qrisp.vqe.VQEBenchmark.save#

VQEBenchmark.save(filename)[source]#

Saves the data to the harddrive for later use.

Parameters:

filenamestring: The filename where to save the data.

Examples

We create a Heisenberg problem and benchmark several parameters:

from qrisp import QuantumVariable
from qrisp.vqe.problems.heisenberg import *
from networkx import Graph

G = Graph()
G.add_edges_from([(0,1),(1,2),(2,3),(3,4)])

vqe = heisenberg_problem(G,1,0)
H = create_heisenberg_hamiltonian(G,1,0)

benchmark_data = vqe.benchmark(qarg = QuantumVariable(5),
                    depth_range = [1,2,3],
                    precision_range = [0.02,0.01],
                    iter_range = [25,50],
                    optimal_energy = H.ground_state_energy(),
                    repetitions = 2
                    )

To save the results, we call the according method.

benchmark_data.save("example.vqe")