repo stringclasses 900
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https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import datetime
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.rcParams.update({"text.usetex": True})
plt.rcParams["figure.figsize"] = (6,4)
mpl.rcParams["figure.dpi"] = 200
from qiskit_ibm_runtime import Estimator, Session, QiskitRuntimeService, Options
from qiskit.quantum_in... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import random
from qiskit.quantum_info import Statevector
secret = random.randint(0,7) # the owner is randomly picked
secret_string = format(secret, '03b') # format the owner in 3-bit string
oracle = Statevector.from_label(secret_string) # let the oracle know the owner
from qiskit.algorithms import Amplific... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.random import random_circuit
circuit = random_circuit(2, 2, seed=0).decompose(reps=1)
display(circuit.draw("mpl"))
from qiskit.quantum_info import SparsePauliOp
observable = SparsePauliOp("XZ")
print(f">>> Observable: {observable.paulis}")
from qiskit.primitives import Estimator
est... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.random import random_circuit
circuit = random_circuit(2, 2, seed=0, measure=True).decompose(reps=1)
display(circuit.draw("mpl"))
from qiskit.primitives import Sampler
sampler = Sampler()
job = sampler.run(circuit)
print(f">>> Job ID: {job.job_id()}")
print(f">>> Job Status: {job.statu... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.circuit.library import QFT
def create_qpe_circuit(theta, num_qubits):
'''Creates a QPE circuit given theta and num_qubits.'''
# Step 1: Create a circuit with two quantum registers and one classica... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # load necessary Runtime libraries
from qiskit_ibm_runtime import QiskitRuntimeService, Sampler, Session
backend = "ibmq_qasm_simulator" # use the simulator
from qiskit.circuit import Parameter
from qiskit.opflow import I, X, Z
mu = Parameter('$\\mu$')
ham_pauli = mu * X
cc = Parameter('$c$')
ww = Para... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Create circuit to test transpiler on
from qiskit import QuantumCircuit
from qiskit.circuit.library import GroverOperator, Diagonal
oracle = Diagonal([1]*7 + [-1])
qc = QuantumCircuit(3)
qc.h([0,1,2])
qc = qc.compose(GroverOperator(oracle))
# Use Statevector object to calculate the ideal output
from qiskit.q... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.72" # Two Hydrogen atoms, 0.72 Angstrom apart
)
molecule = driver.run()
from qiskit_nature.second_q.mappers import QubitConverter, ParityMapper
qubit_converter = QubitConverter(ParityMapper())
hamiltonian =... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit import Parameter
from qiskit import QuantumCircuit
theta = Parameter('$\\theta$')
chsh_circuits_no_meas = QuantumCircuit(2)
chsh_circuits_no_meas.h(0)
chsh_circuits_no_meas.cx(0, 1)
chsh_circuits_no_meas.ry(theta, 0)
chsh_circuits_no_meas.draw('mpl')
import numpy as np
number_of_pha... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import datetime
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.rcParams.update({"text.usetex": True})
plt.rcParams["figure.figsize"] = (6,4)
mpl.rcParams["figure.dpi"] = 200
from qiskit_ibm_runtime import Estimator, Session, QiskitRuntimeService, Options
from qiskit.quantum_in... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import random
from qiskit.quantum_info import Statevector
secret = random.randint(0,7) # the owner is randomly picked
secret_string = format(secret, '03b') # format the owner in 3-bit string
oracle = Statevector.from_label(secret_string) # let the oracle know the owner
from qiskit.algorithms import Amplific... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.random import random_circuit
circuit = random_circuit(2, 2, seed=0).decompose(reps=1)
display(circuit.draw("mpl"))
from qiskit.quantum_info import SparsePauliOp
observable = SparsePauliOp("XZ")
print(f">>> Observable: {observable.paulis}")
from qiskit.primitives import Estimator
est... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.random import random_circuit
circuit = random_circuit(2, 2, seed=0, measure=True).decompose(reps=1)
display(circuit.draw("mpl"))
from qiskit.primitives import Sampler
sampler = Sampler()
job = sampler.run(circuit)
print(f">>> Job ID: {job.job_id()}")
print(f">>> Job Status: {job.statu... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.circuit.library import QFT
def create_qpe_circuit(theta, num_qubits):
'''Creates a QPE circuit given theta and num_qubits.'''
