{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Qiskit Metal" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "The autoreload extension is already loaded. To reload it, use:\n", " %reload_ext autoreload\n" ] } ], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Import Qiskit Metal" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import qiskit_metal as metal\n", "from qiskit_metal import designs, draw\n", "from qiskit_metal import MetalGUI, Dict, open_docs\n", "\n", "import pyEPR as epr\n", "from qiskit_metal.renderers.renderer_gds.gds_renderer import QGDSRenderer " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, we import the folders designs, draw, MetalGUI, Dict, and open_docs from the qiskit_metal code." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Quantum Circuit Design (QDesign)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First we need to import all the appropriate components we will need for our quantum circuit from the qlibrary. This device will be a 2D transmon so we will need a transmon, some readout and coupling resonators, some ports, etc." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "#In this device, we will have 1 qubit:\n", "# a crossmon with a flux line, or a cross transmon (which can have up to 3 connectors on its remaining ports)\n", "from qiskit_metal.qlibrary.qubits.transmon_cross_fl import TransmonCrossFL\n", "\n", "#Importing the three different transmission lines we might be using: a meandering CPW, a straight CPW, and a\n", "# pathfinding CPW (which just draws a CPW in a non-meandering way but finds the best path to the next port)\n", "\n", "from qiskit_metal.qlibrary.tlines.meandered import RouteMeander\n", "from qiskit_metal.qlibrary.tlines.pathfinder import RoutePathfinder\n", "from qiskit_metal.qlibrary.tlines.straight_path import RouteStraight\n", "\n", "#Adding the coupling capacitors we would like to use, there will be two kinds: a tee shaped interdigitated\n", "# capacitor and a regular interdigitated\n", "\n", "from qiskit_metal.qlibrary.lumped.cap_n_interdigital import CapNInterdigital\n", "from qiskit_metal.qlibrary.couplers.cap_n_interdigital_tee import CapNInterdigitalTee\n", "\n", "#Adding in the input/output pads to feed/read signals to/from our circuit\n", "\n", "from qiskit_metal.qlibrary.terminations.launchpad_wb import LaunchpadWirebond\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#Now we need to make an instance of our design class and also launch the GUI (gooey)\n", "\n", "#Here we have just a single planar chip\n", "design = metal.designs.DesignPlanar()\n", "\n", "gui = metal.MetalGUI(design)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "#Want to be able to make changes to our circuit as we add components and adjust post-analysis\n", "# so to do this we must give ourselves overwriting ability (which is inherently disabled)\n", "design.overwrite_enabled = True\n", "design.chips.main #this will print out all of our chip details/information\n", "design.delete_all_components() " ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# Creating the desired chip dimensions\n", "design.chips.main.size.size_x = '5mm'\n", "design.chips.main.size.size_y = '6mm'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For our device, we outline our desired parameters:\n", "For the qubit (Q0), we want the frequency to be: 4.8 GHz\n", "Anharmonicity: ~300 Mhz\n", "g (qubit to bus resonator): ~80 MHz\n", "chi: ~1 MHz" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'pos_x': '0.0um',\n", " 'pos_y': '0.0um',\n", " 'orientation': '0.0',\n", " 'chip': 'main',\n", " 'layer': '1',\n", " 'connection_pads': {},\n", " '_default_connection_pads': {'connector_type': '0',\n", " 'claw_length': '30um',\n", " 'ground_spacing': '5um',\n", " 'claw_width': '10um',\n", " 'claw_gap': '6um',\n", " 'connector_location': '0'},\n", " 'cross_width': '20um',\n", " 'cross_length': '200um',\n", " 'cross_gap': '20um',\n", " 'make_fl': True,\n", " 'fl_options': {'t_top': '15um',\n", " 't_offset': '0um',\n", " 't_inductive_gap': '3um',\n", " 't_width': '5um',\n", " 't_gap': '3um'},\n", " 'hfss_wire_bonds': False,\n", " 'q3d_wire_bonds': False,\n", " 'hfss_inductance': '10nH',\n", " 'hfss_capacitance': 0,\n", " 'hfss_resistance': 0,\n", " 'hfss_mesh_kw_jj': 7e-06,\n", " 'q3d_inductance': '10nH',\n", " 'q3d_capacitance': 0,\n", " 'q3d_resistance': 0,\n", " 'q3d_mesh_kw_jj': 7e-06,\n", " 'gds_cell_name': 'my_other_junction'}" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Looking at the options for which we can parameterize our cross transmon\n", "TransmonCrossFL.get_template_options(design)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "#designing the qubits\n", "\n", "q_0 = TransmonCrossFL(design, 'Q_0', options = Dict(\n", " pos_x = '0.5mm',\n", " pos_y = '-1.5mm',\n", " gds_cell_name = 'FakeJunction_2',\n", " orientation = '90',\n", " connection_pads = dict(\n", " bus_01 = dict(connector_location = '180', claw_length = '95um'),\n", " readout = dict(connector_location = '0'),\n", " fl_options = dict()\n", " )\n", "))\n", "\n", "gui.rebuild()\n", "gui.autoscale()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": { "image/png": { "width": 500 } }, "output_type": "display_data" } ], "source": [ "gui.screenshot()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'chip': 'main',\n", " 'layer': '1',\n", " 'pin_inputs': {'start_pin': {'component': '', 'pin': ''},\n", " 'end_pin': {'component': '', 'pin': ''}},\n", " 'fillet': '0',\n", " 'lead': {'start_straight': '0mm',\n", " 'end_straight': '0mm',\n", " 'start_jogged_extension': '',\n", " 'end_jogged_extension': ''},\n", " 'total_length': '7mm',\n", " 'trace_width': 'cpw_width',\n", " 'meander': {'spacing': '200um', 'asymmetry': '0um'},\n", " 'snap': 'true',\n", " 'prevent_short_edges': 'true',\n", " 'hfss_wire_bonds': False,\n", " 'q3d_wire_bonds': False}" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "RouteMeander.get_template_options(design)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "#Now going to build up the resonators/busses. There will be two resonator busses and one direct coupler\n", "# The frequencies of the resonators are as we know super important so we use the built in\n", "# CPWR calculator to get a rough estimate\n", "\n", "from qiskit_metal.analyses.em.cpw_calculations import guided_wavelength\n", "\n", "def find_resonator_length(frequency, line_width, line_gap, N):\n", " #Frequency(GHz), line_width/gap(um), N->2 (lambda/2), N->4 (lambda/4)\n", " [lambdaG, etfSqrt, q] = guided_wavelength(frequency*10**9, line_width*10**-6, line_gap*10**-6,\n", " 750*10**-6, 200*10**-9, 11.9)\n", " return str(lambdaG/N*10**3)+ \" mm\"" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1;31mSignature:\u001b[0m\n", "\u001b[0mguided_wavelength\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mfreq\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mline_width\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mline_gap\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0msubstrate_thickness\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mfilm_thickness\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m \u001b[0mdielectric_constant\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m11.45\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\n", "\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", "\u001b[1;31mDocstring:\u001b[0m\n", "A simple calculator to determine the guided wavelength of a planar CPW\n", "transmission line. Assumes the substrate has relative permeability of 1.\n", "Assumes package grounds are far away.\n", "\n", "Args:\n", " freq (float): The frequency of interest, in Hz (eg. 5*10**9).\n", " line_width (float): The width of the CPW trace (center) line, in meters (eg. 10*10**-6).\n", " line_gap (float): The width of the CPW gap (dielectric space), in meters (eg. 6*10**-6).\n", " substrate_thickness (float): Thickness of the dielectric substrate, in meters (eg. 760*10**-6).\n", " film_thickness (float): Thickness of the thin film, in meters (eg. 200*10**-9).\n", " dielectric_constant (float): The relative permittivity of the substrate.\n", " Defaults to 11.45, the value for Silicon at cryogenic temperatures.\n", "\n", "Returns:\n", " tuple: Contents outlined below\n", "\n", "Tuple contents:\n", " * lambdaG: The guided wavelength of the CPW based on the input parameters, in meters.\n", " This value is for a full wavelength. Divide by 2 for a lambda/2 resonator, 4 for a lambda/4.\n", " * etfSqrt: Effective dielectric constant (accounting for film thickness)\n", " * q: Filling factor\n", "\u001b[1;31mFile:\u001b[0m c:\\users\\lhqs\\qiskit-metal\\qiskit_metal\\analyses\\em\\cpw_calculations.py\n", "\u001b[1;31mType:\u001b[0m function\n" ] } ], "source": [ "?guided_wavelength" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "dict_keys(['bus_01', 'readout', 'fl_options', 'flux_line'])" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Can look at what pins your object has:\n", "q_0.pins.keys()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'9.644788880592413 mm'" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#We want our readout resonator to have a frequency of around 6.2 GHz\n", "\n", "find_resonator_length(6.2, 10, 6, 2) \n", "\n", "#What might be wrong with this length calc? -- this calc only accounts for he termination\n", "# at the end of the resonator without the added pins as well as only accounting for an \n", "# entirely decoupled CPWR. As soon as the CPWR is coupled to something, its freq will shift\n", "# due to the coupling" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "#building and placing the readout and control part of the circuit. The qubit\n", "# will have its own direct readout.\n", "# The crossmon will thus need a launchpad for wire bonding to the flux line \n", "# i.e. 2 readout launchpads (input and output) + 1 flux line launchpad\n", "\n", "launch_readout_q_0 = LaunchpadWirebond(design, 'Launch_Readout_Q_0',\n", " options = dict(\n", " pos_x = '-2mm', \n", " pos_y = '-2.5mm', \n", " orientation = '90'))\n", "\n", "launch_readout_q_1 = LaunchpadWirebond(design, 'Launch_Readout_Q_1',\n", " options = dict(\n", " pos_x = '1mm', \n", " pos_y = '1mm', \n", " orientation = '-90'))\n", "\n", "launch_fl_q_0 = LaunchpadWirebond(design, 'Launch_FL_Q_0',\n", " options = dict(\n", " pos_x = '2mm', \n", " pos_y = '-2.5mm', \n", " orientation = '90',\n", " trace_width = '5um',\n", " trace_gap = '3um'))\n", "\n", "gui.rebuild()\n", "gui.autoscale()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "#Adding in the readout line coupling readout capacitors. Aiming for Q_ext ~ 2000 for readout resonators\n", "\n", "cap_readout_q_0 = CapNInterdigital(design, 'Cap_Readout_Q_0', options = dict(\n", " pos_x = '-2mm', pos_y = '-2.25mm', orientation = '0'))\n", "\n", "cap_readout_q_1 = CapNInterdigital(design, 'Cap_Readout_Q_1', options = dict(\n", " pos_x = '1mm', pos_y = '0.75mm', orientation = '0'))\n", "gui.rebuild()\n", "gui.autoscale()\n" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'8.305234863383255 mm'" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Now just going to add all the remaining transmission lines to finish up the circuit\n", "#Going to figure out the length needed for our readout transmission lines with freqs: 6.8, 7.0, 7.2 GHz\n", "\n", "find_resonator_length(7.2, 10, 6, 2)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "from collections import OrderedDict\n", "jogs_start = OrderedDict()\n", "jogs_start[0] = [\"R\", '350um']\n", "\n", "\n", "readout_01 = RouteMeander(design, 'Readout_01', options = dict(hfss_wire_bonds = True,\n", " pin_inputs = dict(\n", " start_pin = dict(component = 'Q_0', pin = 'bus_01'),\n", " end_pin = dict(component = 'Cap_Readout_Q_1', pin = 'south_end')),\n", " lead = dict(\n", " start_straight = '125um',\n", " end_straight = '25um',\n", " start_jogged_extension = jogs_start),\n", " #end_jogged_extension = ),\n", " meander = dict(asymmetry = '150um'),\n", " fillet = '99um', total_length = '8.3mm'))\n", "\n", "\n", "readout_00 = RouteMeander(design, 'Readout_00', options = dict(hfss_wire_bonds = True,\n", " pin_inputs = dict(\n", " start_pin = dict(component = 'Q_0', pin = 'readout'),\n", " end_pin = dict(component = 'Cap_Readout_Q_0', pin = 'north_end')),\n", " lead = dict(\n", " start_straight = '125um',\n", " end_straight = '25um',\n", " start_jogged_extension = jogs_start),\n", " #end_jogged_extension = ),\n", " meander = dict(asymmetry = '150um'),\n", " fillet = '99um', total_length = '8.3mm'))\n", "\n", "gui.rebuild()\n", "gui.autoscale()" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [], "source": [ "#Now just adding the remainder connections of transmission lines\n", "\n", "flux_line_q_0 = RoutePathfinder(design, 'Flux_Line_Q_0', options = Dict(hfss_wire_bonds = True,\n", " pin_inputs = Dict(\n", " start_pin = dict(component = 'Q_0', pin = 'flux_line'),\n", " end_pin = dict(component ='Launch_FL_Q_0', pin = 'tie')),\n", " fillet = '99um', trace_width = '5um', trace_gap = '3um'))\n", "\n", "tl_readout_q_00 = RouteStraight(design, 'TL_Readout_Q_00', options = Dict(hfss_wire_bonds = True,\n", " pin_inputs = Dict(\n", " start_pin = dict(component = 'Launch_Readout_Q_0', pin = 'tie'),\n", " end_pin = dict(component ='Cap_Readout_Q_0', pin = 'south_end')),\n", " trace_width = '10um', trace_gap = '6um'))\n", "\n", "\n", "tl_readout_q_01 = RouteStraight(design, 'TL_Readout_Q_01', options = Dict(hfss_wire_bonds = True,\n", " pin_inputs = Dict(\n", " start_pin = dict(component = 'Launch_Readout_Q_1', pin = 'tie'),\n", " end_pin = dict(component ='Cap_Readout_Q_1', pin = 'north_end')),\n", " trace_width = '10um', trace_gap = '6um'))\n", "\n", "gui.rebuild()\n", "gui.autoscale()\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Simulation and Analysis\n", "\n", "TARGET PARAMS --\n", "\n", "qubit freqs: 4.8, 5.0, 5.2 GHz\n", "\n", "anharmonicity of qubits: 300MHz\n", "\n", "g (qubit-bus): 80 MHz\n", "\n", "chi (qubit-readout): 1 Mhz\n", "\n", "bus frequency (01, 02): 5.8, 6.2 GHz\n", "\n", "readout freqs: 6.8, 7.0, 7.2 GHz\n", "\n", "readout Q_ext: 2000" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "#If I want to export my design as a .gds file, we can import:\n", "\n", "from qiskit_metal.renderers.renderer_gds.gds_renderer import QGDSRenderer" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'short_segments_to_not_fillet': 'True',\n", " 'check_short_segments_by_scaling_fillet': '2.0',\n", " 'gds_unit': 0.001,\n", " 'ground_plane': 'True',\n", " 'negative_mask': {'main': []},\n", " 'fabricate': 'False',\n", " 'corners': 'circular bend',\n", " 'tolerance': '0.00001',\n", " 'precision': '0.000000001',\n", " 'width_LineString': '10um',\n", " 'path_filename': '../resources/Fake_Junctions.GDS',\n", " 'junction_pad_overlap': '5um',\n", " 'max_points': '199',\n", " 'cheese': {'datatype': '100',\n", " 'shape': '0',\n", " 'cheese_0_x': '25um',\n", " 'cheese_0_y': '25um',\n", " 'cheese_1_radius': '100um',\n", " 'view_in_file': {'main': {1: True}},\n", " 'delta_x': '100um',\n", " 'delta_y': '100um',\n", " 'edge_nocheese': '200um'},\n", " 'no_cheese': {'datatype': '99',\n", " 'buffer': '25um',\n", " 'cap_style': '2',\n", " 'join_style': '2',\n", " 'view_in_file': {'main': {1: True}}},\n", " 'bounding_box_scale_x': '1.2',\n", " 'bounding_box_scale_y': '1.2'}" ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#The options tell us how we can specify the export design parameters\n", "\n", "a_gds = design._renderers.gds\n", "a_gds.options" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "" ] }, "metadata": { "image/png": { "width": 500 } }, "output_type": "display_data" } ], "source": [ "gui.screenshot()" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Export with file name:\n", "\n", "#design.renderers.gds.export_to_gds('camels_qiskit_1.gds')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Qubit and Lumped Oscillator Model (LOM)\n", "\n", "Focusing on Qubit 0 for this step.\n", "Creating an instance of a Q3D render, connect to ansys, add a design, and modift options for sim we want.\n", "This renderer will allows us to extract the capacitance matrix " ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "#First, opening Ansys\n", "\n", "from qiskit_metal.analyses.quantization import LOManalysis\n", "from qiskit_metal.renderers.renderer_ansys.ansys_renderer import QAnsysRenderer" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "fourq_q3d = design.renderers.q3d\n", "fourq_hfss = design.renderers.hfss" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "q0_q3d = design.renderers.q3d" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'Lj': '10nH',\n", " 'Cj': 0,\n", " '_Rj': 0,\n", " 'max_mesh_length_jj': '7um',\n", " 'project_path': None,\n", " 'project_name': None,\n", " 'design_name': None,\n", " 'x_buffer_width_mm': 0.2,\n", " 'y_buffer_width_mm': 0.2,\n", " 'wb_threshold': '400um',\n", " 'wb_offset': '0um',\n", " 'wb_size': 5,\n", " 'plot_ansys_fields_options': {'name': 'NAME:Mag_E1',\n", " 'UserSpecifyName': '0',\n", " 'UserSpecifyFolder': '0',\n", " 'QuantityName': 'Mag_E',\n", " 'PlotFolder': 'E Field',\n", " 'StreamlinePlot': 'False',\n", " 'AdjacentSidePlot': 'False',\n", " 'FullModelPlot': 'False',\n", " 'IntrinsicVar': \"Phase='0deg'\",\n", " 'PlotGeomInfo_0': '1',\n", " 'PlotGeomInfo_1': 'Surface',\n", " 'PlotGeomInfo_2': 'FacesList',\n", " 'PlotGeomInfo_3': '1'}}" ] }, "execution_count": 29, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#We can check to see if there are any options we might want to change within\n", " # this renderer:\n", " \n", "q0_q3d.options" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO 06:51PM [connect_project]: Connecting to Ansys Desktop API...\n", "06:51PM 25s ERROR [connect_ansys]: pyEPR cannot find the Ansys COM. Ansys installation might not have registered it. To verify if this is the problem, execute the following: `print(win32com.client.Dispatch('AnsoftHfss.HfssScriptInterface'))` If the print-out is not `` then Ansys COM is not registered, and you will need to look into correcting your Ansys installation.\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "com_error: (-2147221005, 'Invalid class string', None, None)\n" ] }, { "ename": "com_error", "evalue": "(-2147221005, 'Invalid class string', None, None)", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mcom_error\u001b[0m Traceback (most recent call last)", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\win32com\\client\\dynamic.py:86\u001b[0m, in \u001b[0;36m_GetGoodDispatch\u001b[1;34m(IDispatch, clsctx)\u001b[0m\n\u001b[0;32m 85\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 86\u001b[0m IDispatch \u001b[38;5;241m=\u001b[39m \u001b[43mpythoncom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\u001b[43mIDispatch\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 87\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m pythoncom\u001b[38;5;241m.\u001b[39mole_error:\n", "\u001b[1;31mcom_error\u001b[0m: (-2147221005, 'Invalid class string', None, None)", "\nDuring handling of the above exception, another exception occurred:\n", "\u001b[1;31mcom_error\u001b[0m Traceback (most recent call last)", "Input \u001b[1;32mIn [30]\u001b[0m, in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mq0_q3d\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect_ansys\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32mc:\\users\\lhqs\\qiskit-metal\\qiskit_metal\\renderers\\renderer_ansys\\ansys_renderer.py:427\u001b[0m, in \u001b[0;36mQAnsysRenderer.connect_ansys\u001b[1;34m(self, project_path, project_name, design_name)\u001b[0m\n\u001b[0;32m 418\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (msg \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInvalid class string\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 419\u001b[0m ): \u001b[38;5;66;03m# and hr == -2147221005 and exc is None and arg is None\u001b[39;00m\n\u001b[0;32m 420\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlogger\u001b[38;5;241m.\u001b[39merror(\n\u001b[0;32m 421\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyEPR cannot find the Ansys COM. Ansys installation might not have registered it. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 422\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTo verify if this is the problem, execute the following: \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 425\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mand you will need to look into correcting your Ansys installation.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 426\u001b[0m )\n\u001b[1;32m--> 427\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m error\n", "File \u001b[1;32mc:\\users\\lhqs\\qiskit-metal\\qiskit_metal\\renderers\\renderer_ansys\\ansys_renderer.py:407\u001b[0m, in \u001b[0;36mQAnsysRenderer.connect_ansys\u001b[1;34m(self, project_path, project_name, design_name)\u001b[0m\n\u001b[0;32m 404\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpythoncom\u001b[39;00m\n\u001b[0;32m 406\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 407\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_pinfo \u001b[38;5;241m=\u001b[39m \u001b[43mepr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mProjectInfo\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 408\u001b[0m \u001b[43m \u001b[49m\u001b[43mdo_connect\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m 409\u001b[0m \u001b[43m \u001b[49m\u001b[43mproject_path\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_options\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mproject_path\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[0;32m 410\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mproject_path\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mproject_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 411\u001b[0m \u001b[43m \u001b[49m\u001b[43mproject_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_options\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mproject_name\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[0;32m 412\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mproject_name\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mproject_name\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 413\u001b[0m \u001b[43m \u001b[49m\u001b[43mdesign_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_options\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdesign_name\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\n\u001b[0;32m 414\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdesign_name\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mdesign_name\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 415\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m pythoncom\u001b[38;5;241m.