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README.rst

@@ -53,7 +53,7 @@ PennyLane-Lightning high performance simulators include the following backends:
 * ``lightning.qubit``: a fast state-vector simulator written in C++ with optional `OpenMP <https://www.openmp.org/>`_ additions and parallelized gate-level SIMD kernels.
 * ``lightning.gpu``: a state-vector simulator based on the `NVIDIA cuQuantum SDK <https://developer.nvidia.com/cuquantum-sdk>`_. It notably implements a distributed state-vector simulator based on `MPI <https://www.mpi-forum.org/docs/>`_.
 * ``lightning.kokkos``: a state-vector simulator written with `Kokkos <https://kokkos.github.io/kokkos-core-wiki/index.html>`_. It can exploit the inherent parallelism of modern processing units supporting the `OpenMP <https://www.openmp.org/>`_, `CUDA <https://developer.nvidia.com/cuda-toolkit>`_ or `HIP <https://rocm.docs.amd.com/projects/HIP/en/latest/>`_ programming models.
-* ``lightning.tensor``: a tensor network simulator based on the `NVIDIA cuQuantum SDK <https://developer.nvidia.com/cuquantum-sdk>`_ (requires NVIDIA GPUs with SM 7.0 or greater). The supported methods are Matrix Product State (MPS) and Exact Tensor Network (TN).
+* ``lightning.tensor``: a tensor network simulator based on the `NVIDIA cuQuantum SDK <https://developer.nvidia.com/cuquantum-sdk>`_. The supported methods are Matrix Product State (MPS) and Exact Tensor Network (TN).
 
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pennylane_lightning/lightning_tensor/_tensornet.py

@@ -144,7 +144,9 @@ class LightningTensorNet:
             competitive compared with CPUs) for simulating circuits with low bond dimensions and/or circuit
             layers with a single or few gates because the arithmetic intensity is lower.
         cutoff (float): The threshold used to truncate the singular values of the MPS tensors. Default is 0.
-        cutoff_mode (str): Singular value truncation mode for MPS tensors. Options:[``"rel"``, ``"abs"`` (default)].
+        cutoff_mode (str): Singular value truncation mode for MPS tensors can be done either by
+            considering the absolute values of the singular values (``"abs"``) or by considering
+            the relative values of the singular values (``"abs"``). Default is ``"abs"``.
     """
 
     # pylint: disable=too-many-arguments, too-many-positional-arguments

pennylane_lightning/lightning_tensor/lightning_tensor.py

@@ -227,7 +227,7 @@ class LightningTensor(Device):
         shots (int):  Measurements are performed drawing ``shots`` times from a discrete random variable distribution associated with a state vector and an observable. Defaults to ``None`` if not specified. Setting
             to ``None`` results in computing statistics like expectation values and
             variances analytically.
-        method (str): Supported method. The supported methods are ``"mps"`` (Matrix Product State) (default) and ``"tn"`` (Exact Tensor Network).
+        method (str): Supported method. The supported methods are ``"mps"`` (Matrix Product State) and ``"tn"`` (Exact Tensor Network). Default is ``"mps"``.
         c_dtype: Datatypes for the tensor representation. Must be one of
             ``numpy.complex64`` or ``numpy.complex128``. Default is ``numpy.complex128``.
     Keyword Args: