repo stringclasses 900
values | file stringclasses 754
values | content stringlengths 4 215k |
|---|---|---|
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
problem = QuadraticProgram("sample")
problem.binary_var("x")
problem.binary_var("y")
problem.maximize(linear={"x": 1, "y": -2})
print(problem.prettyprint())
from qiskit.algorithms import NumPyMinimumEigensolver
from qiskit_optimization.algorithms import Mini... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
from qiskit_optimization.translators import from_docplex_mp
# Make a Docplex model
from docplex.mp.model import Model
mdl = Model("docplex model")
x = mdl.binary_var("x")
y = mdl.integer_var(lb=-1, ub=5, name="y")
mdl.minimize(x + 2 * y)
mdl.add_constraint(x ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
qp = QuadraticProgram()
qp.binary_var("x")
qp.binary_var("y")
qp.integer_var(lowerbound=0, upperbound=7, name="z")
qp.maximize(linear={"x": 2, "y": 1, "z": 1})
qp.linear_constraint(linear={"x": 1, "y": 1, "z": 1}, sense="LE", rhs=5.5, name="xyz_leq")
qp.linear... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer
from qiskit_optimization.translators import from_docplex_mp
from docplex.mp.model import Model
model = Model()
x0 = m... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptim... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # useful additional packages
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
from qiskit_aer import Aer
from qiskit.tools.visualization import plot_histogram
from qiskit.circuit.library import TwoLocal
from qiskit_optimization.applications import Maxcut, Tsp
from qiskit.algorithms.min... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
try:
import cplex
from cplex.exceptions import CplexError
except:
print("Warning: Cplex not found.")
import math
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import SamplingVQE
from qiskit.algorithms.o... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import RealAmplitudes
from qiskit.algorithms.optimizers import COBYLA
from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, SamplingVQE
from qiskit.primitives import Sampler
from qiskit_optimization.converters import LinearEqualityToPenalty
from qiskit_optimization... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.applications.... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import copy
# Problem modelling imports
from docplex.mp.model import Model
# Qiskit imports
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit.utils.algorithm_gl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
problem = QuadraticProgram("sample")
problem.binary_var("x")
problem.binary_var("y")
problem.maximize(linear={"x": 1, "y": -2})
print(problem.prettyprint())
from qiskit.algorithms import NumPyMinimumEigensolver
from qiskit_optimization.algorithms import Mini... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
from qiskit_optimization.translators import from_docplex_mp
# Make a Docplex model
from docplex.mp.model import Model
mdl = Model("docplex model")
x = mdl.binary_var("x")
y = mdl.integer_var(lb=-1, ub=5, name="y")
mdl.minimize(x + 2 * y)
mdl.add_constraint(x ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
qp = QuadraticProgram()
qp.binary_var("x")
qp.binary_var("y")
qp.integer_var(lowerbound=0, upperbound=7, name="z")
qp.maximize(linear={"x": 2, "y": 1, "z": 1})
qp.linear_constraint(linear={"x": 1, "y": 1, "z": 1}, sense="LE", rhs=5.5, name="xyz_leq")
qp.linear... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer
from qiskit_optimization.translators import from_docplex_mp
from docplex.mp.model import Model
model = Model()
x0 = m... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptim... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # useful additional packages
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
from qiskit_aer import Aer
from qiskit.tools.visualization import plot_histogram
from qiskit.circuit.library import TwoLocal
from qiskit_optimization.applications import Maxcut, Tsp
from qiskit.algorithms.min... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
try:
import cplex
from cplex.exceptions import CplexError
except:
print("Warning: Cplex not found.")
