Can I use Microsoft.AI.MachineLearning(WinML) interfaces to enable OnnxRuntime-QNN-EP(Qualcomm NPU) or other no-DirectX EP ?

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### Describe the feature request

Can I use Microsoft.AI.MachineLearning(WinML) interfaces to enable OnnxRuntime-QNN-EP(Qualcomm NPU) or other no-DirectX EP ?

1. From "windows-ml/get-started", we can see 2 solutions: In-box vs NuGet
https://learn.microsoft.com/en-us/windows/ai/windows-ml/get-started

2. In-box: OnnxRuntime as a part of Windows, we can't change. so it's no chance to use myself built OnnxRuntime with QNN-EP.

3. NuGet: Microsoft.ai.machinelearning.dll does not contain an embedded ONNX runtime, instead the ONNX runtime is built into a file: onnxruntime.dll.

and maybe we can replace the onnxruntime.dll to myself built OnnxRuntime with QNN-EP.
but the WinML interface: public enum LearningModelDeviceKind, only support 4 kinds: 0 Default, 1 Cpu, 2 DirectX, 3 DirectXHighPerformance, 4 DirectXMinPower.
But there is no option for QNN-EP or other EP in the LearningModelDeviceKind enumeration.

So can I use Microsoft.AI.MachineLearning(WinML) interfaces to enable OnnxRuntime-QNN-EP(Qualcomm NPU) or other no-DirectX EP?

### Describe scenario use case

Windows: Microsoft.AI.MachineLearning(WinML) interfaces to enable OnnxRuntime-QNN-EP(Qualcomm NPU) or other no-DirectX EP

Start with the Windows ML get-started documentation and the Microsoft.AI.MachineLearning LearningModelDeviceKind interface described in the issue. Check whether replacing onnxruntime.dll with a QNN-EP build is supported for NuGet-based WinML, and document a supported integration path or the limitation.

Written by the indexing model from the issue text.