# Aer - high performance quantum circuit simulation for Qiskit
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**Aer** is a high performance simulator for quantum circuits written in Qiskit, that includes realistic noise models.
## Installation
We encourage installing Aer via the pip tool (a python package manager):
```bash
pip install qiskit-aer
```
Pip will handle all dependencies automatically for us, and you will always install the latest (and well-tested) version.
To install from source, follow the instructions in the [contribution guidelines](CONTRIBUTING.md).
## Installing GPU support
In order to install and run the GPU supported simulators on Linux, you need CUDA® 11.2 or newer previously installed.
CUDA® itself would require a set of specific GPU drivers. Please follow CUDA® installation procedure in the NVIDIA® [web](https://www.nvidia.com/drivers).
If you want to install our GPU supported simulators, you have to install this other package:
```bash
pip install qiskit-aer-gpu
```
The package above is for CUDA® 12, so if your system has CUDA® 11 installed, install separate package:
```bash
pip install qiskit-aer-gpu-cu11
```
This will overwrite your current `qiskit-aer` package installation giving you
the same functionality found in the canonical `qiskit-aer` package, plus the
ability to run the GPU supported simulators: statevector, density matrix, and unitary.
**Note**: This package is only available on x86_64 Linux. For other platforms
that have CUDA support, you will have to build from source. You can refer to
the [contributing guide](CONTRIBUTING.md#building-with-gpu-support)
for instructions on doing this.
## Simulating your first Qiskit circuit with Aer
Now that you have Aer installed, you can start simulating quantum circuits with noise. Here is a basic example:
```
$ python
```
```python
import qiskit
from qiskit_aer import AerSimulator
from qiskit_ibm_runtime import QiskitRuntimeService
# Generate 3-qubit GHZ state
circ = qiskit.QuantumCircuit(3)
circ.h(0)
circ.cx(0, 1)
circ.cx(1, 2)
circ.measure_all()
# Construct an ideal simulator
aersim = AerSimulator()
# Perform an ideal simulation
result_ideal = aersim.run(circ).result()
counts_ideal = result_ideal.get_counts(0)
print('Counts(ideal):', counts_ideal)
# Counts(ideal): {'000': 493, '111': 531}
# Construct a simulator using a noise model
# from a real backend.
provider = QiskitRuntimeService()
backend = provider.get_backend("ibm_kyoto")
aersim_backend = AerSimulator.from_backend(backend)
# Perform noisy simulation
result_noise = aersim_backend.run(circ).result()
counts_noise = result_noise.get_counts(0)
print('Counts(noise):', counts_noise)
# Counts(noise): {'101': 16, '110': 48, '100': 7, '001': 31, '010': 7, '000': 464, '011': 15, '111': 436}
```
## Contribution Guidelines
If you'd like to contribute to Aer, please take a look at our
[contribution guidelines](CONTRIBUTING.md). This project adheres to Qiskit's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.
We use [GitHub issues](https://github.com/Qiskit/qiskit-aer/issues) for tracking requests and bugs. Please use our [slack](https://qiskit.slack.com) for discussion and simple questions. To join our Slack community use the [link](https://qiskit.slack.com/join/shared_invite/zt-fybmq791-hYRopcSH6YetxycNPXgv~A#/). For questions that are more suited for a forum, we use the Qiskit tag in the [Stack Exchange](https://quantumcomputing.stackexchange.com/questions/tagged/qiskit).
## Next Steps
Now you're set up and ready to check out some of the other examples from the [Aer documentation](https://qiskit.github.io/qiskit-aer/).
## Authors and Citation
Aer is the work of [many people](https://github.com/Qiskit/qiskit-aer/graphs/contributors) who contribute to the project at different levels.
If you use Qiskit, please cite as per the included [BibTeX file](https://github.com/Qiskit/qiskit/blob/main/CITATION.bib).