# Step 1: Create a circuit with two quantum registers and one classica... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # load necessary Runtime libraries
from qiskit_ibm_runtime import QiskitRuntimeService, Sampler, Session
backend = "ibmq_qasm_simulator" # use the simulator
from qiskit.circuit import Parameter
from qiskit.opflow import I, X, Z
mu = Parameter('$\\mu$')
ham_pauli = mu * X
cc = Parameter('$c$')
ww = Para... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Create circuit to test transpiler on
from qiskit import QuantumCircuit
from qiskit.circuit.library import GroverOperator, Diagonal
oracle = Diagonal([1]*7 + [-1])
qc = QuantumCircuit(3)
qc.h([0,1,2])
qc = qc.compose(GroverOperator(oracle))
# Use Statevector object to calculate the ideal output
from qiskit.q... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.72" # Two Hydrogen atoms, 0.72 Angstrom apart
)
molecule = driver.run()
from qiskit_nature.second_q.mappers import QubitConverter, ParityMapper
qubit_converter = QubitConverter(ParityMapper())
hamiltonian =... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit import Parameter
from qiskit import QuantumCircuit
theta = Parameter('$\\theta$')
chsh_circuits_no_meas = QuantumCircuit(2)
chsh_circuits_no_meas.h(0)
chsh_circuits_no_meas.cx(0, 1)
chsh_circuits_no_meas.ry(theta, 0)
chsh_circuits_no_meas.draw('mpl')
import numpy as np
number_of_pha... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import datetime
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.rcParams.update({"text.usetex": True})
plt.rcParams["figure.figsize"] = (6,4)
mpl.rcParams["figure.dpi"] = 200
from qiskit_ibm_runtime import Estimator, Session, QiskitRuntimeService, Options
from qiskit.quantum_in... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import random
from qiskit.quantum_info import Statevector
secret = random.randint(0,7) # the owner is randomly picked
secret_string = format(secret, '03b') # format the owner in 3-bit string
oracle = Statevector.from_label(secret_string) # let the oracle know the owner
from qiskit.algorithms import Amplific... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.random import random_circuit
circuit = random_circuit(2, 2, seed=0).decompose(reps=1)
display(circuit.draw("mpl"))
from qiskit.quantum_info import SparsePauliOp
observable = SparsePauliOp("XZ")
print(f">>> Observable: {observable.paulis}")
from qiskit.primitives import Estimator
est... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.random import random_circuit
circuit = random_circuit(2, 2, seed=0, measure=True).decompose(reps=1)
display(circuit.draw("mpl"))
from qiskit.primitives import Sampler
sampler = Sampler()
job = sampler.run(circuit)
print(f">>> Job ID: {job.job_id()}")
print(f">>> Job Status: {job.statu... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.circuit.library import QFT
def create_qpe_circuit(theta, num_qubits):
'''Creates a QPE circuit given theta and num_qubits.'''
# Step 1: Create a circuit with two quantum registers and one classica... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # load necessary Runtime libraries
from qiskit_ibm_runtime import QiskitRuntimeService, Sampler, Session
backend = "ibmq_qasm_simulator" # use the simulator
from qiskit.circuit import Parameter
from qiskit.opflow import I, X, Z
mu = Parameter('$\\mu$')
ham_pauli = mu * X
cc = Parameter('$c$')
ww = Para... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Create circuit to test transpiler on
from qiskit import QuantumCircuit
from qiskit.circuit.library import GroverOperator, Diagonal
oracle = Diagonal([1]*7 + [-1])
qc = QuantumCircuit(3)
qc.h([0,1,2])
qc = qc.compose(GroverOperator(oracle))
# Use Statevector object to calculate the ideal output
from qiskit.q... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.72" # Two Hydrogen atoms, 0.72 Angstrom apart
)
molecule = driver.run()
from qiskit_nature.second_q.mappers import QubitConverter, ParityMapper
qubit_converter = QubitConverter(ParityMapper())
hamiltonian =... |
https://github.com/qiskit-community/qiskit-bip-mapper | qiskit-community | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or deriv... |
https://github.com/qiskit-community/qiskit-bip-mapper | qiskit-community | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or deriv... |
https://github.com/contepablod/QCNNCancerBinaryClassifier | contepablod | from IPython.display import Image
Image('https://raw.githubusercontent.com/contepablod/QCNNCancerClassifier/master/Esophagus%20Cancer.JPG')
import os # módulo para manejar carpetas y archivos en nuestro ordenador
import random # módulo para aleatorizar
import numpy as np # biblioteca para ... |
https://github.com/contepablod/QCNNCancerBinaryClassifier | contepablod | from IPython.display import Image
Image('https://raw.githubusercontent.com/contepablod/QCNNCancerClassifier/master/Esophagus%20Cancer.JPG')
