Jupyter kernel
Limitations

Notebook execution

The kernel is able to execute only one cell. All the code including imports should be in a single cell:

from qiskit import QuantumCircuit, transpile
from qiskit_aer import Aer, AerSimulator, AerError
import os
 
def demo_function(shotsAmount=1000):
    simulator = AerSimulator(method='statevector', device='GPU')
 
    circuit = QuantumCircuit(2, 2)
    circuit.h(0)
    circuit.cx(0, 1)
    circuit.measure([0, 1], [0, 1])
 
    compiled_circuit = transpile(circuit, simulator)
    job = simulator.run(compiled_circuit, shots=shotsAmount)
    result = job.result()
    counts = result.get_counts()
 
    print("Total count for 00 and 11 are:", counts)
    print(circuit)
    return counts
 
result = demo_function(2000)

Notebook magic commands are not supported:

%pip install qiskit

Dependencies

The default container image used to run the circuits in the cluster is currently hardcoded with the following dependencies:

qiskit==1.0.0
qiskit-aer-gpu==0.13.3
qiskit_algorithms
qiskit_ibm_runtime
numpy
networkx

You can chnage the dependencies by creating a custom image and using it in the Jupyter container.

Custom imagesRun programs