mindquantum.utils.random_state

mindquantum.utils.random_state(shapes, norm_axis=0, comp=True, seed=None)[source]

Generate some random quantum state.

Parameters

shapes (tuple) – shapes = (m, n) means m quantum states with each state formed by \(\log_2(n)\) qubits.
norm_axis (int) – which axis you want to apply normalization. Default: 0.
comp (bool) – if True, each amplitude of the quantum state will be a complex number. Default: True.
seed (int) – the random seed. Default: None.

Returns

numpy.ndarray, A normalized random quantum state.

Examples

>>> from mindquantum.utils import random_state
>>> random_state((2, 2), seed=42)
array([[0.44644744+0.18597239j, 0.66614846+0.10930256j],
       [0.87252821+0.06923499j, 0.41946926+0.60691409j]])