Integrate Automated QDQ placement tool - part 4.3 (#843)

## What does this PR do?

This PR upload user guide of Automated QDQ placement tool. This tool
automatically search QDQ insertion points with better performance.

**Overview:** ?

## Usage
<!-- You can potentially add a usage example below. -->

```python
# Add a code snippet demonstrating how to use this
```

## Testing
<!-- Mention how have you tested your change if applicable. -->

## Before your PR is "*Ready for review*"
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- **Make sure you read and follow [Contributor
guidelines](https://github.com/NVIDIA/Model-Optimizer/blob/main/CONTRIBUTING.md)**
and your commits are signed.
- **Is this change backward compatible?**: Yes/No <!--- If No, explain
why. -->
- **Did you write any new necessary tests?**: Yes/No
- **Did you add or update any necessary documentation?**: Yes/No
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[Changelog](https://github.com/NVIDIA/Model-Optimizer/blob/main/CHANGELOG.rst)?**:
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## Additional Information
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<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **Documentation**
* Added comprehensive guide for Automated Q/DQ Placement Optimization
workflow, including quick start instructions, advanced usage patterns,
configuration options, best practices, and troubleshooting.

* **New Features**
  * Exposed public API for CLI parser programmatic access.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->

---------

Signed-off-by: Will Guo <willg@nvidia.com>
Signed-off-by: Gwena Cunha <4861122+gcunhase@users.noreply.github.com>
Co-authored-by: Gwena Cunha <4861122+gcunhase@users.noreply.github.com>
Co-authored-by: Keval Morabia <28916987+kevalmorabia97@users.noreply.github.com>

Author: 3 people