sf.parameters.par_evaluate

par_evaluate(params, dtype=None)

Evaluate an Operation parameter sequence.

Any parameters descending from sympy.Basic are evaluated, others are returned as-is. Evaluation means that free and measured parameters are replaced by their numeric values. NumPy object arrays are evaluated elementwise.

Alternatively, evaluates a single parameter and returns its value.

Parameters

• params (Sequence[Any]) – parameters to evaluate

• dtype (None, np.dtype, tf.dtype) – NumPy or TensorFlow datatype to optionally cast atomic symbols to before evaluating the parameter expression. Note that if the atom is a TensorFlow tensor, a NumPy datatype can still be passed; tensorflow.dtype.as_dtype() is used to determine the corresponding TensorFlow dtype internally.

Returns

evaluated parameters

Return type

list[Any]

code/api/strawberryfields.parameters.par_evaluate

 

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