repo stringclasses 900
values | file stringclasses 754
values | content stringlengths 4 215k |
|---|---|---|
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
from sklearn.datasets import make_blobs
features, labels = make_blobs(
n_samples=20,
centers=2,
center_box=(-1, 1),
cluster_std=0.1,
random_state=algorithm_globals.random_seed,
)
from qiskit import Ba... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 42
from qiskit.circuit import Parameter
from qiskit import QuantumCircuit
params1 = [Parameter("input1"), Parameter("weight1")]
qc1 = QuantumCircuit(1)
qc1.h(0)
qc1.ry(params1[0], 0)
qc1.rx(params1[1], 0)
qc1.draw("mpl")
from q... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from sklearn.datasets import load_iris
iris_data = load_iris()
print(iris_data.DESCR)
features = iris_data.data
labels = iris_data.target
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler().fit_transform(features)
import pandas as pd
import seaborn as sns
df = pd.DataFrame(ir... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA, L_BFGS_B
from qiskit.circuit import Parameter
from qiskit.circuit.library import RealAmplitudes, ZZFeatureMap
from qiskit.utils import alg... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 12345
from qiskit_machine_learning.datasets import ad_hoc_data
adhoc_dimension = 2
train_features, train_labels, test_features, test_labels, adhoc_total = ad_hoc_data(
training_size=20,
test_size=5,
n=adhoc_dimension,
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import torch
from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
_ = torch.manual_seed(123456) # suppress output
import numpy as np
num_dim = 2
num_discrete_values = 8
num_qubits = num_dim * int(np.log2(num_discrete_values))
from scipy.stats import multivariate_normal
c... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import numpy as np
import matplotlib.pyplot as plt
from torch import Tensor
from torch.nn import Linear, CrossEntropyLoss, MSELoss
from torch.optim import LBFGS
from qiskit import QuantumCircuit
from qiskit.utils import algorithm_globals
from qiskit.circuit import Parameter
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from sklearn.datasets import make_blobs
# example dataset
features, labels = make_blobs(n_samples=20, n_features=2, centers=2, random_state=3, shuffle=True)
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler(featur... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # External imports
from pylab import cm
from sklearn import metrics
import numpy as np
import matplotlib.pyplot as plt
# Qiskit imports
from qiskit import QuantumCircuit
from qiskit.circuit import ParameterVector
from qiskit.visualization import circuit_drawer
from qiskit.algorithms.optimizers import SPSA
f... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAmplitudes
from qiskit.primitives import Sampler
from qiskit.utils import algorithm_globals
from sklearn.model_selection import train_test_split
from sklearn.preprocessing imp... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import ZFeatureMap, RealAmplitudes
from qiskit.utils import algorithm_globals
from sklearn... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import json
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit import ParameterVector
from qiskit.circuit.library import ZFeatureMap
from qiskit.quantum_info import Spar... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import json
import time
import warnings
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import ClassicalRegister, QuantumRegister
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAm... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
from sklearn.datasets import make_blobs
features, labels = make_blobs(
n_samples=20,
centers=2,
center_box=(-1, 1),
cluster_std=0.1,
random_state=algorithm_globals.random_seed,
)
from qiskit import Ba... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 42
from qiskit.circuit import Parameter
from qiskit import QuantumCircuit
params1 = [Parameter("input1"), Parameter("weight1")]
qc1 = QuantumCircuit(1)
qc1.h(0)
qc1.ry(params1[0], 0)
qc1.rx(params1[1], 0)
qc1.draw("mpl")
from q... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from sklearn.datasets import load_iris
iris_data = load_iris()
print(iris_data.DESCR)
features = iris_data.data
labels = iris_data.target
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler().fit_transform(features)
import pandas as pd
import seaborn as sns
df = pd.DataFrame(ir... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA, L_BFGS_B
from qiskit.circuit import Parameter
from qiskit.circuit.library import RealAmplitudes, ZZFeatureMap
from qiskit.utils import alg... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 12345
from qiskit_machine_learning.datasets import ad_hoc_data
adhoc_dimension = 2
train_features, train_labels, test_features, test_labels, adhoc_total = ad_hoc_data(
training_size=20,
test_size=5,
n=adhoc_dimension,
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import torch
from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
_ = torch.manual_seed(123456) # suppress output
import numpy as np
num_dim = 2
num_discrete_values = 8
num_qubits = num_dim * int(np.log2(num_discrete_values))
from scipy.stats import multivariate_normal
c... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import numpy as np
import matplotlib.pyplot as plt
from torch import Tensor
from torch.nn import Linear, CrossEntropyLoss, MSELoss
from torch.optim import LBFGS
from qiskit import QuantumCircuit
from qiskit.utils import algorithm_globals
from qiskit.circuit import Parameter
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from sklearn.datasets import make_blobs
# example dataset
features, labels = make_blobs(n_samples=20, n_features=2, centers=2, random_state=3, shuffle=True)
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler(featur... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # External imports
from pylab import cm
from sklearn import metrics
import numpy as np
import matplotlib.pyplot as plt
# Qiskit imports
from qiskit import QuantumCircuit
from qiskit.circuit import ParameterVector
from qiskit.visualization import circuit_drawer
from qiskit.algorithms.optimizers import SPSA
f... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAmplitudes
from qiskit.primitives import Sampler
from qiskit.utils import algorithm_globals
from sklearn.model_selection import train_test_split
from sklearn.preprocessing imp... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import ZFeatureMap, RealAmplitudes
from qiskit.utils import algorithm_globals
from sklearn... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import json
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit import ParameterVector
from qiskit.circuit.library import ZFeatureMap
from qiskit.quantum_info import Spar... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import json
import time
import warnings
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import ClassicalRegister, QuantumRegister
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAm... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
from sklearn.datasets import make_blobs
features, labels = make_blobs(
n_samples=20,
centers=2,
center_box=(-1, 1),
cluster_std=0.1,
random_state=algorithm_globals.random_seed,
)
from qiskit import Ba... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 42
from qiskit.circuit import Parameter
from qiskit import QuantumCircuit
params1 = [Parameter("input1"), Parameter("weight1")]
qc1 = QuantumCircuit(1)
qc1.h(0)
qc1.ry(params1[0], 0)
qc1.rx(params1[1], 0)
qc1.draw("mpl")
from q... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from sklearn.datasets import load_iris
iris_data = load_iris()
print(iris_data.DESCR)
features = iris_data.data
labels = iris_data.target
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler().fit_transform(features)
import pandas as pd
import seaborn as sns
df = pd.DataFrame(ir... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA, L_BFGS_B
from qiskit.circuit import Parameter
from qiskit.circuit.library import RealAmplitudes, ZZFeatureMap
from qiskit.utils import alg... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 12345
from qiskit_machine_learning.datasets import ad_hoc_data
adhoc_dimension = 2
train_features, train_labels, test_features, test_labels, adhoc_total = ad_hoc_data(
training_size=20,
test_size=5,
n=adhoc_dimension,
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import torch
from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
_ = torch.manual_seed(123456) # suppress output
import numpy as np
num_dim = 2
num_discrete_values = 8
num_qubits = num_dim * int(np.log2(num_discrete_values))
from scipy.stats import multivariate_normal
c... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import numpy as np
import matplotlib.pyplot as plt
from torch import Tensor
from torch.nn import Linear, CrossEntropyLoss, MSELoss
from torch.optim import LBFGS
from qiskit import QuantumCircuit
from qiskit.utils import algorithm_globals
from qiskit.circuit import Parameter
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from sklearn.datasets import make_blobs
# example dataset
features, labels = make_blobs(n_samples=20, n_features=2, centers=2, random_state=3, shuffle=True)
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler(featur... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # External imports
from pylab import cm
from sklearn import metrics
import numpy as np
import matplotlib.pyplot as plt
# Qiskit imports
from qiskit import QuantumCircuit
from qiskit.circuit import ParameterVector
from qiskit.visualization import circuit_drawer
from qiskit.algorithms.optimizers import SPSA
f... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAmplitudes
from qiskit.primitives import Sampler
from qiskit.utils import algorithm_globals
from sklearn.model_selection import train_test_split
from sklearn.preprocessing imp... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import ZFeatureMap, RealAmplitudes
from qiskit.utils import algorithm_globals
from sklearn... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import json
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit import ParameterVector
from qiskit.circuit.library import ZFeatureMap
from qiskit.quantum_info import Spar... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import json
import time
import warnings
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import ClassicalRegister, QuantumRegister
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAm... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
from sklearn.datasets import make_blobs
features, labels = make_blobs(
n_samples=20,
centers=2,
center_box=(-1, 1),
cluster_std=0.1,
random_state=algorithm_globals.random_seed,
)
from qiskit import Ba... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 42
from qiskit.circuit import Parameter
from qiskit import QuantumCircuit
params1 = [Parameter("input1"), Parameter("weight1")]
qc1 = QuantumCircuit(1)
qc1.h(0)
qc1.ry(params1[0], 0)
qc1.rx(params1[1], 0)
qc1.draw("mpl")
from q... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from sklearn.datasets import load_iris
iris_data = load_iris()
print(iris_data.DESCR)
features = iris_data.data
labels = iris_data.target
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler().fit_transform(features)
import pandas as pd
import seaborn as sns
df = pd.DataFrame(ir... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA, L_BFGS_B
from qiskit.circuit import Parameter
from qiskit.circuit.library import RealAmplitudes, ZZFeatureMap
from qiskit.utils import alg... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 12345
from qiskit_machine_learning.datasets import ad_hoc_data
adhoc_dimension = 2
train_features, train_labels, test_features, test_labels, adhoc_total = ad_hoc_data(
training_size=20,
test_size=5,
n=adhoc_dimension,
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import torch
from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
_ = torch.manual_seed(123456) # suppress output
import numpy as np
num_dim = 2
num_discrete_values = 8
num_qubits = num_dim * int(np.log2(num_discrete_values))
from scipy.stats import multivariate_normal
c... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import numpy as np
import matplotlib.pyplot as plt
from torch import Tensor
from torch.nn import Linear, CrossEntropyLoss, MSELoss
from torch.optim import LBFGS
from qiskit import QuantumCircuit
from qiskit.utils import algorithm_globals
from qiskit.circuit import Parameter
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from sklearn.datasets import make_blobs
# example dataset
features, labels = make_blobs(n_samples=20, n_features=2, centers=2, random_state=3, shuffle=True)
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler(featur... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # External imports
from pylab import cm
from sklearn import metrics
import numpy as np
import matplotlib.pyplot as plt
# Qiskit imports
from qiskit import QuantumCircuit
from qiskit.circuit import ParameterVector
from qiskit.visualization import circuit_drawer
from qiskit.algorithms.optimizers import SPSA
f... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAmplitudes
from qiskit.primitives import Sampler
from qiskit.utils import algorithm_globals
from sklearn.model_selection import train_test_split
from sklearn.preprocessing imp... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import ZFeatureMap, RealAmplitudes
