def from_dict(self, cfg: Dict) -> None:
"""
Load experiment from dictionary
"""
model = Model()
model.fromdict(cfg["model"])
generator = Generator()
generator.fromdict(cfg["generator"])
pmap = ParameterMap(model=model, generator=generator)
pmap.fromdict(cfg["instructions"])
if "options" in cfg:
for k, v in cfg["options"].items():
self.__dict__[k] = v
self.pmap = pmap
def test_crosstalk() -> None:
generator = Generator(
devices={
"LO": lo,
"AWG": awg,
"DigitalToAnalog": dac,
"Response": resp,
"Mixer": mixer,
"VoltsToHertz": v_to_hz,
"crosstalk": xtalk,
},
chains={
"d1": ["LO", "AWG", "DigitalToAnalog", "Response", "Mixer", "VoltsToHertz"],
"d2": ["LO", "AWG", "DigitalToAnalog", "Response", "Mixer", "VoltsToHertz"],
},
)
RX90p_q1 = Instruction(
name="RX90p", t_start=0.0, t_end=t_final, channels=["d1", "d2"]
)
RX90p_q1.add_component(gauss_env_single, "d1")
RX90p_q1.add_component(carr, "d1")
gauss_params_single_2 = {
"amp": Quantity(value=0, min_val=-0.4, max_val=0.6, unit="V"),
"t_final": Quantity(
value=t_final, min_val=0.5 * t_final, max_val=1.5 * t_final, unit="s"
),
"sigma": Quantity(
value=t_final / 4, min_val=t_final / 8, max_val=t_final / 2, unit="s"
),
"xy_angle": Quantity(
value=0.0, min_val=-0.5 * np.pi, max_val=2.5 * np.pi, unit="rad"
),
"freq_offset": Quantity(
value=-sideband - 3e6, min_val=-56 * 1e6, max_val=-52 * 1e6, unit="Hz 2pi"
),
"delta": Quantity(value=-1, min_val=-5, max_val=3, unit=""),
}
gauss_env_single_2 = Envelope(
name="gauss",
desc="Gaussian comp for single-qubit gates",
params=gauss_params_single_2,
shape=env_lib.gaussian_nonorm,
)
RX90p_q1.add_component(gauss_env_single_2, "d2")
RX90p_q1.add_component(carr, "d2")
full_signal = generator.generate_signals(RX90p_q1)
assert (
full_signal["d1"]["values"].numpy() == full_signal["d2"]["values"].numpy()
).all()
def get_xtalk_pmap() -> ParameterMap:
xtalk = Crosstalk(
name="crosstalk",
channels=["TC1", "TC2"],
crosstalk_matrix=Quantity(
value=[[1, 0], [0, 1]],
min_val=[[0, 0], [0, 0]],
max_val=[[1, 1], [1, 1]],
unit="",
),
)
gen = Generator(devices={"crosstalk": xtalk})
pmap = ParameterMap(generator=gen)
pmap.set_opt_map([[["crosstalk", "crosstalk_matrix"]]])
return pmap
def read_config(self, filepath: str) -> None:
"""
Load a file and parse it to create a Model object.