\u001b[39mcom_error \u001b[38;5;28;01mas\u001b[39;00m error: \u001b[38;5;66;03m# pylint: disable=no-member\u001b[39;00m\n\u001b[0;32m 416\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcom_error: \u001b[39m\u001b[38;5;124m\"\u001b[39m, error)\n", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\pyEPR\\project_info.py:211\u001b[0m, in \u001b[0;36mProjectInfo.__init__\u001b[1;34m(self, project_path, project_name, design_name, setup_name, do_connect)\u001b[0m\n\u001b[0;32m 208\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39msetup \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 210\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m do_connect:\n\u001b[1;32m--> 211\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 212\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdissipative[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpinfo\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\n", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\pyEPR\\project_info.py:345\u001b[0m, in \u001b[0;36mProjectInfo.connect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 339\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mconnect\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m 340\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 341\u001b[0m \u001b[38;5;124;03m Do establish connection to Ansys desktop.\u001b[39;00m\n\u001b[0;32m 342\u001b[0m \u001b[38;5;124;03m Connects to project and then get design and setup\u001b[39;00m\n\u001b[0;32m 343\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 345\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mconnect_project\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 346\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mproject:\n\u001b[0;32m 347\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124mConnection to Ansys NOT established. \u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\pyEPR\\project_info.py:241\u001b[0m, in \u001b[0;36mProjectInfo.connect_project\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m 232\u001b[0m \u001b[38;5;124;03m\"\"\"Sets \u001b[39;00m\n\u001b[0;32m 233\u001b[0m \u001b[38;5;124;03mself.app\u001b[39;00m\n\u001b[0;32m 234\u001b[0m \u001b[38;5;124;03mself.desktop\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 237\u001b[0m \u001b[38;5;124;03mself.project_path \u001b[39;00m\n\u001b[0;32m 238\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 239\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mConnecting to Ansys Desktop API...\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m--> 241\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mapp, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdesktop, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mproject \u001b[38;5;241m=\u001b[39m \u001b[43mansys\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mload_ansys_project\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 242\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mproject_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mproject_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 244\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mproject:\n\u001b[0;32m 245\u001b[0m \u001b[38;5;66;03m# TODO: should be property?\u001b[39;00m\n\u001b[0;32m 246\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mproject_name \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mproject\u001b[38;5;241m.\u001b[39mname\n", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\pyEPR\\ansys.py:3122\u001b[0m, in \u001b[0;36mload_ansys_project\u001b[1;34m(proj_name, project_path, extension)\u001b[0m\n\u001b[0;32m 3117\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (project_path \u001b[38;5;241m/\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m.lock\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mis_file():\n\u001b[0;32m 3118\u001b[0m logger\u001b[38;5;241m.\u001b[39mwarning(\n\u001b[0;32m 3119\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124mFile is locked. \u001b[39m\u001b[38;5;130;01m\\N{fearful face}\u001b[39;00m\u001b[38;5;124m If connection fails, delete the .lock file.