> ## Documentation Index
> Fetch the complete documentation index at: https://prod-mint.classiq.io/llms.txt
> Use this file to discover all available pages before exploring further.

# 1.7.0

Released on 2026-03-23.

## Upgrade Instructions

* [Python SDK](../getting-started/registration_installations.md/#platform-version-updates)
* The IDE upgrades automatically.

## Enhancements

* **IBM execution – emulate:** Add optional `emulate` on `IBMBackendPreferences` and `IBMConfig`. Set `emulate=True` (default `False`) to run on Classiq AerSimulator with an IBM noise model derived from the backend name (e.g. `ibm_pittsburgh`, `ibm_boston`). Only valid for real IBM hardware backends (not fake backends); backend name must be in `CLASSIQ_NOISE_MODELS`. See [IBM backends](../user-guide/execution/cloud-providers/ibm-backends.md) for details.
* Add `ExecutionJob.get_submitted_circuits()` to return the final quantum circuits submitted to the provider (sample jobs only). The returned circuits reflect the actual QASM after transpilation and parameter assignment. Each circuit can be converted to QASM via `to_qasm()` or to a Qiskit `QuantumCircuit` via `to_qiskit()`.
* **Amplitude threshold for state vector simulation:** Added `amplitude_threshold` to `ExecutionPreferences`. When running state vector simulation, only states with amplitude magnitude strictly greater than the threshold are included in the result. Defaults to `0` (filters exactly zero-amplitude states, same as before). Setting a higher threshold reduces the size of the result for circuits where most amplitudes are negligibly small. `include_zero_amplitude_outputs=True` overrides this and includes all states regardless of amplitude. See [State Vector Filtering](../user-guide/execution/state-vector-filtering.md) for details.
* QP Visualization: Fixed bug in the visualization of split operations
* Add `estimate_sample_cost` and `estimate_sample_batch_cost` to the Python SDK for user-facing cost estimation before executing quantum programs. These functions return a `CostEstimateResult` with `cost` and `currency` fields. See [SDK execution reference](../sdk-reference/execution.md) for details.

## Bug Fixes

* Fix error messages when calling built-in operations with the wrong number of arguments.
* **IonQ execution:** Replaced explicit `noise_model` with an `emulate` flag on `IonqBackendPreferences` and `IonQConfig`. Set `emulate=True` (default `False`) to run on the IonQ simulator with a noise model derived from the backend name (e.g. `qpu.aria-1` → `aria-1`). Only valid when the backend is a QPU. See [IonQ backends](../user-guide/execution/cloud-providers/ionq-backends.md/#usage) for details.
* **QLayer check-pointing**: Prefer saving only weights with `torch.save(model.state_dict(), path)` and `model.load_state_dict(torch.load(path))`. For whole-model save/load, if `post_process` is not picklable it is omitted and a warning is logged; after load call `layer.register_post_process(your_post_process)` before using the model. New constructor option `serializable_post_process=False` skips pickling `post_process` and suppresses the warning when you know it is not serializable.
* Add `estimate_sample_cost` and `estimate_sample_batch_cost` to the Python SDK for user-facing cost estimation before executing quantum programs. These functions return a `CostEstimateResult` with `cost` and `currency` fields. See [SDK execution reference](../sdk-reference/execution.md) for details.