qrisp.QuantumArray.reshape

QuantumArray.reshape(*args)

Adjusts the shape of the QuantumArray with similar semantics as numpy.ndarray.reshape.

Note

This method never allocates additional qubits and instead returns a “view”,

Parameters:

shapetuple

The target shape.

Returns:

resQuantumArray

The reshaped QuantumArray.

Examples

We create a 1-dimensional QuantumArray with \(2**n\) entries and reshape it into a n dimensional QuantumArray with 2 entries per dimension.

from qrisp import QuantumArray, QuantumFloat
import numpy as np

n = 3
qtype = QuantumFloat(n)
qa = QuantumArray(qtype = qtype, shape = 2**n)
qa[:] = np.arange(2**n)

print(qa)
# Yields:
# {OutcomeArray([0, 1, 2, 3, 4, 5, 6, 7]): 1.0}

We can now reshape:

reshaped_qa = qa.reshape(tuple(n*[2]))
print(reshaped_qa)

# Yields:
# {OutcomeArray([[[0, 1],
#                 [2, 3]],
#                [[4, 5],
#                 [6, 7]]]): 1.0}