\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 3120\u001b[0m )\n\u001b[1;32m-> 3122\u001b[0m app \u001b[38;5;241m=\u001b[39m \u001b[43mHfssApp\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 3123\u001b[0m logger\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\t\u001b[39;00m\u001b[38;5;124mOpened Ansys App\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 3125\u001b[0m desktop \u001b[38;5;241m=\u001b[39m app\u001b[38;5;241m.\u001b[39mget_app_desktop()\n", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\pyEPR\\ansys.py:382\u001b[0m, in \u001b[0;36mHfssApp.__init__\u001b[1;34m(self, ProgID)\u001b[0m\n\u001b[0;32m 371\u001b[0m \u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[0;32m 372\u001b[0m \u001b[38;5;124;03m Connect to IDispatch-based COM object.\u001b[39;00m\n\u001b[0;32m 373\u001b[0m \u001b[38;5;124;03m Parameter is the ProgID or CLSID of the COM object.\u001b[39;00m\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 379\u001b[0m \n\u001b[0;32m 380\u001b[0m \u001b[38;5;124;03m'''\u001b[39;00m\n\u001b[0;32m 381\u001b[0m \u001b[38;5;28msuper\u001b[39m(HfssApp, \u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m()\n\u001b[1;32m--> 382\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_app \u001b[38;5;241m=\u001b[39m \u001b[43mDispatch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mProgID\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\win32com\\client\\__init__.py:117\u001b[0m, in \u001b[0;36mDispatch\u001b[1;34m(dispatch, userName, resultCLSID, typeinfo, UnicodeToString, clsctx)\u001b[0m\n\u001b[0;32m 115\u001b[0m \u001b[38;5;124;03m\"\"\"Creates a Dispatch based COM object.\"\"\"\u001b[39;00m\n\u001b[0;32m 116\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m UnicodeToString \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mthis is deprecated and will go away\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m--> 117\u001b[0m dispatch, userName \u001b[38;5;241m=\u001b[39m \u001b[43mdynamic\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_GetGoodDispatchAndUserName\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdispatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43muserName\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclsctx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 118\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m __WrapDispatch(dispatch, userName, resultCLSID, typeinfo, clsctx\u001b[38;5;241m=\u001b[39mclsctx)\n", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\win32com\\client\\dynamic.py:106\u001b[0m, in \u001b[0;36m_GetGoodDispatchAndUserName\u001b[1;34m(IDispatch, userName, clsctx)\u001b[0m\n\u001b[0;32m 103\u001b[0m \u001b[38;5;66;03m## ??? else userName remains None ???\u001b[39;00m\n\u001b[0;32m 104\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 105\u001b[0m userName \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m(userName)\n\u001b[1;32m--> 106\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m (\u001b[43m_GetGoodDispatch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mIDispatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclsctx\u001b[49m\u001b[43m)\u001b[49m, userName)\n", "File \u001b[1;32m~\\miniconda3\\envs\\metalenv\\lib\\site-packages\\win32com\\client\\dynamic.py:88\u001b[0m, in \u001b[0;36m_GetGoodDispatch\u001b[1;34m(IDispatch, clsctx)\u001b[0m\n\u001b[0;32m 86\u001b[0m IDispatch \u001b[38;5;241m=\u001b[39m pythoncom\u001b[38;5;241m.\u001b[39mconnect(IDispatch)\n\u001b[0;32m 87\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m pythoncom\u001b[38;5;241m.\u001b[39mole_error:\n\u001b[1;32m---> 88\u001b[0m IDispatch \u001b[38;5;241m=\u001b[39m \u001b[43mpythoncom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mCoCreateInstance\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 89\u001b[0m \u001b[43m \u001b[49m\u001b[43mIDispatch\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mclsctx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpythoncom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mIID_IDispatch\u001b[49m\n\u001b[0;32m 90\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 91\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 92\u001b[0m \u001b[38;5;66;03m# may already be a wrapped class.\u001b[39;00m\n\u001b[0;32m 93\u001b[0m IDispatch \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(IDispatch, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_oleobj_\u001b[39m\u001b[38;5;124m\"\u001b[39m, IDispatch)\n", "\u001b[1;31mcom_error\u001b[0m: (-2147221005, 'Invalid class string', None, None)" ] } ], "source": [ "q0_q3d.connect_ansys()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], 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