qiskit-ibm-runtime

import os from qiskit import QuantumCircuit from qiskit_ibm_runtime import QiskitRuntimeService, SamplerV2 as Sampler, Session # Set your IBM Quantum Platform API token and instance CRN as environment variables # Or save them locally with QiskitRuntimeService.save_account(token="YOUR_API_TOKEN", instance="YOUR_CRN") # API token: From your IBM Quantum Platform account page (https://quantum.ibm.com/account) # CRN: From the Instances page on the IBM Quantum Platform (e.g., ibm-q/open/main) # Initialize the service (ensure API token and instance are set via env vars or saved) service = QiskitRuntimeService(channel="ibm_quantum_platform") # Get a least busy backend that supports Sampler backend = service.least_busy(simulator=False, min_num_qubits=2, max_credits=10) print(f"Using backend: {backend.name}") # Create a simple Bell state circuit qc = QuantumCircuit(2) qc.h(0) qc.cx(0, 1) qc.measure_all() # Define the input for Sampler (a PUB: Primitive Unified Bloc) pubs = [(qc,)] # A single circuit to run # Run the circuit using SamplerV2 within a session with Session(service=service, backend=backend) as session: sampler = Sampler() job = sampler.run(pubs=pubs) print(f"Job ID: {job.job_id}") result = job.result() # Get the quasi-probability distribution result for the first PUB quasi_dists = result[0].data.meas.get_counts() print(f"Quasi-probability distribution: {quasi_dists}")