import os
import random
import numpy as np
import pandas as pd
from skimage import io
from sklearn.model_selection import train_test_split ... |
https://github.com/contepablod/QCNNCancerBinaryClassifier | contepablod | import os
import shutil
import random
import pathlib
import pandas as pd
data = pd.read_csv("https://raw.githubusercontent.com/AnIsAsPe/ClassificadorCancerEsofago/master/Datos/ClasesImagenes.csv", usecols=[1,2])
data['class'] = data['class_number'] == 1
data.head()
data['class'].value_counts()
#Split... |
https://github.com/if-quantum/pairwise-tomography | if-quantum |
# pylint: disable=missing-docstring
import unittest
import itertools
import numpy as np
from qiskit import QuantumRegister, QuantumCircuit, execute, Aer
from qiskit.quantum_info import state_fidelity
from qiskit.quantum_info import partial_trace
from qiskit.quantum_info.states import DensityMatrix
from ... |
https://github.com/if-quantum/pairwise-tomography | if-quantum | from qiskit import execute, Aer
from qiskit import QuantumCircuit, QuantumRegister
from qiskit.providers import JobStatus
from qiskit.tools.qi.qi import partial_trace
from qiskit.quantum_info import state_fidelity
from qiskit.compiler import transpile
from qiskit.quantum_info.random.utils import random_state
... |
https://github.com/if-quantum/pairwise-tomography | if-quantum | """
Pairwise tomography circuit generation
"""
# pylint: disable=invalid-name
import numpy as np
from qiskit import ClassicalRegister
from qiskit.ignis.verification.tomography.basis.circuits import _format_registers
def pairwise_state_tomography_circuits(circuit, measured_qubits):
"""
Generates a m... |
https://github.com/qiskit-community/archiver4qiskit | qiskit-community | import os
import qiskit
from qiskit import IBMQ, Aer
import uuid
import pickle
try:
IBMQ.load_account()
except:
print('Unable to load IBMQ account')
def _prep():
if 'archive' not in os.listdir():
os.mkdir('archive')
_prep()
class Archive():
'''
A... |
https://github.com/mlvqc/Byskit | mlvqc | from qiskit.tools.jupyter import *
from qiskit import IBMQ
IBMQ.load_account()
#provider = IBMQ.get_provider(hub='ibm-q', group='open', project='main')
provider = IBMQ.get_provider(hub='ibm-q-oxford', group='on-boarding', project='on-boarding-proj')
from qiskit import QuantumRegister, ClassicalRegister
from q... |
https://github.com/mlvqc/Byskit | mlvqc | import numpy as np
import matplotlib.pyplot as plt
from qiskit import *
from qiskit.aqua.algorithms import Grover
# First princinple for two parent nodes and one child
class byskit():
def __init__(self, backend, parents, child, evd = None):
self.backend = backend
self.parents = parents
... |
https://github.com/mlvqc/Byskit | mlvqc | import numpy as np
import matplotlib.pyplot as plt
from qiskit import *
from qiskit.aqua.algorithms import Grover
# First princinple for two parent nodes and one child
class byskit():
def __init__(self, backend,network, loaded_net, evd = None):
self.backend = backend
self.network = netwo... |
https://github.com/mlvqc/Byskit | mlvqc | from qiskit import IBMQ
IBMQ.load_account()
# provider = IBMQ.get_provider(hub='ibm-q', group='open', project='main')
#provider = IBMQ.get_provider(hub='ibm-q-oxford', group='on-boarding', project='on-boarding-proj')
from qiskit import BasicAer
backend = BasicAer.get_backend('qasm_simulator')
# Include matplo... |
https://github.com/mlvqc/Byskit | mlvqc | #initialization
import matplotlib.pyplot as plt
import numpy as np
# importing Qiskit
from qiskit import IBMQ, Aer, assemble, transpile
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit.providers.ibmq import least_busy
# import basic plot tools
from qiskit.visualization impor... |
https://github.com/mlvqc/Byskit | mlvqc | from qiskit import IBMQ
IBMQ.load_account()
# provider = IBMQ.get_provider(hub='ibm-q', group='open', project='main')
provider = IBMQ.get_provider(hub='ibm-q-oxford', group='on-boarding', project='on-boarding-proj')
from qiskit import BasicAer
backend = BasicAer.get_backend('unitary_simulator')
%matplotlib in... |
https://github.com/mlvqc/Byskit | mlvqc | from qiskit import IBMQ
IBMQ.load_account()
# provider = IBMQ.get_provider(hub='ibm-q', group='open', project='main')
#provider = IBMQ.get_provider(hub='ibm-q-oxford', group='on-boarding', project='on-boarding-proj')
from qiskit import BasicAer
backend = BasicAer.get_backend('qasm_simulator')
# Include matplo... |
https://github.com/mlvqc/Byskit | mlvqc | import numpy as np
import matplotlib.pyplot as plt
from qiskit import *
# First princinple for two parent nodes and one child
class byskit():
def __init__(self, provider, backend, n, parents, child):
self.provider = provider
self.backend = backend
self.parents = parents
se... |
https://github.com/mlvqc/Byskit | mlvqc | import numpy as np
import matplotlib.pyplot as plt
from qiskit import *
import matplotlib.pyplot as plt
