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# tfq.math.mps_1d_sampled_expectation

Calculate the expectation value of circuits using samples.

Simulate the final state of `programs` given `symbol_values` are placed inside of the symbols with the name in `symbol_names` in each circuit. Them, sample the resulting state `num_samples` times and use these samples to compute expectation values of the given `pauli_sums`. Note that this op requires 1D non periodic circuits.

`programs` `tf.Tensor` of strings with shape [batch_size] containing the string representations of the circuits to be executed.
`symbol_names` `tf.Tensor` of strings with shape [n_params], which is used to specify the order in which the values in `symbol_values` should be placed inside of the circuits in `programs`.
`symbol_values` `tf.Tensor` of real numbers with shape [batch_size, n_params] specifying parameter values to resolve into the circuits specificed by programs, following the ordering dictated by `symbol_names`.
`pauli_sums` `tf.Tensor` of strings with shape [batch_size, n_ops] containing the string representation of the operators that will be used on all of the circuits in the expectation calculations.
`num_samples` `tf.Tensor` with `num_samples[i][j]` is equal to the number of samples to draw in each term of `pauli_sums[i][j]` when estimating the expectation. Therefore, `num_samples` must have the same shape as `pauli_sums`.
`bond_dim` Integer value used for the bond dimension during simulation.

`tf.Tensor` with shape [batch_size, n_ops] that holds the expectation value for each circuit with each op applied to it (after resolving the corresponding parameters in).

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