This project has been archived by its maintainers, and is no longer receiving any updates.
⚠️ DEPRECATED ⚠️
This package has been deprecated and is no longer maintained.
Please migrate to the new package:
- PyPI:
qhub-quantumInstall the new package:
pip install qhub-quantum
PLANQK Quantum SDK
The PLANQK Quantum SDK is for developing quantum circuits using Qiskit to be run on quantum devices provided by the PLANQK Platform. This library is an extension for Qiskit. This means that you are able to seamlessly integrate and reuse your existing Qiskit code, leveraging the power and familiarity of a framework you are already accustomed to.
Getting Started
Check out the following guides on how to get started with PLANQK:
Installation
The package is released on PyPI and can be installed via pip:
pip install --upgrade planqk-quantum
To install a pre-release version, use the following command:
pip install --pre --upgrade planqk-quantum
Usage
Working with Qiskit Backends
You can execute a Qiskit circuit on a selected backend, retrieve its job object, and its results:
from planqk.quantum.sdk import PlanqkQuantumProvider
from qiskit import QuantumCircuit, transpile
# Initialize the provider
provider = PlanqkQuantumProvider()
# Select a backend, full list of backends can be found at https://platform.planqk.de/quantum-backends
backend = provider.get_backend("azure.ionq.simulator")
# Create a Qiskit circuit
circuit = QuantumCircuit(3, 3)
circuit.h(0)
circuit.cx(0, 1)
circuit.cx(1, 2)
circuit.measure(range(3), range(3))
# Transpile the circuit for the selected backend
circuit = transpile(circuit, backend)
# Execute the circuit on the selected backend
job = backend.run(circuit, shots=100)
# Monitor job status and get results
print(f"Status: {job.status()}")
print(f"Result: {job.result()}")
Working with Braket Devices
You can execute a Braket circuit on a selected device, retrieve its task object, and its results:
from braket.circuits import Circuit
from planqk.quantum.sdk import PlanqkBraketProvider
# Select the IonQ Forte device
device = PlanqkBraketProvider().get_device("aws.ionq.forte")
# Create a Braket circuit
circuit = Circuit().h(0).cnot(0, 1).cnot(1, 2)
# Execute the circuit with 100 shots
task = device.run(circuit, 100)
# Monitor task status and get results
print(f"Status: {task.state()}")
print(f"Result: {task.result()}")
Development
To create a new virtual environment, for example, run:
uv venv
uv sync
Then, to activate the environment:
source .venv/bin/activate
Update dependencies and lock files:
uv sync -U
5 maintainers
Metadata
5 maintainers
Release files for planqk-quantum 3.1.2
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|---|---|---|---|---|
| planqk_quantum-3.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 294.2 kB
Release files / planqk_quantum-3.1.2.tar.gz
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