random_non_hermitian
random_non_hermitian(N, M=None, sings=None, K=None, srange=None, sparsity=None, trunc=None)
Generate random (sparse) matrix with given properties (singular values). Sparsity is achieved by truncating Pauli matrices. Sparsity settings alternate the singular values due to truncation.
Parameters
- N (int) – size of matrix
- M (int) – size of matrix
- sings (Union(list, tuple, np.ndarray)) – list of N singular values. Overrides K, srange.
- K (Union(float, list, tuple)) – condition number. Either use only condition number K or list/tuple of (K, lmin). Where lmin specifies the smallest singular value.
- srange (Union(list, tuple, nd.ndarray)) – [min, max] list for singular value range, min >= 0. (default=[0, 1]).
- sparsity (float) – sparsity of matrix. Overrides trunc.
- trunc (int) – limit of Pauli matrices.
Returns
random matrix
Return type
np.ndarray
Raises:
ValueError: invalid matrix
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