import math
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import SamplingVQE
from qiskit.algorithms.o... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import RealAmplitudes
from qiskit.algorithms.optimizers import COBYLA
from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, SamplingVQE
from qiskit.primitives import Sampler
from qiskit_optimization.converters import LinearEqualityToPenalty
from qiskit_optimization... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.applications.... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import copy
# Problem modelling imports
from docplex.mp.model import Model
# Qiskit imports
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit.utils.algorithm_gl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
problem = QuadraticProgram("sample")
problem.binary_var("x")
problem.binary_var("y")
problem.maximize(linear={"x": 1, "y": -2})
print(problem.prettyprint())
from qiskit.algorithms import NumPyMinimumEigensolver
from qiskit_optimization.algorithms import Mini... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
from qiskit_optimization.translators import from_docplex_mp
# Make a Docplex model
from docplex.mp.model import Model
mdl = Model("docplex model")
x = mdl.binary_var("x")
y = mdl.integer_var(lb=-1, ub=5, name="y")
mdl.minimize(x + 2 * y)
mdl.add_constraint(x ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
qp = QuadraticProgram()
qp.binary_var("x")
qp.binary_var("y")
qp.integer_var(lowerbound=0, upperbound=7, name="z")
qp.maximize(linear={"x": 2, "y": 1, "z": 1})
qp.linear_constraint(linear={"x": 1, "y": 1, "z": 1}, sense="LE", rhs=5.5, name="xyz_leq")
qp.linear... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer
from qiskit_optimization.translators import from_docplex_mp
from docplex.mp.model import Model
model = Model()
x0 = m... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptim... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # useful additional packages
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
from qiskit_aer import Aer
from qiskit.tools.visualization import plot_histogram
from qiskit.circuit.library import TwoLocal
from qiskit_optimization.applications import Maxcut, Tsp
from qiskit.algorithms.min... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
try:
import cplex
from cplex.exceptions import CplexError
except:
print("Warning: Cplex not found.")
import math
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import SamplingVQE
from qiskit.algorithms.o... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import RealAmplitudes
from qiskit.algorithms.optimizers import COBYLA
from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, SamplingVQE
from qiskit.primitives import Sampler
from qiskit_optimization.converters import LinearEqualityToPenalty
from qiskit_optimization... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.applications.... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import copy
# Problem modelling imports
from docplex.mp.model import Model
# Qiskit imports
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit.utils.algorithm_gl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
problem = QuadraticProgram("sample")
problem.binary_var("x")
problem.binary_var("y")
problem.maximize(linear={"x": 1, "y": -2})
print(problem.prettyprint())
from qiskit.algorithms import NumPyMinimumEigensolver
from qiskit_optimization.algorithms import Mini... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
from qiskit_optimization.translators import from_docplex_mp
# Make a Docplex model
from docplex.mp.model import Model
mdl = Model("docplex model")
x = mdl.binary_var("x")
y = mdl.integer_var(lb=-1, ub=5, name="y")
mdl.minimize(x + 2 * y)
mdl.add_constraint(x ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
qp = QuadraticProgram()
qp.binary_var("x")
qp.binary_var("y")
qp.integer_var(lowerbound=0, upperbound=7, name="z")
qp.maximize(linear={"x": 2, "y": 1, "z": 1})
qp.linear_constraint(linear={"x": 1, "y": 1, "z": 1}, sense="LE", rhs=5.5, name="xyz_leq")
qp.linear... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer
from qiskit_optimization.translators import from_docplex_mp
from docplex.mp.model import Model
model = Model()
x0 = m... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptim... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # useful additional packages
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
from qiskit_aer import Aer
from qiskit.tools.visualization import plot_histogram
from qiskit.circuit.library import TwoLocal
from qiskit_optimization.applications import Maxcut, Tsp
from qiskit.algorithms.min... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
try:
import cplex
from cplex.exceptions import CplexError
except:
print("Warning: Cplex not found.")