from qiskit.utils import algorithm_globals
from sklearn... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import json
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit import ParameterVector
from qiskit.circuit.library import ZFeatureMap
from qiskit.quantum_info import Spar... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import json
import time
import warnings
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import ClassicalRegister, QuantumRegister
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAm... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.mappers.second_quantization import LogarithmicMapper
mapper = LogarithmicMapper(2)
from qiskit_nature.second_q.mappers import LogarithmicMapper
mapper = LogarithmicMapper(2)
from qiskit_nature.second_q.mappers import LogarithmicMapper
mapper = LogarithmicMapper(padding=2)
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.circuit.library import UCCSD
ansatz = UCCSD()
ansatz.num_spin_orbitals = 10
from qiskit_nature.second_q.circuit.library import UCCSD
ansatz = UCCSD()
ansatz.num_spatial_orbitals = 5
from qiskit_nature.circuit.library import UCC, UVCC
ucc = UCC(qubit_converter=None, num_particles=None... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.drivers import Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureDriverType,
ElectronicStructureMoleculeDriver,
PySCFDriver,
)
from qiskit_nature.problems.second_quantization import ElectronicStructureProblem
from qiskit_nature.transformers.second_... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.drivers.second_quantization import GaussianForcesDriver
from qiskit_nature.problems.second_quantization import VibrationalStructureProblem
from qiskit_nature.settings import settings
settings.dict_aux_operators = True
driver = GaussianForcesDriver(logfile="aux_files/CO2_freq_B3LYP_631g.log")
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.problems.second_quantization.lattice.lattices import LineLattice
from qiskit_nature.problems.second_quantization.lattice.models import FermiHubbardModel
line = LineLattice(2)
fermi = FermiHubbardModel.uniform_parameters(line, 2.0, 4.0, 3.0)
print(fermi.second_q_ops()) # Note: the trailing `s`
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import qiskit.tools.jupyter
%qiskit_version_table
%qiskit_copyright |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
problem = driver.run()
print(problem)
hamiltonian = problem.hamiltoni... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import GaussianForcesDriver
# if you ran Gaussian elsewhere and already have the output file
driver = GaussianForcesDriver(logfile="aux_files/CO2_freq_B3LYP_631g.log")
# if you want to run the Gaussian job from Qiskit
# driver = GaussianForcesDriver(
# ['#p B... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
es_problem = driver.run()
from qiskit_nature.second_q.mappers import J... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
es_problem = driver.run()
from qiskit_nature.second_q.mappers import J... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
from qiskit_nature.second_q.problems import ElectronicBasis
driver = PySCFDriver()
driver.run_pyscf()
ao_problem = driver.to_problem(basis=ElectronicBasis.AO)
print(ao_problem.basis)
ao_hamil = ao_problem.hamiltonian
print(ao_hamil.electronic_integrals... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver()
problem = driver.run()
fermionic_op = problem.hamiltonian.second_q_op()
from qiskit_nature.second_q.mappers import JordanWignerMapper
mapper = JordanWignerMapper()
qubit_jw_op = mapper.map(fermionic_op)
print(qubit_jw_op)
fr... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
from qiskit_nature.second_q.mappers import ParityMapper
from qiskit_nature.second_q.properties import ParticleNumber
from qiskit_nature.second_q.transformers import ActiveSpaceTransformer
bond_distance = 2.5 # in... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver()
problem = driver.run()
print(problem)
from qiskit_nature.second_q.problems import ElectronicBasis
driver.run_pyscf()
problem = driver.to_problem(basis=ElectronicBasis.MO, include_dipole=True)
print(problem.basis)
ao_problem ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.problems import BaseProblem
dummy_hamiltonian = None
base_problem = BaseProblem(dummy_hamiltonian)
print(base_problem.properties)
from qiskit_nature.second_q.properties import AngularMomentum
