Qiskit IonQ Provider
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
This project contains a provider that allows access to IonQ ion trap quantum systems.
The example python notebook (in
/example) should help you understand basic usage.
The IonQ Provider uses IonQ's REST API, and using the provider requires an API access token from IonQ. If you would like to use IonQ as a Qiskit provider, please contact email@example.com to request more information about gaining access to the IonQ API.
ℹ️The Qiskit IonQ Provider requires
To ensure you are on the latest version, run:pip install -U "qiskit-terra>=0.17.4"
You can install the provider using pip:
pip install qiskit-ionq
To instantiate the provider, make sure you have an access token then create a provider:
from qiskit_ionq import IonQProvider provider = IonQProvider("token")
Credential Environment Variables
Alternatively, the IonQ Provider can discover your access token from environment variables:
Then invoke instantiate the provider without any arguments:
from qiskit_ionq import IonQProvider, ErrorMitigation provider = IonQProvider()
Once the provider has been instantiated, it may be used to access supported backends:
# Show all current supported backends: print(provider.backends()) # Get IonQ's simulator backend: simulator_backend = provider.get_backend("ionq_simulator")
Submitting a Circuit
Once a backend has been specified, it may be used to submit circuits. For example, running a Bell State:
from qiskit import QuantumCircuit # Create a basic Bell State circuit: qc = QuantumCircuit(2, 2) qc.h(0) qc.cx(0, 1) qc.measure([0, 1], [0, 1]) # Run the circuit on IonQ's platform with error mitigation: job = simulator_backend.run(qc, error_mitigation=ErrorMitigation.DEBIASING) # Print the results. print(job.result().get_counts()) # Get results with a different aggregation method when debiasing # is applied as an error mitigation strategy print(job.result(sharpen=True).get_counts()) # The simulator specifically provides the the ideal probabilities and creates # counts by sampling from these probabilities. The raw probabilities are also accessible: print(job.result().get_probabilities())
Basis gates and transpilation
The IonQ provider provides access to the full IonQ Cloud backend, which includes its own transpilation and compilation pipeline. As such, IonQ provider backends have a broad set of "basis gates" that they will accept — effectively anything the IonQ API will accept. They are
ccx, ch, cnot, cp, crx, cry, crz, csx, cx, cy, cz, h, i, id, mcp, mct, mcx, measure, p, rx, rxx, ry, ryy, rz, rzz, s, sdg, swap, sx, sxdg, t, tdg, toffoli, x, y and
If you have circuits that you'd like to run on IonQ backends that use other gates than this (
iswap for example), you will either need to manually rewrite the circuit to only use the above list, or use the Qiskit transpiler, per the example below. Please note that not all circuits can be automatically transpiled.
If you'd like lower-level access—the ability to program in native gates and skip our compilation/transpilation pipeline—please reach out to your IonQ contact for further information.
from qiskit import QuantumCircuit, transpile from math import pi qc2 = QuantumCircuit(1, 1) qc2.u(pi, pi/2, pi/4, 0) qc2.measure(0,0) transpiled_circuit = transpile(qc2, simulator_backend)
If you'd like to contribute to the IonQ Provider, please take a look at the contribution guidelines. This project adheres the Qiskit Community code of conduct. By participating, you are agreeing to uphold this code.
If you have an enhancement request or bug report, we encourage you to open an issue in this repo's issues tracker. If you have a support question or general discussion topic, we recommend instead asking on the Qiskit community slack (you can join using this link) or the Quantum Computing StackExchange.
This package uses the pytest test runner, and other packages
for mocking interfactions, reporting coverage, etc.
These can be installed with
pip install -r requirements-test.txt.
To use pytest directly, just run:
Alternatively, you may use the setuptools integration by running tests through
python setup.py test --addopts="[pytest-args]"
Global pytest fixtures for the test suite can be found in the top-level test/conftest.py file.
To build the API reference and quickstart docs, run:
pip install -r requirements-docs.txt make html open build/html/index.html
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