Parameters
----------
filepath : str
Location of the configuration file
"""
with open(filepath, "r") as cfg_file:
cfg = hjson.loads(cfg_file.read())
model = Model()
model.fromdict(cfg["model"])
generator = Generator()
generator.fromdict(cfg["generator"])
pmap = ParameterMap(model=model, generator=generator)
pmap.fromdict(cfg["instructions"])
self.pmap = pmap
awg_res = 2e9 # Realistic, limited resolution of an AWG
generator = Gnr(
devices={
"LO": devices.LO(name="lo", resolution=sim_res, outputs=1),
"AWG": devices.AWG(name="awg", resolution=awg_res, outputs=1),
"DigitalToAnalog": devices.DigitalToAnalog(
name="dac", resolution=sim_res, inputs=1, outputs=1
),
"Response": devices.Response(
name="resp",
rise_time=Qty(value=0.3e-9, min_val=0.05e-9, max_val=0.6e-9, unit="s"),
resolution=sim_res,
inputs=1,
outputs=1,
),
"Mixer": devices.Mixer(name="mixer", inputs=2, outputs=1),
"VoltsToHertz": devices.VoltsToHertz(
name="v_to_hz",
V_to_Hz=Qty(value=1e9, min_val=0.9e9, max_val=1.1e9, unit="Hz/V"),
inputs=1,
outputs=1,
),
},
chains={
"d1": ["LO", "AWG", "DigitalToAnalog", "Response", "Mixer", "VoltsToHertz"],
"d2": ["LO", "AWG", "DigitalToAnalog", "Response", "Mixer", "VoltsToHertz"],
},
)
t_final = 7e-9 # Time for single qubit gates
)
xtalk = Crosstalk(
name="crosstalk",
channels=["d1", "d2"],
crosstalk_matrix=Quantity(
value=[[1, 0], [1, 0]], min_val=[[0, 0], [0, 0]], max_val=[[1, 1], [1, 1]]
),
)
generator = Generator(
devices={
"LO": lo,
"AWG": awg,
"DigitalToAnalog": dac,
"Response": resp,
"Mixer": mixer,
"VoltsToHertz": v_to_hz,
},
chains={
"d1": ["LO", "AWG", "DigitalToAnalog", "Response", "Mixer", "VoltsToHertz"]
},
)
t_final = 7e-9 # Time for single qubit gates
sideband = 50e6
gauss_params_single = {
"amp": Quantity(value=0.5, min_val=0.4, max_val=0.6, unit="V"),
"t_final": Quantity(
value=t_final, min_val=0.5 * t_final, max_val=1.5 * t_final, unit="s"
),
"sigma": Quantity(
def quick_setup(self, filepath: str) -> None:
"""
Load a quick setup file and create all necessary components.
Parameters
----------
filepath : str
Location of the configuration file
"""
with open(filepath, "r") as cfg_file:
cfg = hjson.loads(cfg_file.read())
model = Model()
model.read_config(cfg["model"])
gen = Generator()
gen.read_config(cfg["generator"])
single_gate_time = cfg["single_qubit_gate_time"]
v2hz = cfg["v2hz"]
instructions = []
sideband = cfg.pop("sideband", None)
for gate_name, props in cfg["single_qubit_gates"].items():
target_qubit = model.subsystems[props["target_qubit"]]
instr = Instruction(
name=gate_name,
t_start=0.0,
t_end=single_gate_time,
channels=[target_qubit.drive_line],
)
instr.quick_setup(
target_qubit.drive_line,
target_qubit.params["freq"].get_value() / 2 / np.pi,
single_gate_time,
v2hz,
sideband,
)
instructions.append(instr)
for gate_name, props in cfg["two_qubit_gates"].items():
qubit_1 = model.subsystems[props["qubit_1"]]
qubit_2 = model.subsystems[props["qubit_2"]]
instr = Instruction(
name=gate_name,
t_start=0.0,
t_end=props["gate_time"],
channels=[qubit_1.drive_line, qubit_2.drive_line],
)
instr.quick_setup(
qubit_1.drive_line,
qubit_1.params["freq"].get_value() / 2 / np.pi,
props["gate_time"],
v2hz,
sideband,
)
instr.quick_setup(
qubit_2.drive_line,
qubit_2.params["freq"].get_value() / 2 / np.pi,
props["gate_time"],
v2hz,
sideband,
)
instructions.append(instr)
self.pmap = ParameterMap(instructions, generator=gen, model=model)
import numpy as np
import pytest
from c3.c3objs import Quantity
from c3.libraries.envelopes import envelopes
from c3.signal.gates import Instruction
from c3.signal.pulse import Envelope, Carrier
from c3.model import Model
from c3.generator.generator import Generator
from c3.parametermap import ParameterMap
from c3.experiment import Experiment as Exp
model = Model()
model.read_config("test/test_model.cfg")
gen = Generator()
gen.read_config("test/generator.cfg")
pmap = ParameterMap(model=model, generator=gen)
