Qiskit Aer
Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.
Qiskit is made up of elements that each work together to enable quantum computing. This element is Aer, which provides high-performance quantum computing simulators with realistic noise models.
Installation
We encourage installing Qiskit via the PIP tool (a python package manager), which installs all Qiskit elements, including this one.
pip install qiskit
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.
Simulating your first quantum program with Qiskit Aer
Now that you have Qiskit Aer installed, you can start simulating quantum circuits with noise. Here is a basic example:
$ python
from qiskit import QuantumCircuit, execute
from qiskit import Aer, IBMQ
from qiskit.providers.aer.noise import NoiseModel
# Choose a real device to simulate from IBMQ provider
provider = IBMQ.load_account()
backend = provider.get_backend('ibmq_vigo')
coupling_map = backend.configuration().coupling_map
# Generate an Aer noise model for device
noise_model = NoiseModel.from_backend(backend)
basis_gates = noise_model.basis_gates
# Generate 3-qubit GHZ state
num_qubits = 3
circ = QuantumCircuit(3, 3)
circ.h(0)
circ.cx(0, 1)
circ.cx(1, 2)
circ.measure([0, 1, 2], [0, 1 ,2])
# Perform noisy simulation
backend = Aer.get_backend('qasm_simulator')
job = execute(circ, backend,
coupling_map=coupling_map,
noise_model=noise_model,
basis_gates=basis_gates)
result = job.result()
print(result.get_counts(0))
{'000': 495, '001': 18, '010': 8, '011': 18, '100': 2, '101': 14, '110': 28, '111': 441}
Contribution Guidelines
If you'd like to contribute to Qiskit, please take a look at our
contribution guidelines. This project adheres to Qiskit's code of conduct. By participating, you are expect to uphold to this code.
We use GitHub issues for tracking requests and bugs. Please use our slack for discussion and simple questions. To join our Slack community use the link. For questions that are more suited for a forum we use the Qiskit tag in the Stack Exchange.
Next Steps
Now you're set up and ready to check out some of the other examples from our
Qiskit IQX Tutorials or Qiskit Community Tutorials repositories.
Authors and Citation
Qiskit Aer is the work of many people who contribute
to the project at different levels. If you use Qiskit, please cite as per the included BibTeX file.
