qiskit-documentation/docs/api/qiskit-ibm-runtime/qiskit_ibm_runtime.Batch.mdx

---
title: Batch
description: API reference for qiskit_ibm_runtime.Batch
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit_ibm_runtime.Batch
---

# Batch

<Class id="qiskit_ibm_runtime.Batch" isDedicatedPage={true} github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.25/qiskit_ibm_runtime/batch.py#L23-L110" signature="Batch(service=None, backend=None, max_time=None)" modifiers="class">
  Class for running jobs in batch execution mode.

  The `batch` mode is designed to efficiently perform experiments that comprise multiple independent jobs.

  **Using the `batch` mode provides the following benefits:**

  *   The jobs’ classical computation, such as compilation, is run in parallel. Thus, running multiple jobs in a batch is significantly faster than running them serially.
  *   There is usually minimal delay between job, which can help avoid drift.
  *   If you partition your workload into multiple jobs and run them in `batch` mode, you can get results from individual jobs, which makes them more flexible to work with. For example, if a job’s results do not meet your expectations, you can cancel the remaining jobs, or simply re-submit that individual job and avoid re-running the entire workload.

  All jobs need to be provided at the outset. To submit iterative jobs, use the `session` mode instead.

  You can open a Qiskit Runtime batch by using this `Batch` class, then submit jobs to one or more primitives.

  For example:

  ```python
  from qiskit.circuit.random import random_circuit
  from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
  from qiskit_ibm_runtime import Batch, SamplerV2 as Sampler, QiskitRuntimeService

  service = QiskitRuntimeService()
  backend = service.least_busy(operational=True, simulator=False)
  pm = generate_preset_pass_manager(backend=backend, optimization_level=1)

  # generate fifty unique three-qubit random circuits
  circuits = [pm.run(random_circuit(3, 2, measure=True)) for _ in range(50)]

  # split up the list of circuits into partitions
  max_circuits = 10
  partitions = [circuits[i : i + max_circuits] for i in range(0, len(circuits), max_circuits)]

  # run the circuits in batched mode
  with Batch(backend=backend):
      sampler = Sampler()
      for partition in partitions:
          job = sampler.run(partition)
          pub_result = job.result()[0]
          print(f"Sampler job ID: {job.job_id()}")
          print(f"Counts for the first PUB: {pub_result.data.cr.get_counts()}")
  ```

  For more details, check the “[Run jobs in a batch](/run/run-jobs-batch)” tutorial.

  Batch constructor.

  **Parameters**

  *   **service** (`Optional`\[[`QiskitRuntimeService`](qiskit_ibm_runtime.QiskitRuntimeService "qiskit_ibm_runtime.qiskit_runtime_service.QiskitRuntimeService")]) – Optional instance of the `QiskitRuntimeService` class. If `None`, the service associated with the backend, if known, is used. Otherwise `QiskitRuntimeService()` is used to initialize your default saved account.
  *   **backend** (`Union`\[`str`, `BackendV1`, `BackendV2`, `None`]) – Optional instance of `Backend` class or backend string name.
  *   **max\_time** (`Union`\[`int`, `str`, `None`]) – Maximum amount of time a runtime session can be open before being forcibly closed. Can be specified as seconds (int) or a string like “2h 30m 40s”. This value must be less than the [system imposed maximum](/run/max-execution-time).

  **Raises**

  **ValueError** – If an input value is invalid.

  ## Attributes

  ### service

  <Attribute id="qiskit_ibm_runtime.Batch.service">
    Return service associated with this session.

    **Return type**

    [`QiskitRuntimeService`](qiskit_ibm_runtime.QiskitRuntimeService "qiskit_ibm_runtime.qiskit_runtime_service.QiskitRuntimeService")

    **Returns**

    [`qiskit_ibm_runtime.QiskitRuntimeService`](qiskit_ibm_runtime.QiskitRuntimeService "qiskit_ibm_runtime.QiskitRuntimeService") associated with this session.
  </Attribute>

  ### session\_id

  <Attribute id="qiskit_ibm_runtime.Batch.session_id">
    Return the session ID.

    **Return type**

    `Optional`\[`str`]

    **Returns**

    Session ID. None if the backend is a simulator.
  </Attribute>

  ## Methods

  ### backend

  <Function id="qiskit_ibm_runtime.Batch.backend" github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.25/qiskit_ibm_runtime/session.py#L238-L246" signature="backend()">
    Return backend for this session.

    **Return type**

    `Optional`\[`str`]

    **Returns**

    Backend for this session. None if unknown.
  </Function>

  ### cancel

  <Function id="qiskit_ibm_runtime.Batch.cancel" github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.25/qiskit_ibm_runtime/session.py#L224-L228" signature="cancel()">
    Cancel all pending jobs in a session.

    **Return type**

    `None`
  </Function>

  ### close

  <Function id="qiskit_ibm_runtime.Batch.close" github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.25/qiskit_ibm_runtime/session.py#L230-L236" signature="close()">
    Close the session so new jobs will no longer be accepted, but existing queued or running jobs will run to completion. The session will be terminated once there are no more pending jobs.

    **Return type**

    `None`
  </Function>

  ### details

  <Function id="qiskit_ibm_runtime.Batch.details" github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.25/qiskit_ibm_runtime/session.py#L275-L317" signature="details()">
    Return session details.

    **Return type**

    `Optional`\[`Dict`\[`str`, `Any`]]

    **Returns**

    A dictionary with the sessions details.

    *   `id`: id of the session.
    *   `backend_name`: backend used for the session.
    *   `interactive_timeout`: The maximum idle time (in seconds) between jobs that is allowed to occur before the session is deactivated.
    *   `max_time`: Maximum allowed time (in seconds) for the session, subject to plan limits.
    *   `active_timeout`: The maximum time (in seconds) a session can stay active.
    *   `state`: State of the session - open, active, inactive, or closed.
    *   `accepting_jobs`: Whether or not the session is accepting jobs.
    *   `last_job_started`: Timestamp of when the last job in the session started.
    *   `last_job_completed`: Timestamp of when the last job in the session completed.
    *   `started_at`: Timestamp of when the session was started.
    *   `closed_at`: Timestamp of when the session was closed.
    *   `activated_at`: Timestamp of when the session state was changed to active.
    *   `mode`: Execution mode of the session.
    *   `usage_time`: The usage time, in seconds, of this Session or Batch. Usage is defined as the time a quantum system is committed to complete a job.
  </Function>

  ### from\_id

  <Function id="qiskit_ibm_runtime.Batch.from_id" github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.25/qiskit_ibm_runtime/session.py#L337-L383" signature="from_id(session_id, service=None)" modifiers="classmethod">
    Construct a Session object with a given session\_id

    **Parameters**

    *   **session\_id** (`str`) – the id of the session to be created. This must be an already existing session id.

    *   **service** (`Optional`\[[`QiskitRuntimeService`](qiskit_ibm_runtime.QiskitRuntimeService "qiskit_ibm_runtime.qiskit_runtime_service.QiskitRuntimeService")]) –

        **instance of the `QiskitRuntimeService` class.**

        If `None`, `QiskitRuntimeService()` is used to initialize your default saved account.

        **Raises:**

        IBMInputValueError: If given session\_id does not exist.

    **Return type**

    [`Session`](qiskit_ibm_runtime.Session "qiskit_ibm_runtime.session.Session")

    **Returns**

    A new Session with the given `session_id`
  </Function>

  ### run

  <Function id="qiskit_ibm_runtime.Batch.run" github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.25/qiskit_ibm_runtime/session.py#L159-L217" signature="run(program_id, inputs, options=None, callback=None, result_decoder=None)">
    Run a program in the session.

    **Parameters**

    *   **program\_id** (`str`) – Program ID.
    *   **inputs** (`Dict`) – Program input parameters. These input values are passed to the runtime program.
    *   **options** (`Optional`\[`Dict`]) – Runtime options that control the execution environment. See [`qiskit_ibm_runtime.RuntimeOptions`](qiskit_ibm_runtime.RuntimeOptions "qiskit_ibm_runtime.RuntimeOptions") for all available options.
    *   **callback** (`Optional`\[`Callable`]) – Callback function to be invoked for any interim results and final result.

    **Return type**

    `Union`\[[`RuntimeJob`](qiskit_ibm_runtime.RuntimeJob "qiskit_ibm_runtime.runtime_job.RuntimeJob"), [`RuntimeJobV2`](qiskit_ibm_runtime.RuntimeJobV2 "qiskit_ibm_runtime.runtime_job_v2.RuntimeJobV2")]

    **Returns**

    Submitted job.
  </Function>

  ### status

  <Function id="qiskit_ibm_runtime.Batch.status" github="https://github.com/Qiskit/qiskit-ibm-runtime/tree/stable/0.25/qiskit_ibm_runtime/session.py#L248-L273" signature="status()">
    Return current session status.

    **Return type**

    `Optional`\[`str`]

    **Returns**

    Session status as a string.

    *   `Pending`: Session is created but not active. It will become active when the next job of this session is dequeued.
    *   `In progress, accepting new jobs`: session is active and accepting new jobs.
    *   `In progress, not accepting new jobs`: session is active and not accepting new jobs.
    *   `Closed`: max\_time expired or session was explicitly closed.
    *   `None`: status details are not available.
  </Function>
</Class>