Eigenmode simulation of single qubit with readout resonator

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%load_ext autoreload
%autoreload 2

Rendering the design

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from chip_initialization import create_chip_and_gui

design, gui = create_chip_and_gui()

from design import render_qiskit_metal_design

render_qiskit_metal_design(design, gui)

Creating the study and optimization targets

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import names as n
import mini_studies as ms
import optimization_targets as ot

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MINI_STUDY_GROUP = n.NBR_1
MINI_STUDY = ms.get_mini_study_qb_res(group=MINI_STUDY_GROUP)
RENDER_QISKIT_METAL = lambda design: render_qiskit_metal_design(design, gui)


opt_targets = ot.get_opt_targets_2qubits_resonator_coupler(
    groups=[MINI_STUDY_GROUP],
    opt_target_qubit_freq=True,
    opt_target_qubit_anharm=True,
    opt_target_resonator_freq=True,
    opt_target_resonator_kappa=True,
    opt_target_resonator_qubit_chi=True,
    use_simple_resonator_qubit_chi_relation=True,
)

Creating design analysis objects

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import time
import parameter_targets as pt
import plot_settings as ps

from qdesignoptimizer.design_analysis import DesignAnalysis, DesignAnalysisState
from qiskit_metal.qlibrary.couplers.coupled_line_tee import CoupledLineTee
from design import CoupledLineTee_mesh_names
from qdesignoptimizer.design_analysis_types import MeshingMap

from qdesignoptimizer.utils.utils import get_save_path

# Closing Ansys hfss
from qdesignoptimizer.utils.utils import close_ansys

close_ansys()

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design_analysis_state = DesignAnalysisState(
    design, RENDER_QISKIT_METAL, pt.PARAM_TARGETS
)

# map for finer meshing
meshing_map = [
    MeshingMap(component_class=CoupledLineTee, mesh_names=CoupledLineTee_mesh_names)
]

design_analysis = DesignAnalysis(
    design_analysis_state,
    mini_study=MINI_STUDY,
    opt_targets=opt_targets,
    save_path=get_save_path("out/", n.CHIP_NAME),
    update_design_variables=False,
    plot_settings=ps.PLOT_SETTINGS,
    meshing_map=meshing_map,
)

Optimization step

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# number of runs of optimization and number of passes for simulation at each run
nbr_iterations = 15
group_passes = 8
delta_f = 0.001
for i in range(nbr_iterations):
    design_analysis.update_nbr_passes(group_passes)
    design_analysis.update_delta_f(delta_f)
    design_analysis.optimize_target({}, {})
    design_analysis.screenshot(gui=gui, run=i)

Results

Eigenmodes

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design_analysis.get_eigenmode_results()

Cross Kerr

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design_analysis.get_cross_kerr_matrix(iteration=-1)

Update parameters

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design_analysis.overwrite_parameters()

Close

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close_ansys()