Optimization of readout resonator coupling with capacitance target

%load_ext autoreload
%autoreload 2

Rendering the design

import names as n
import design as d
from qdesignoptimizer.utils.chip_generation import create_chip_base

design, gui = create_chip_base(n.CHIP_NAME, d.chip_type, open_gui=True)
d.render_qiskit_metal_design(design, gui)

Creating the study and optimization targets

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

MINI_STUDY_GROUP = n.NBR_1
MINI_STUDY = ms.get_mini_study_resonator_capacitance(group=MINI_STUDY_GROUP)
RENDER_QISKIT_METAL = lambda design, **kwargs: d.render_qiskit_metal_design(
    design, gui, **kwargs
)

opt_targets = ot.get_opt_target_capacitance(group=MINI_STUDY_GROUP)

Creating design analysis objects

import time
import parameter_targets as pt
import plot_settings as ps

from qdesignoptimizer.design_analysis import DesignAnalysis, DesignAnalysisState
from qdesignoptimizer.utils.utils import get_save_path

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

close_ansys()

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

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_CAPACITANCE,
)

Optimization step

# number of runs of optimization and number of passes for simulation at each run
nbr_iterations = 15
group_passes_cap = 8

for i in range(nbr_iterations):
    design_analysis.update_nbr_passes_capacitance_ministudies(group_passes_cap)
    design_analysis.optimize_target({}, {})
    design_analysis.screenshot(gui=gui, run=i)

Results

Cross Kerr

design_analysis.get_cross_kerr_matrix(iteration=-1)

Update parameters

design_analysis.overwrite_parameters()

Close

close_ansys()

Example result