qrisp.QuantumArray.__gt__

QuantumArray.__gt__(other: QuantumArray | QuantumVariable | 'ArrayLike') → QuantumArray

Performs element-wise > comparison.

Parameters:

otherQuantumArray | QuantumVariable | ArrayLike

The array or scalar to be compared to. If an array is provided, it must have the same shape as the original QuantumArray. If a scalar is provided, it will be compared with each element of the QuantumArray.

Returns:

QuantumArray

A new QuantumArray of QuantumBools containing the result of element-wise >.

Raises:

TypeError

If the qtypes of self and other are incompatible for comparison.

ValueError

If other is an array (QuantumArray or numpy/jax array) and its shape does not match the shape of self.

Examples

Compare two QuantumArrays of QuantumFloats for greater-than:

>>> import numpy as np
>>> from qrisp import QuantumArray, QuantumFloat
>>> a_array = QuantumArray(QuantumFloat(2), shape=(2,2))
>>> b_array = QuantumArray(QuantumFloat(2), shape=(2,2))
>>> a_array[:] = np.array([[0, 1], [2, 3]])
>>> b_array[:] = np.array([[0, 3], [2, 1]])
>>> r_array = a_array > b_array
>>> print(r_array)
# {OutcomeArray([[False, False], [False, True]], dtype=object): 1.0}

Compare a QuantumArray of QuantumFloats to a numpy array:

>>> import numpy as np
>>> from qrisp import QuantumArray, QuantumFloat
>>> a_array = QuantumArray(QuantumFloat(2), shape=(2,2))
>>> a_array[:] = np.array([[0, 1], [2, 3]])
>>> r_array = a_array > np.array([[0, 3], [2, 1]])
>>> print(r_array)
# {OutcomeArray([[False, False], [False, True]], dtype=object): 1.0}