tfq.math.mps_1d_sampled_expectation

Calculate the expectation value of circuits using samples.

tfq.math.mps_1d_sampled_expectation(
    programs, symbol_names, symbol_values, pauli_sums, num_samples, bond_dim=4
)

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).