pmap.read_config("test/instructions.cfg")
@pytest.mark.unit
def test_name_collision() -> None:
broken_model = Model()
with pytest.raises(KeyError):
broken_model.read_config("test/test_model_breaking.cfg")
@pytest.mark.unit
def test_subsystems() -> None:
assert list(model.subsystems.keys()) == ["Q1", "Q2", "Q3", "Q4", "Q5", "Q6"]
generator = Gnr(
devices={
"LO":
devices.LO(name="lo", resolution=sim_res, outputs=1),
"AWG":
devices.AWG(name="awg", resolution=awg_res, outputs=1),
"DigitalToAnalog":
devices.DigitalToAnalog(name="dac",
resolution=sim_res,
inputs=1,
outputs=1),
"Response":
devices.Response(
name="resp",
rise_time=Qty(value=0.3e-9,
min_val=0.05e-9,
max_val=0.6e-9,
unit="s"),
resolution=sim_res,
inputs=1,
outputs=1,
),
"Mixer":
devices.Mixer(name="mixer", inputs=2, outputs=1),
"VoltsToHertz":
devices.VoltsToHertz(
name="v_to_hz",
V_to_Hz=Qty(value=1e9, min_val=0.9e9, max_val=1.1e9, unit="Hz/V"),
inputs=1,
outputs=1,
),
},
chains={
"d1": {
"LO": [],
"AWG": [],
"DigitalToAnalog": ["AWG"],
"Response": ["DigitalToAnalog"],
"Mixer": ["LO", "Response"],
"VoltsToHertz": ["Mixer"],
},
"d2": {
"LO": [],
"AWG": [],
"DigitalToAnalog": ["AWG"],
"Response": ["DigitalToAnalog"],
"Mixer": ["LO", "Response"],
"VoltsToHertz": ["Mixer"],
},
},
)
rise_time=Qty(value=0.3e-9, min_val=0.05e-9, max_val=0.6e-9, unit="s"),
resolution=sim_res,
)
mixer = devices.Mixer(name="mixer")
device_dict = {dev.name: dev for dev in [lo, awg, mixer, dig_to_an, resp]}
generator = Generator(
devices=device_dict,
chains={
"Qubit1": {
"lo": [],
"awg": [],
"dac": ["awg"],
"resp": ["dac"],
"mixer": ["lo", "resp"],
},
"Qubit2": {
"lo": [],
"awg": [],
"dac": ["awg"],
"resp": ["dac"],
"mixer": ["lo", "resp"],
},
},
)
# ### MAKE GATESET
nodrive_env = Envelope(name="no_drive", params={}, shape=envelopes["no_drive"])
carrier_parameters = {
"freq":
Qty(value=0, min_val=0e9, max_val=10e9, unit="Hz 2pi"),
def run_cfg(cfg, opt_config_filename, debug=False):
"""Execute an optimization problem described in the cfg file.
Parameters
----------
cfg : Dict[str, Union[str, int, float]]
Configuration file containing optimization options and information needed to completely
setup the system and optimization problem.
debug : bool, optional
Skip running the actual optimization, by default False
"""
optim_type = cfg.pop("optim_type")
optim_lib = {
"C1": OptimalControl,
"C2": Calibration,
"C3": ModelLearning,
"C3_confirm": ModelLearning,
"confirm": ModelLearning,
"SET": Sensitivity,
}
if not optim_type in optim_lib:
raise Exception("C3:ERROR:Unknown optimization type specified.")
tf_utils.tf_setup()
with tf.device("/CPU:0"):
model = None
gen = None
exp = None
prop_meth = cfg.pop("propagation_method", None)
if "model" in cfg:
model = Model()
model.read_config(cfg.pop("model"))
if "generator" in cfg:
gen = Generator()
gen.read_config(cfg.pop("generator"))
if "instructions" in cfg:
pmap = ParameterMap(model=model, generator=gen)
pmap.read_config(cfg.pop("instructions"))
exp = Experiment(pmap, prop_method=prop_meth)
if "exp_cfg" in cfg:
exp = Experiment(prop_method=prop_meth)
exp.read_config(cfg.pop("exp_cfg"))
if exp is None:
print(
"C3:STATUS: No instructions specified. Performing quick setup."
)
exp = Experiment(prop_method=prop_meth)
exp.quick_setup(cfg)
exp.set_opt_gates(cfg.pop("opt_gates", None))
if "gateset_opt_map" in cfg:
exp.pmap.set_opt_map([[tuple(par) for par in pset]
for pset in cfg.pop("gateset_opt_map")])
if "exp_opt_map" in cfg:
exp.pmap.set_opt_map([[tuple(par) for par in pset]
for pset in cfg.pop("exp_opt_map")])
opt = optim_lib[optim_type](**cfg, pmap=exp.pmap)
opt.set_exp(exp)
opt.set_created_by(opt_config_filename)
if "initial_point" in cfg:
initial_points = cfg["initial_point"]
if isinstance(initial_points, str):
initial_points = [initial_points]
elif isinstance(initial_points, list):
pass
else:
raise Warning(
"initial_point has to be a path or a list of paths.")
