pennylane_calculquebec.utility.graph.calculate_score

pennylane_calculquebec.utility.graph.calculate_score(source: int, graph: Graph, machine_name: str, use_benchmark=True) → float

Defines a score for a node by using cz fidelities on neighbouring couplers and state 1 readout fidelity

the bigger the better

Parameters:

• source (int) – the node you want to define a cost for

• graph (nx.Graph) – the graph in which the node you want to define a cost for is

• machine_name (str) – the quantum machine’s name

• use_benhmark (bool) – should we use real benchmark for this operation?

Returns:

a cost, where the highest cost is the best one.

Return type:

float