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libraries"],"sub_categories":[],"readme":"![Logo](https://github.com/qiboteam/qibo/blob/master/doc/source/_static/qibo_logo_dark.svg)\n\n[![codecov](https://codecov.io/gh/qiboteam/qibo/branch/master/graph/badge.svg?token=1EKZKVEVX0)](https://codecov.io/gh/qiboteam/qibo)\n![PyPI - Version](https://img.shields.io/pypi/v/qibo)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/qibo)\n\nQibo is an open-source full stack API for quantum simulation and quantum hardware control.\n\nSome of the key features of Qibo are:\n- Definition of a standard language for the construction and execution of quantum circuits with device agnostic approach to simulation and quantum hardware control based on plug and play backend drivers.\n- A continuously growing code-base of quantum algorithms applications presented with examples and tutorials.\n- Efficient simulation backends with GPU, multi-GPU and CPU with multi-threading support.\n- Simple mechanism for the implementation of new simulation and hardware backend drivers.\n\n## Documentation\n\n[![docs](https://github.com/qiboteam/qibo/actions/workflows/publish.yml/badge.svg)](https://qibo.science/qibo/stable/)\n\nQibo documentation is available [here](https://qibo.science).\n\n## Minimum Working Examples\n\nA simple [Quantum Fourier Transform (QFT)](https://en.wikipedia.org/wiki/Quantum_Fourier_transform) example to test your installation:\n```python\nfrom qibo.models import QFT\n\n# Create a QFT circuit with 15 qubits\ncircuit = QFT(15)\n\n# Simulate final state wavefunction default initial state is |00\u003e\nfinal_state = circuit()\n```\n\nHere another example with more gates and shots simulation:\n\n```python\nimport numpy as np\nfrom qibo import Circuit, gates\n\ncircuit = Circuit(2)\ncircuit.add(gates.X(0))\n\n# Add a measurement register on both qubits\ncircuit.add(gates.M(0, 1))\n\n# Execute the circuit with the default initial state |00\u003e.\nresult = circuit(nshots=100)\n```\n\nIn both cases, the simulation will run in a single device CPU or GPU in double precision `complex128`.\n\n## Citation policy\n[![arXiv](https://img.shields.io/badge/arXiv-2009.01845-b31b1b.svg)](https://arxiv.org/abs/2009.01845)\n[![DOI](https://zenodo.org/badge/241307936.svg)](https://zenodo.org/badge/latestdoi/241307936)\n\nIf you use the package please refer to [the documentation](https://qibo.science/qibo/stable/appendix/citing-qibo.html#publications) for citation instructions.\n\n## Contacts\n\nTo get in touch with the community and the developers, consider joining the Qibo workspace on Matrix:\n\n[![Matrix](https://img.shields.io/matrix/qibo%3Amatrix.org?logo=matrix)](https://matrix.to/#/#qibo:matrix.org)\n\nIf you have a question about the project, please contact us with [📫](mailto:qiboteam@qibo.science).\n\n## Supporters\n\n### Financial Sponsors and Development Partners\n\n- [Quantum Research Center](https://www.tii.ae/quantum), Technology Innovation Institute (TII), United Arab Emirates.\n- [National Quantum Computing Hub](https://www.nqch.sg), National Quantum Office, Singapore.\n- [Istituto Nazionale di Fisica Nucleare (INFN)](https://web.infn.it/quartet/), QUART\u0026T CSN5, Italy.\n- [National Quantum Science and Technology Institute](https://nqsti.it), Italy.\n\n### Collaborators\n\n- Università degli Studi di Milano (UNIMI), Italy.\n- Università degli Studi di Milano-Bicocca (UNIMIB), Italy.\n- European Organization for Nuclear research (CERN), Switzerland.\n- Universitat de Barcelona (UB), Spain.\n- Barcelona Supercomputing Center (BSC), Spain.\n- Qilimanjaro Quantum Tech, Spain.\n- Centre for Quantum Technologies (CQT), Singapore.\n- Institute of High Performance Computing (IHPC), Singapore.\n- National Supercomputing Centre (NSCC), Singapore.\n- RIKEN Center for Computational Science (R-CCS), Japan.\n- NVIDIA (cuQuantum \u0026 cuda-quantum), 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