## License
[Apache License 2.0](LICENSE.txt)
Raw data
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"description": "# Aer - high performance quantum circuit simulation for Qiskit\n\n[](https://opensource.org/licenses/Apache-2.0)\n[](https://github.com/Qiskit/qiskit-aer/actions/workflows/build.yml)\n[](https://github.com/Qiskit/qiskit-aer/actions/workflows/tests.yml)\n[](https://github.com/Qiskit/qiskit-aer/releases)\n[](https://pypi.org/project/qiskit-aer/)\n\n**Aer** is a high performance simulator for quantum circuits written in Qiskit, that includes realistic noise models.\n\n## Installation\n\nWe encourage installing Aer via the pip tool (a python package manager):\n\n```bash\npip install qiskit-aer\n```\n\nPip will handle all dependencies automatically for us, and you will always install the latest (and well-tested) version.\n\nTo install from source, follow the instructions in the [contribution guidelines](CONTRIBUTING.md).\n\n## Installing GPU support\n\nIn order to install and run the GPU supported simulators on Linux, you need CUDA® 11.2 or newer previously installed.\nCUDA® itself would require a set of specific GPU drivers. Please follow CUDA® installation procedure in the NVIDIA® [web](https://www.nvidia.com/drivers).\n\nIf you want to install our GPU supported simulators, you have to install this other package:\n\n```bash\npip install qiskit-aer-gpu\n```\n\nThe package above is for CUDA® 12, so if your system has CUDA® 11 installed, install separate package:\n```bash\npip install qiskit-aer-gpu-cu11\n```\n\nThis will overwrite your current `qiskit-aer` package installation giving you\nthe same functionality found in the canonical `qiskit-aer` package, plus the\nability to run the GPU supported simulators: statevector, density matrix, and unitary.\n\n**Note**: This package is only available on x86_64 Linux. For other platforms\nthat have CUDA support, you will have to build from source. You can refer to\nthe [contributing guide](CONTRIBUTING.md#building-with-gpu-support)\nfor instructions on doing this.\n\n## Simulating your first Qiskit circuit with Aer\nNow that you have Aer installed, you can start simulating quantum circuits with noise. Here is a basic example:\n\n```\n$ python\n```\n\n```python\nimport qiskit\nfrom qiskit_aer import AerSimulator\nfrom qiskit_ibm_runtime import QiskitRuntimeService\n\n# Generate 3-qubit GHZ state\ncirc = qiskit.QuantumCircuit(3)\ncirc.h(0)\ncirc.cx(0, 1)\ncirc.cx(1, 2)\ncirc.measure_all()\n\n# Construct an ideal simulator\naersim = AerSimulator()\n\n# Perform an ideal simulation\nresult_ideal = aersim.run(circ).result()\ncounts_ideal = result_ideal.get_counts(0)\nprint('Counts(ideal):', counts_ideal)\n# Counts(ideal): {'000': 493, '111': 531}\n\n# Construct a simulator using a noise model\n# from a real backend.\nprovider = QiskitRuntimeService()\nbackend = provider.get_backend(\"ibm_kyoto\")\naersim_backend = AerSimulator.from_backend(backend)\n\n# Perform noisy simulation\nresult_noise = aersim_backend.run(circ).result()\ncounts_noise = result_noise.get_counts(0)\n\nprint('Counts(noise):', counts_noise)\n# Counts(noise): {'101': 16, '110': 48, '100': 7, '001': 31, '010': 7, '000': 464, '011': 15, '111': 436}\n```\n\n## Contribution Guidelines\n\nIf you'd like to contribute to Aer, please take a look at our\n[contribution guidelines](CONTRIBUTING.md). This project adheres to Qiskit's [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code.\n\nWe use [GitHub issues](https://github.com/Qiskit/qiskit-aer/issues) for tracking requests and bugs. Please use our [slack](https://qiskit.slack.com) for discussion and simple questions. To join our Slack community use the [link](https://qiskit.slack.com/join/shared_invite/zt-fybmq791-hYRopcSH6YetxycNPXgv~A#/). For questions that are more suited for a forum, we use the Qiskit tag in the [Stack Exchange](https://quantumcomputing.stackexchange.com/questions/tagged/qiskit).\n\n## Next Steps\n\nNow you're set up and ready to check out some of the other examples from the [Aer documentation](https://qiskit.github.io/qiskit-aer/).\n\n## Authors and Citation\n\nAer is the work of [many people](https://github.com/Qiskit/qiskit-aer/graphs/contributors) who contribute to the project at different levels.\nIf you use Qiskit, please cite as per the included [BibTeX file](https://github.com/Qiskit/qiskit/blob/main/CITATION.bib).\n\n## License\n\n[Apache License 2.0](LICENSE.txt)\n",
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