qml.math.svd

svd(tensor, like=None, **kwargs)

Compute the singular value decomposition of a tensor in each interface.

The singular value decomposition for a matrix $A$ consist of three matrices $S$, $U$ and $V_h$, such that:

$$A = U \cdot Diag(S) \cdot V_h$$

Parameters

• tensor (tensor_like) – input tensor

• compute_uv (bool) – if True, the full decomposition is returned

Returns

full decomposition if compute_uv is True or None, or only the singular values if compute_uv is False

Return type

$S$, $U$ and $V_h$ or $S$

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