qiskit-documentation/docs/api/qiskit/0.41/qiskit.providers.Options.mdx

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---
title: Options
description: API reference for qiskit.providers.Options
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.providers.Options
---
# Options
<Class id="qiskit.providers.Options" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.23/qiskit/providers/options.py" signature="Options(**kwargs)" modifiers="class">
Bases: `object`
Base options object
This class is the abstract class that all backend options are based on. The properties of the class are intended to be all dynamically adjustable so that a user can reconfigure the backend on demand. If a property is immutable to the user (eg something like number of qubits) that should be a configuration of the backend class itself instead of the options.
## Methods
### get
<Function id="qiskit.providers.Options.get" signature="Options.get(field, default=None)">
Get an option value for a given key.
</Function>
### set\_validator
<Function id="qiskit.providers.Options.set_validator" signature="Options.set_validator(field, validator_value)">
Set an optional validator for a field in the options
Setting a validator enables changes to an options values to be validated for correctness when [`update_options()`](qiskit.providers.Options#update_options "qiskit.providers.Options.update_options") is called. For example if you have a numeric field like `shots` you can specify a bounds tuple that set an upper and lower bound on the value such as:
```python
options.set_validator("shots", (1, 4096))
```
In this case whenever the `"shots"` option is updated by the user it will enforce that the value is >=1 and \<=4096. A `ValueError` will be raised if its outside those bounds. If a validator is already present for the specified field it will be silently overriden.
**Parameters**
* **field** (*str*) The field name to set the validator on
* **validator\_value** (*list or tuple or type*) The value to use for the validator depending on the type indicates on how the value for a field is enforced. If a tuple is passed in it must have a length of two and will enforce the min and max value (inclusive) for an integer or float value option. If its a list it will list the valid values for a field. If its a `type` the validator will just enforce the value is of a certain type.
**Raises**
* **KeyError** If field is not present in the options object
* **ValueError** If the `validator_value` has an invalid value for a given type
* **TypeError** If `validator_value` is not a valid type
</Function>
### update\_options
<Function id="qiskit.providers.Options.update_options" signature="Options.update_options(**fields)">
Update options with kwargs
</Function>
## Attributes
### validator
<Attribute id="qiskit.providers.Options.validator" />
</Class>