Resonator Kappa through capacitance matrix simulation
[ ]:
%load_ext autoreload
%autoreload 2
Rendering the design
[ ]:
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
[ ]:
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_res_feedline(group=MINI_STUDY_GROUP)
RENDER_QISKIT_METAL = lambda design, **kwargs: render_qiskit_metal_design(
design, gui, **kwargs
)
opt_targets = ot.get_opt_target_res_kappa_feedline(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_RESONATOR_KAPPA,
)
Optimization step
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# number of runs of optimization and number of passes for simulation at each run
nbr_iterations = 10
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
[ ]:
from qdesignoptimizer.utils.utils import close_ansys
close_ansys()