n = 5 # must be >= 2
ctrl = QuantumRegister(n, 'ctrl')
anc = QuantumRegister(n-1, 'anc')
tgt = QuantumRegister(1, 'tgt')
circ = QuantumCircuit(ctrl, anc, tgt)
# compute
circ.ccx(ctrl[0], ctrl[1],... |
https://github.com/mlvqc/Byskit | mlvqc | import numpy as np
import matplotlib.pyplot as plt
from qiskit import *
# First princinple for two parent nodes and one child
class byskit():
def __init__(self, provider, backend, n, parents, child):
self.provider = provider
self.backend = backend
self.parents = parents
se... |
https://github.com/mlvqc/Byskit | mlvqc | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q', group='open', project='main')
from qiskit import BasicAer
from qiskit.tools.visualization import plot_histogram
backend = BasicAer.get_backend('qasm_simulator')
%matplotlib inline
from byskit import byskit,gen_random_... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | # !pip install --upgrade pip
# !pip uninstall tensorflow --y
# !pip install tensorflow
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
# load csv file
import pandas as pd
# numpy to the seed
import numpy as np
# load csv fileframework to neural networks
i... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
# to use dataframe and load csv file
import pandas as pd
# to use for mathematical operations
import numpy as np
# split the set in 2 set, common train and test
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
# plot... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.pyp... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.pyp... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | from sklearn.metrics import ConfusionMatrixDisplay
import numpy as np
import matplotlib.pyplot as plt
ConfusionMatrixDisplay(confusion_matrix).plot()
confusion_matrix = np.array([[4684, 346],[829, 300]])
plt.figure()
plt.imshow(confusion_matrix, cmap="Blues")
for i in range(2):
for j in range(2):
... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | # %pip install qiskit
# %pip install docplex
# %pip install qiskit_optimization
# %pip install networkx
# %pip install geopandas
# %pip install folium
import networkx as nx
import geopandas as gpd
import folium
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import itertools
im... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | # !pip install --upgrade pip
# !pip uninstall tensorflow --y
# !pip install tensorflow
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
# load csv file
import pandas as pd
# numpy to the seed
import numpy as np
# load csv fileframework to neural networks
i... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
# to use dataframe and load csv file
import pandas as pd
# to use for mathematical operations
import numpy as np
# split the set in 2 set, common train and test
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
# plot... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.pyp... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.pyp... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | https://arxiv.org/pdf/2010.07335.pdf
https://arxiv.org/pdf/2105.10162.pdf
https://arxiv.org/pdf/2203.01340.pdf maria
https://arxiv.org/pdf/1810.03787.pdf MERA
https://arxiv.org/pdf/1905.01426.pdf MERA 2
https://pennylane.ai/qml/demos/tutorial_tn_circuits.html |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | # !pip install --upgrade pip
# !pip uninstall tensorflow --y
# !pip install tensorflow
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
# load csv file
import pandas as pd
# numpy to the seed
import numpy as np
# load csv fileframework to neural networks
i... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | # !pip install --upgrade pip
# !pip uninstall tensorflow --y
# !pip install tensorflow
#import os
#os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
#os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
# load csv file
import pandas as pd
# numpy to the seed
import numpy as np
# load csv fileframework to neural networks... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.pyp... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
from sklearn.preprocessing import StandardScaler
# load the csv files
import pandas as pd
# plot ... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.pyp... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.pyp... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
import tensorflow as tf
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from IPython.display import clear_output
clear_output(wait=False)
import ... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#!pip install pennylane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.p... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#!pip install pennylane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
from sklearn.preprocessing import StandardScaler
# load the csv files
import pandas as pd
