Function whose period we want to find. Args: x (int): integer in {0,..,15} Returns: integer in {0,..,3}

Convenience function that nicely formats a PennyLane tensor observable as a Pauli word

Generate a list containing random graphs generated by Networkx.

Generate a normal time series data set where each of the p elements is drawn from a normal distribution x_t ~ N(0, noise_amp).

Get the anomaly scores assigned to input normal and anomalous time series instances. model_params is a dictionary containing the optimal model par

Construct HGP code parity check matrices.

Differentiable normalization to +/- 1 outputs (shifted sigmoid)

Plot a function and a model of the function as well as its deviation.

Plot data with red/blue values for a binary classification. Args: x (array[tuple]): array of data points as tuples y (array[

convert raw data to vectors of means and variances of each qubit

Compute the unitary time evolution matrix of the pulse for given parameters.

Prepare the example MPS Ψ(g) on N qubits where N is the length of the passed wires minus 2. The bond qubits are still entangled.

Standard error = sample standard deviation / sqrt(sample size)

Tests on a given set of data. Args: params (array[float]): array of parameters x (array[float]): 2-d array of input vectors

Uncomputes weight register.

Time-dependent shot distribution.

VQE Optimization loop

Use heuristic gamma = 1 / (d * var) for RBF kernel on Pauli space.

The jth node of Chebyshev polynomial 2^N - 1.

Generates a dataset of points with 1/0 labels inside a given radius. Args: samples (int): number of samples to generate cent

Compute how many circuit evaluations are needed for variational training and prediction.

Plot two sets of functions next to each other and show their difference (in pairs).

Computes the output of the corresponding label in the qcnn

Convert a density matrix to a Bloch vector.

Implement the Draper adder for qubit registers of different sizes using PennyLane. Args: wires_a (list): Wires for the first registe

Circuit that uses the permutation equivariant embedding

Some function.

initial guess = [A, omega, phi]

Formats a state vector as a dictionary of bit-strings and amplitudes.

Generate an anomalous time series data set where the p elements of each sequence are from a normal distribution x_t ~ N(0, noise_amp). Then, a

generate a random circuit that returns a number of measurement samples given by shots