import math
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import SamplingVQE
from qiskit.algorithms.o... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import RealAmplitudes
from qiskit.algorithms.optimizers import COBYLA
from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, SamplingVQE
from qiskit.primitives import Sampler
from qiskit_optimization.converters import LinearEqualityToPenalty
from qiskit_optimization... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.applications.... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import copy
# Problem modelling imports
from docplex.mp.model import Model
# Qiskit imports
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit.utils.algorithm_gl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
problem = QuadraticProgram("sample")
problem.binary_var("x")
problem.binary_var("y")
problem.maximize(linear={"x": 1, "y": -2})
print(problem.prettyprint())
from qiskit.algorithms import NumPyMinimumEigensolver
from qiskit_optimization.algorithms import Mini... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
from qiskit_optimization.translators import from_docplex_mp
# Make a Docplex model
from docplex.mp.model import Model
mdl = Model("docplex model")
x = mdl.binary_var("x")
y = mdl.integer_var(lb=-1, ub=5, name="y")
mdl.minimize(x + 2 * y)
mdl.add_constraint(x ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
qp = QuadraticProgram()
qp.binary_var("x")
qp.binary_var("y")
qp.integer_var(lowerbound=0, upperbound=7, name="z")
qp.maximize(linear={"x": 2, "y": 1, "z": 1})
qp.linear_constraint(linear={"x": 1, "y": 1, "z": 1}, sense="LE", rhs=5.5, name="xyz_leq")
qp.linear... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer
from qiskit_optimization.translators import from_docplex_mp
from docplex.mp.model import Model
model = Model()
x0 = m... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptim... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # useful additional packages
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
from qiskit_aer import Aer
from qiskit.tools.visualization import plot_histogram
from qiskit.circuit.library import TwoLocal
from qiskit_optimization.applications import Maxcut, Tsp
from qiskit.algorithms.min... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
try:
import cplex
from cplex.exceptions import CplexError
except:
print("Warning: Cplex not found.")
import math
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import SamplingVQE
from qiskit.algorithms.o... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import RealAmplitudes
from qiskit.algorithms.optimizers import COBYLA
from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, SamplingVQE
from qiskit.primitives import Sampler
from qiskit_optimization.converters import LinearEqualityToPenalty
from qiskit_optimization... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.applications.... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import copy
# Problem modelling imports
from docplex.mp.model import Model
# Qiskit imports
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit.utils.algorithm_gl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
problem = QuadraticProgram("sample")
problem.binary_var("x")
problem.binary_var("y")
problem.maximize(linear={"x": 1, "y": -2})
print(problem.prettyprint())
from qiskit.algorithms import NumPyMinimumEigensolver
from qiskit_optimization.algorithms import Mini... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
from qiskit_optimization.translators import from_docplex_mp
# Make a Docplex model
from docplex.mp.model import Model
mdl = Model("docplex model")
x = mdl.binary_var("x")
y = mdl.integer_var(lb=-1, ub=5, name="y")
mdl.minimize(x + 2 * y)
mdl.add_constraint(x ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
qp = QuadraticProgram()
qp.binary_var("x")
qp.binary_var("y")
qp.integer_var(lowerbound=0, upperbound=7, name="z")
qp.maximize(linear={"x": 2, "y": 1, "z": 1})
qp.linear_constraint(linear={"x": 1, "y": 1, "z": 1}, sense="LE", rhs=5.5, name="xyz_leq")
qp.linear... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer
from qiskit_optimization.translators import from_docplex_mp
from docplex.mp.model import Model
model = Model()
x0 = m... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptim... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # useful additional packages
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
from qiskit_aer import Aer
from qiskit.tools.visualization import plot_histogram
from qiskit.circuit.library import TwoLocal
from qiskit_optimization.applications import Maxcut, Tsp
from qiskit.algorithms.min... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
try:
import cplex
from cplex.exceptions import CplexError
except:
print("Warning: Cplex not found.")
