for Schrödinger simulations|
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|[quimb](https://github.com/jcmgray/quimb)|Johnny Gray|An open-source, high performance circuit simulator using tensor-networks|
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|[qulacs](https://github.com/qulacs/cirq-qulacs)|Quansys|An open-source, high performance circuit simulator for Schrödinger simulations|
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|[Stim](https://github.com/quantumlib/stim)|Google|An open-source library for high speed simulation of Clifford circuits and quantum error correction|
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|[qsim](https://github.com/quantumlib/qsim)|Google|An open-source, high-performance circuit simulator for Schrödinger simulations|
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|[quimb](https://github.com/jcmgray/quimb)|Johnny Gray|An open-source, high-performance circuit simulator using tensor-networks|
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|[qulacs](https://github.com/qulacs/cirq-qulacs)|Quansys|An open-source, high-performance circuit simulator for Schrödinger simulations|
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|[Stim](https://github.com/quantumlib/stim)|Google|An open-source library for high-speed simulation of Clifford circuits and quantum error correction|
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|[cuQuantum](https://developer.nvidia.com/cuquantum-sdk)|Nvidia|Tools for speeding up quantum simulation on GPUs|

docs/citation.md

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# Citing Google Quantum AI open source software
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# Citing Google Quantum AI open-source software
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When using our projects, please cite them according to the following guide:
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| Project | Citation reference |
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| Project | Citation reference |
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|---------|--------------------|
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| Cirq | https://github.com/quantumlib/Cirq/tree/main#how-to-cite-cirq |
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| OpenFermion | https://github.com/quantumlib/OpenFermion#how-to-cite |
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| Cirq | https://github.com/quantumlib/Cirq/tree/main#how-to-cite-cirq |
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| OpenFermion | https://github.com/quantumlib/OpenFermion#how-to-cite |
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| qsim | https://github.com/quantumlib/qsim#how-to-cite-qsim |
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| Qualtran | https://github.com/quantumlib/qualtran#how-to-cite-qualtran |
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| ReCirq | https://github.com/quantumlib/ReCirq#how-to-cite-recirq |
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| qsim | https://github.com/quantumlib/qsim#how-to-cite-qsim |
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| Tensorflow Quantum |https://github.com/tensorflow/quantum#references|
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| Stim | https://github.com/quantumlib/stim#how-cite-stim |
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| Tensorflow Quantum | https://github.com/tensorflow/quantum#references|

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