for init_point in initial_points:
try:
opt.load_best(init_point)
print("C3:STATUS:Loading initial point from : "
f"{os.path.abspath(init_point)}")
except FileNotFoundError as fnfe:
raise Exception(
f"C3:ERROR:No initial point found at "
f"{os.path.abspath(init_point)}. ") from fnfe
if optim_type == "C1":
if "adjust_exp" in cfg:
try:
adjust_exp = cfg["adjust_exp"]
opt.load_model_parameters(adjust_exp)
print("C3:STATUS:Loading experimental values from : "
f"{os.path.abspath(adjust_exp)}")
except FileNotFoundError as fnfe:
raise Exception(
f"C3:ERROR:No experimental values found at "
f"{os.path.abspath(adjust_exp)} "
"Continuing with default.") from fnfe
if not debug:
opt.run()
from c3.signal.gates import Instruction
from c3.c3objs import Quantity, hjson_decode, hjson_encode
from c3.experiment import Experiment
from c3.generator.generator import Generator
from c3.libraries.envelopes import envelopes
from c3.parametermap import ParameterMap
from c3.signal import gates, pulse
from c3.model import Model
import numpy as np
import pytest
model = Model()
model.read_config("test/test_model.cfg")
generator = Generator()
generator.read_config("test/generator2.cfg")
t_final = 7e-9 # Time for single qubit gates
sideband = 50e6
gauss_params_single = {
"amp": Quantity(value=0.5, min_val=0.4, max_val=0.6, unit="V"),
"t_final": Quantity(
value=t_final, min_val=0.5 * t_final, max_val=1.5 * t_final, unit="s"
),
"sigma": Quantity(
value=t_final / 4, min_val=t_final / 8, max_val=t_final / 2, unit="s"
),
"xy_angle": Quantity(
value=0.0, min_val=-0.5 * np.pi, max_val=2.5 * np.pi, unit="rad"
),
AWG_RES = 100e9
SIM_RES = 100e9
generator = Generator(
devices={
"LO":
devices.LO(name="lo", resolution=SIM_RES, outputs=1),
"AWG":
devices.AWG(name="awg", resolution=AWG_RES, outputs=1),
"DigitalToAnalog":
devices.DigitalToAnalog(name="dac",
resolution=SIM_RES,
inputs=1,
outputs=1),
"Mixer":
devices.Mixer(name="mixer", inputs=2, outputs=1),
},
chains={
"d1": {
"LO": [],
"AWG": [],
"DigitalToAnalog": ["AWG"],
"Mixer": ["LO", "DigitalToAnalog"],
},
},
)
lo_freq_q1 = 2e9
t_final = 1 / lo_freq_q1
def quick_setup(self, cfg) -> None:
"""
Load a quick setup cfg and create all necessary components.
Parameters
----------
cfg : Dict
Configuration options
"""
model = Model()
model.read_config(cfg["model"])
gen = Generator()
gen.read_config(cfg["generator"])
single_gate_time = cfg["single_qubit_gate_time"]
v2hz = cfg["v2hz"]
instructions = []
sideband = cfg.pop("sideband", None)
for gate_name, props in cfg["single_qubit_gates"].items():
target_qubit = model.subsystems[props["qubits"]]
instr = Instruction(
name=props["name"],
targets=[model.names.index(props["qubits"])],
t_start=0.0,
t_end=single_gate_time,
channels=[target_qubit.drive_line],
)
instr.quick_setup(
target_qubit.drive_line,
target_qubit.params["freq"].get_value() / 2 / np.pi,
single_gate_time,
v2hz,
sideband,
)
instructions.append(instr)
for gate_name, props in cfg["two_qubit_gates"].items():
qubit_1 = model.subsystems[props["qubit_1"]]
qubit_2 = model.subsystems[props["qubit_2"]]
instr = Instruction(
name=gate_name,
targets=[
model.names.index(props["qubit_1"]),
model.names.index(props["qubit_2"]),
],
t_start=0.0,
t_end=props["gate_time"],
channels=[qubit_1.drive_line, qubit_2.drive_line],
)
instr.quick_setup(
qubit_1.drive_line,
qubit_1.params["freq"].get_value() / 2 / np.pi,
props["gate_time"],
v2hz,
sideband,
)
instr.quick_setup(
qubit_2.drive_line,
qubit_2.params["freq"].get_value() / 2 / np.pi,
props["gate_time"],
v2hz,
sideband,
)
instructions.append(instr)
self.pmap = ParameterMap(instructions, generator=gen, model=model)