import math
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import SamplingVQE
from qiskit.algorithms.o... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import RealAmplitudes
from qiskit.algorithms.optimizers import COBYLA
from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, SamplingVQE
from qiskit.primitives import Sampler
from qiskit_optimization.converters import LinearEqualityToPenalty
from qiskit_optimization... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.applications.... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import copy
# Problem modelling imports
from docplex.mp.model import Model
# Qiskit imports
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit.utils.algorithm_gl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
problem = QuadraticProgram("sample")
problem.binary_var("x")
problem.binary_var("y")
problem.maximize(linear={"x": 1, "y": -2})
print(problem.prettyprint())
from qiskit.algorithms import NumPyMinimumEigensolver
from qiskit_optimization.algorithms import Mini... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
from qiskit_optimization.translators import from_docplex_mp
# Make a Docplex model
from docplex.mp.model import Model
mdl = Model("docplex model")
x = mdl.binary_var("x")
y = mdl.integer_var(lb=-1, ub=5, name="y")
mdl.minimize(x + 2 * y)
mdl.add_constraint(x ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
qp = QuadraticProgram()
qp.binary_var("x")
qp.binary_var("y")
qp.integer_var(lowerbound=0, upperbound=7, name="z")
qp.maximize(linear={"x": 2, "y": 1, "z": 1})
qp.linear_constraint(linear={"x": 1, "y": 1, "z": 1}, sense="LE", rhs=5.5, name="xyz_leq")
qp.linear... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer
from qiskit_optimization.translators import from_docplex_mp
from docplex.mp.model import Model
model = Model()
x0 = m... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptim... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # useful additional packages
import matplotlib.pyplot as plt
import numpy as np
import networkx as nx
from qiskit_aer import Aer
from qiskit.tools.visualization import plot_histogram
from qiskit.circuit.library import TwoLocal
from qiskit_optimization.applications import Maxcut, Tsp
from qiskit.algorithms.min... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
try:
import cplex
from cplex.exceptions import CplexError
except:
print("Warning: Cplex not found.")
import math
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import SamplingVQE
from qiskit.algorithms.o... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import RealAmplitudes
from qiskit.algorithms.optimizers import COBYLA
from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, SamplingVQE
from qiskit.primitives import Sampler
from qiskit_optimization.converters import LinearEqualityToPenalty
from qiskit_optimization... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.applications.... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import copy
# Problem modelling imports
from docplex.mp.model import Model
# Qiskit imports
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit.utils.algorithm_gl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.circuit.quantumcircuitdata import CircuitInstruction
from qiskit.circuit import Measure
from qiskit.circuit.library import HGate, CXGate
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
instructions = [
CircuitInstruction(... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Operator
from qiskit.transpiler.passes import UnitarySynthesis
circuit = QuantumCircuit(1)
circuit.rx(0.8, 0)
unitary = Operator(circuit).data
unitary_circ = QuantumCircuit(1)
unitary_circ.unitary(unitary, [0])
synth = UnitarySynthesis(basi... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
# Create a circuit with a register of three qubits
circ = QuantumCircuit(3)
# H gate on qubit 0, putting this qubit in a superposition of |0> + |1>.
circ.h(0)
# A CX (CNOT) gate on control qubit 0 and target qubit 1 generating a Bell state.
circ.cx(0, 1)
# CX (CNOT) gate on cont... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import BasicAer, transpile, QuantumRegister, ClassicalRegister, QuantumCircuit
qr = QuantumRegister(1)
cr = ClassicalRegister(1)
qc = QuantumCircuit(qr, cr)
qc.h(0)
qc.measure(0, 0)
qc.draw('mpl') |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import BasicAer, transpile, QuantumRegister, ClassicalRegister, QuantumCircuit
qr = QuantumRegister(1)
cr = ClassicalRegister(1)
qc = QuantumCircuit(qr, cr)
qc.h(0)
qc.measure(0, 0)
qc.x(0).c_if(cr, 0)
qc.measure(0, 0)
qc.draw('mpl') |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
qc = QuantumCircuit(12)
for idx in range(5):
qc.h(idx)
qc.cx(idx, idx+5)
qc.cx(1, 7)
qc.x(8)
qc.cx(1, 9)
qc.x(7)
qc.cx(1, 11)
qc.swap(6, 11)
qc.swap(6, 9)
qc.swap(6, 10)
qc.x(6)
qc.draw('mpl') |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import MCXGate
gate = MCXGate(4)
from qiskit import QuantumCircuit
circuit = QuantumCircuit(5)
circuit.append(gate, [0, 1, 4, 2, 3])
circuit.draw('mpl') |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.