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How to get raw I/Q plane data from a job result on IBM hardware?

Quantum Computing SE Archived Apr 27, 2026 ✓ Full text saved

I am struggling to find any information on getting the IQ plane from a job, especially in a Qiskit circuit and ibm hardware. Most of the standard documentation seems to focus on returning binary counts. My focus is not on designing the gate pulse but on using the default pulse and only accessing the raw data instead of getting simply classified binary bits. Is there anyone who knows and can share an up-to-date tutorial or documentation that explains how this raw data can be obtained from a job r

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    How to get raw I/Q plane data from a job result on IBM hardware? Ask Question Asked 2 days ago Modified yesterday Viewed 31 times 1 I am struggling to find any information on getting the IQ plane from a job, especially in a Qiskit circuit and ibm hardware. Most of the standard documentation seems to focus on returning binary counts. My focus is not on designing the gate pulse but on using the default pulse and only accessing the raw data instead of getting simply classified binary bits. Is there anyone who knows and can share an up-to-date tutorial or documentation that explains how this raw data can be obtained from a job result on IBM hardware using the current Qiskit API? qiskitibm-quantum-devices Share Improve this question Follow asked 2 days ago Zerohun 1265 5 bronze badges 1 See meas_type here: quantum.cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/… –  Yael Ben-Haim Commented yesterday Add a comment 1 Answer Sorted by: Highest score (default) Date modified (newest first) Date created (oldest first) 1 Yes. With the current IBM Runtime API you do not use Pulse or backend.run(..., meas_level=1) for this. Use SamplerV2 and set the sampler execution option meas_type="kerneled". Minimal example from qiskit import ClassicalRegister, QuantumCircuit, QuantumRegister, transpile from qiskit_ibm_runtime import QiskitRuntimeService, SamplerV2 as Sampler service = QiskitRuntimeService() backend = service.backend("ibm_kingston") # choose a backend you can access q = QuantumRegister(1, "q") c = ClassicalRegister(1, "meas") qc = QuantumCircuit(q, c) # For |0>, do nothing. # For |1>, uncomment: # qc.x(q[0]) qc.measure(q[0], c[0]) isa_qc = transpile(qc, backend=backend) sampler = Sampler(mode=backend) sampler.options.execution.meas_type = "kerneled" job = sampler.run([isa_qc], shots=1024) result = job.result() iq = result[0].data.meas.array print(iq.shape) print(iq[:5]) For meas_type="kerneled", iq is a complex NumPy array with shape approximately: (num_shots, classical_register_size) Each entry is one raw kerneled IQ point: I = iq.real Q = iq.imag Relevant IBM docs: SamplerV2: https://quantum.cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/sampler-v2 SamplerExecutionOptionsV2.meas_type: https://quantum.cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/options-sampler-execution-options-v2 Share Improve this answer Follow answered yesterday Bram 1,5618 8 silver badges 10 10 bronze badges 1 I deeply appreciate your answer to this! It just made my day! –  Zerohun Commented 15 hours ago Add a comment Your Answer Sign up or log in Sign up using Google Sign up using Email and Password Post as a guest Name Email Required, but never shown Post Your Answer By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy. Start asking to get answers Find the answer to your question by asking. Ask question Explore related questions qiskitibm-quantum-devices See similar questions with these tags. The Overflow Blog Welcome to the “find out” stage of AI Lights, camera, open source! 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    Apr 25, 2026
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    Apr 27, 2026
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