qrisp.QuantumArray.most_likely#
- QuantumArray.most_likely(**kwargs)[source]#
Performs a measurement and returns the most likely outcome.
- Parameters:
- **kwargsKeyword arguments for the get_measurement call.
Examples
>>> from qrisp import QuantumFloat, QuantumArray, ry >>> import numpy as np >>> qa = QuantumArray(QuantumFloat(3), shape = 4) >>> ry(np.pi*9/8, qa[0][0]) >>> print(qa) {OutcomeArray([1, 0, 0, 0]): 0.9619, OutcomeArray([0, 0, 0, 0]): 0.0381} >>> qa.most_likely() OutcomeArray([1, 0, 0, 0])