Add GPU device compute capability check for LTensor (#803)

### Before submitting

Please complete the following checklist when submitting a PR:

- [ ] All new features must include a unit test.
If you've fixed a bug or added code that should be tested, add a test to
the
      [`tests`](../tests) directory!

- [ ] All new functions and code must be clearly commented and
documented.
If you do make documentation changes, make sure that the docs build and
      render correctly by running `make docs`.

- [ ] Ensure that the test suite passes, by running `make test`.

- [x] Add a new entry to the `.github/CHANGELOG.md` file, summarizing
the
      change, and including a link back to the PR.

- [x] Ensure that code is properly formatted by running `make format`. 

When all the above are checked, delete everything above the dashed
line and fill in the pull request template.


------------------------------------------------------------------------------------------------------------

**Context:**

Add GPU device compute capability check. L-Tensor has device compute
capability check like L-GPU now.
[SC-69118]

**Description of the Change:**

**Benefits:**

Error will be raised when running `lightning.tensor` on a unsupported
GPU.

**Possible Drawbacks:**

**Related GitHub Issues:**

#799

---------

Co-authored-by: ringo-but-quantum <[email protected]>

.github/CHANGELOG.md

@@ -15,6 +15,9 @@
 
 ### Improvements
 
+* Add GPU device compute capability check for Lightning-Tensor.
+  [(#803)](https://github.com/PennyLaneAI/pennylane-lightning/pull/803)
+
 * Refactor CUDA utils Python bindings to a separate module.
   [(#801)](https://github.com/PennyLaneAI/pennylane-lightning/pull/801)
 

pennylane_lightning/core/_version.py

@@ -16,4 +16,4 @@
    Version number (major.minor.patch[-label])
 """
 
-__version__ = "0.38.0-dev9"
+__version__ = "0.38.0-dev10"

pennylane_lightning/lightning_tensor/lightning_tensor.py

@@ -39,7 +39,14 @@
 
 try:
     # pylint: disable=import-error, unused-import
-    from pennylane_lightning.lightning_tensor_ops import backend_info
+    from pennylane_lightning.lightning_tensor_ops import (
+        backend_info,
+        get_gpu_arch,
+        is_gpu_supported,
+    )
+
+    if not is_gpu_supported():  # pragma: no cover
+        raise ValueError(f"CUDA device is an unsupported version: {get_gpu_arch()}")
 
     LT_CPP_BINARY_AVAILABLE = True
 except ImportError: