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Register on https://app.bluequbit.io and copy the API token.
Install Python SDK from PyPI:
pip install bluequbit
import qiskit
import bluequbit
bq_client = bluequbit.init("<token>")
qc_qiskit = qiskit.QuantumCircuit(2)
qc_qiskit.h(0)
qc_qiskit.x(1)
job_result = bq_client.run(qc_qiskit, job_name="testing_1")
state_vector = job_result.get_statevector()
# returns a NumPy array of [0. +0.j 0. +0.j 0.70710677+0.j 0.70710677+0.j]
import pennylane as qml
from pennylane import numpy as np
dev = qml.device('bluequbit.cpu', wires=1, token="<token>")
@qml.qnode(dev)
def circuit(angle):
qml.RY(angle, wires=0)
return qml.probs(wires=0)
probabilities = circuit(np.pi / 4)
# returns a NumPy array of [0.85355339 0.14644661]
To use the Pennylane plugin, you must have pennylane
version 0.37 or above installed.
Please find detailed reference at https://app.bluequbit.io/sdk-docs.
Please submit questions and issues to info@bluequbit.io.
FAQs
Python SDK to BlueQubit app
We found that bluequbit demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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