print("AngularMomentum is in problem.properties:", AngularMomentum in base_problem.prop... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from math import pi
import numpy as np
import rustworkx as rx
from qiskit_nature.second_q.hamiltonians.lattices import (
BoundaryCondition,
HyperCubicLattice,
Lattice,
LatticeDrawStyle,
LineLattice,
SquareLattice,
TriangularLattice,
)
from qiskit_nature.second_q.hamiltonians im... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit_nature.second_q.hamiltonians import QuadraticHamiltonian
# create Hamiltonian
hermitian_part = np.array(
[
[1.0, 2.0, 0.0, 0.0],
[2.0, 1.0, 2.0, 0.0],
[0.0, 2.0, 1.0, 2.0],
[0.0, 0.0, 2.0, 1.0],
]
)
antisymmetric_part = np.array(
[... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display, clear_output
from qiskit.primitives import Estimator
from qiskit.algorithms.minimum_eigensolvers import VQE
from qiskit.algorithms.observables_evaluator import estimate_observables
from qiskit.algorithms.optimizers import COBY... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.mappers.second_quantization import LogarithmicMapper
mapper = LogarithmicMapper(2)
from qiskit_nature.second_q.mappers import LogarithmicMapper
mapper = LogarithmicMapper(2)
from qiskit_nature.second_q.mappers import LogarithmicMapper
mapper = LogarithmicMapper(padding=2)
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.circuit.library import UCCSD
ansatz = UCCSD()
ansatz.num_spin_orbitals = 10
from qiskit_nature.second_q.circuit.library import UCCSD
ansatz = UCCSD()
ansatz.num_spatial_orbitals = 5
from qiskit_nature.circuit.library import UCC, UVCC
ucc = UCC(qubit_converter=None, num_particles=None... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.drivers import Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureDriverType,
ElectronicStructureMoleculeDriver,
PySCFDriver,
)
from qiskit_nature.problems.second_quantization import ElectronicStructureProblem
from qiskit_nature.transformers.second_... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.drivers.second_quantization import GaussianForcesDriver
from qiskit_nature.problems.second_quantization import VibrationalStructureProblem
from qiskit_nature.settings import settings
settings.dict_aux_operators = True
driver = GaussianForcesDriver(logfile="aux_files/CO2_freq_B3LYP_631g.log")
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.problems.second_quantization.lattice.lattices import LineLattice
from qiskit_nature.problems.second_quantization.lattice.models import FermiHubbardModel
line = LineLattice(2)
fermi = FermiHubbardModel.uniform_parameters(line, 2.0, 4.0, 3.0)
print(fermi.second_q_ops()) # Note: the trailing `s`
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import qiskit.tools.jupyter
%qiskit_version_table
%qiskit_copyright |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
problem = driver.run()
print(problem)
hamiltonian = problem.hamiltoni... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import GaussianForcesDriver
# if you ran Gaussian elsewhere and already have the output file
driver = GaussianForcesDriver(logfile="aux_files/CO2_freq_B3LYP_631g.log")
# if you want to run the Gaussian job from Qiskit
# driver = GaussianForcesDriver(
# ['#p B... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
es_problem = driver.run()
from qiskit_nature.second_q.mappers import J... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
es_problem = driver.run()
from qiskit_nature.second_q.mappers import J... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
from qiskit_nature.second_q.problems import ElectronicBasis
driver = PySCFDriver()
driver.run_pyscf()
ao_problem = driver.to_problem(basis=ElectronicBasis.AO)
print(ao_problem.basis)
ao_hamil = ao_problem.hamiltonian
print(ao_hamil.electronic_integrals... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver()
problem = driver.run()
fermionic_op = problem.hamiltonian.second_q_op()
from qiskit_nature.second_q.mappers import JordanWignerMapper
mapper = JordanWignerMapper()
qubit_jw_op = mapper.map(fermionic_op)
print(qubit_jw_op)
fr... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
from qiskit_nature.second_q.mappers import ParityMapper
from qiskit_nature.second_q.properties import ParticleNumber
from qiskit_nature.second_q.transformers import ActiveSpaceTransformer
bond_distance = 2.5 # in... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver()
problem = driver.run()
print(problem)
from qiskit_nature.second_q.problems import ElectronicBasis
driver.run_pyscf()
