quspin.basis.basis_zeros

quspin.basis.basis_zeros(shape, dtype=uint32)

Allocates initialized array using the QuSpin basis integers.

QuSpin uses non-standard numpy datatypes which wrap boost multiprecision integers. This function creates an array of integers which are properly initialized to 0.

Parameters:

shape: tuple

shape of the numpy array.

dtype: numpy.dtype, optional

numpy dtype used to create the array, one can use QuSpin defined dtypes here: uint32, uint64, uint256, uint1024, uint4096, or uint16384.

Returns:

numpy.array object

a properly initialized array of type dtype initialized to 0.

Examples

>>> a = basis_zeros((100,))