problem = driver.to_problem(basis=ElectronicBasis.MO, include_dipole=True)
print(problem.basis)
ao_problem ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.problems import BaseProblem
dummy_hamiltonian = None
base_problem = BaseProblem(dummy_hamiltonian)
print(base_problem.properties)
from qiskit_nature.second_q.properties import AngularMomentum
print("AngularMomentum is in problem.properties:", AngularMomentum in base_problem.prop... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from math import pi
import numpy as np
import rustworkx as rx
from qiskit_nature.second_q.hamiltonians.lattices import (
BoundaryCondition,
HyperCubicLattice,
Lattice,
LatticeDrawStyle,
LineLattice,
SquareLattice,
TriangularLattice,
)
from qiskit_nature.second_q.hamiltonians im... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit_nature.second_q.hamiltonians import QuadraticHamiltonian
# create Hamiltonian
hermitian_part = np.array(
[
[1.0, 2.0, 0.0, 0.0],
[2.0, 1.0, 2.0, 0.0],
[0.0, 2.0, 1.0, 2.0],
[0.0, 0.0, 2.0, 1.0],
]
)
antisymmetric_part = np.array(
[... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
from IPython.display import display, clear_output
from qiskit.primitives import Estimator
from qiskit.algorithms.minimum_eigensolvers import VQE
from qiskit.algorithms.observables_evaluator import estimate_observables
from qiskit.algorithms.optimizers import COBY... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.mappers.second_quantization import LogarithmicMapper
mapper = LogarithmicMapper(2)
from qiskit_nature.second_q.mappers import LogarithmicMapper
mapper = LogarithmicMapper(2)
from qiskit_nature.second_q.mappers import LogarithmicMapper
mapper = LogarithmicMapper(padding=2)
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.circuit.library import UCCSD
ansatz = UCCSD()
ansatz.num_spin_orbitals = 10
from qiskit_nature.second_q.circuit.library import UCCSD
ansatz = UCCSD()
ansatz.num_spatial_orbitals = 5
from qiskit_nature.circuit.library import UCC, UVCC
ucc = UCC(qubit_converter=None, num_particles=None... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.drivers import Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureDriverType,
ElectronicStructureMoleculeDriver,
PySCFDriver,
)
from qiskit_nature.problems.second_quantization import ElectronicStructureProblem
from qiskit_nature.transformers.second_... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.drivers.second_quantization import GaussianForcesDriver
from qiskit_nature.problems.second_quantization import VibrationalStructureProblem
from qiskit_nature.settings import settings
settings.dict_aux_operators = True
driver = GaussianForcesDriver(logfile="aux_files/CO2_freq_B3LYP_631g.log")
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.problems.second_quantization.lattice.lattices import LineLattice
from qiskit_nature.problems.second_quantization.lattice.models import FermiHubbardModel
line = LineLattice(2)
fermi = FermiHubbardModel.uniform_parameters(line, 2.0, 4.0, 3.0)
print(fermi.second_q_ops()) # Note: the trailing `s`
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import qiskit.tools.jupyter
%qiskit_version_table
%qiskit_copyright |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
problem = driver.run()
print(problem)
hamiltonian = problem.hamiltoni... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import GaussianForcesDriver
# if you ran Gaussian elsewhere and already have the output file
driver = GaussianForcesDriver(logfile="aux_files/CO2_freq_B3LYP_631g.log")
# if you want to run the Gaussian job from Qiskit
# driver = GaussianForcesDriver(
# ['#p B... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
es_problem = driver.run()
from qiskit_nature.second_q.mappers import J... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
es_problem = driver.run()
from qiskit_nature.second_q.mappers import J... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
from qiskit_nature.second_q.problems import ElectronicBasis
driver = PySCFDriver()
driver.run_pyscf()
ao_problem = driver.to_problem(basis=ElectronicBasis.AO)
print(ao_problem.basis)
ao_hamil = ao_problem.hamiltonian
print(ao_hamil.electronic_integrals... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver()
problem = driver.run()
fermionic_op = problem.hamiltonian.second_q_op()
from qiskit_nature.second_q.mappers import JordanWignerMapper
mapper = JordanWignerMapper()
qubit_jw_op = mapper.map(fermionic_op)
print(qubit_jw_op)
fr... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.