# plo... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#!pip install pennylane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.p... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#!pip install pennylane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.p... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
# pip install pennylane
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
import tensorflow as tf
import pandas as pd
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
from IPyt... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
# pip install pennylane
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
import tensorflow as tf
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.preprocessing import StandardScaler
impor... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
# pip install pennylane
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
import tensorflow as tf
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from IPyt... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
# pip install pennylane
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
import tensorflow as tf
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
from IPyt... |
https://github.com/adarshisme/QiskitBiskitGlobal | adarshisme | !pip install qiskit
!pip install matplotlib
!pip install sympy
from tqdm import tqdm
import numpy as np
import math
import qiskit
from qiskit import circuit
from qiskit.circuit.random import random_circuit
import copy
import matplotlib as mpl
import matplotlib.pyplot as plt
from qiskit.quantum_info import... |
https://github.com/adarshisme/QiskitBiskitGlobal | adarshisme | import pandas as pd
import numpy as np
import torch
from torch.autograd import Variable
import sklearn
from sklearn.model_selection import train_test_split
# Function to calculate the amplitude damping and dephasing param/feature values
# in the dataset - enumerate all combinations from [0.05, 0.25] with 0.05 ... |
https://github.com/primaryobjects/oracle | primaryobjects | from lib.util import execute
from lib.grover import grover
from lib.oracles.entangle import oracle
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
#
# Superimposed Emotions
#
# Generates an emoticon from two ASCII binary strings that contain nearly identical bits except for a few.
# The ... |
https://github.com/primaryobjects/oracle | primaryobjects | """Python implementation of Grovers algorithm through use of the Qiskit library to find the value 3 (|11>)
out of four possible values."""
#import numpy and plot library
import matplotlib.pyplot as plt
import numpy as np
# importing Qiskit
from qiskit import IBMQ, Aer, QuantumCircuit, ClassicalRegister, Qu... |
https://github.com/primaryobjects/oracle | primaryobjects | import json
import logging
import numpy as np
import warnings
from functools import wraps
from typing import Any, Callable, Optional, Tuple, Union
from qiskit import IBMQ, QuantumCircuit, assemble
from qiskit.circuit import Barrier, Gate, Instruction, Measure
from qiskit.circuit.library import UGate, U3Ga... |
https://github.com/primaryobjects/oracle | primaryobjects | from qiskit import QuantumCircuit
def oracle(b1, b2, entanglements):
'''
Takes two bit strings (b1 and b2) and entangles the qubits at indices entanglements[] using CNOT.
Returns a quantum circuit that represents the state of both bit strings simultaneously.
Measuring the result will force an out... |
https://github.com/primaryobjects/oracle | primaryobjects | from qiskit import QuantumCircuit
from qiskit.circuit.library.standard_gates.z import ZGate
def oracle(logic, n):
'''
Returns a quantum circuit that recognizes even numbers. We do this by checking if qubit 0 equals 0 (even).
Upon starting, all qubits are assumed to have a value of 1. We only need to ... |
https://github.com/primaryobjects/oracle | primaryobjects | from qiskit import QuantumCircuit
from qiskit.circuit.classicalfunction.classicalfunction import ClassicalFunction
def oracle(logic, n):
'''
Returns a quantum circuit that implementes the logic for n qubits.
Parameters:
logic: a Python function using the format below.
def oracle_fun... |
https://github.com/primaryobjects/oracle | primaryobjects | from qiskit import QuantumCircuit
from qiskit.circuit.library.standard_gates.z import ZGate
def oracle(i, n):
'''
Returns a quantum circuit that recognizes a single number i.
Upon starting, all qubits are assumed to have a value of 1.
Parameters:
i: the target value to be recognized, an int... |
https://github.com/primaryobjects/oracle | primaryobjects | from qiskit import QuantumCircuit
from qiskit.circuit.library.standard_gates.z import ZGate
def oracle(logic, n):
'''
Returns a quantum circuit that recognizes odd numbers. We do this by checking if qubit 0 equals 1 (odd).
Upon starting, all qubits are assumed to have a value of 1. We only need to co... |
https://github.com/esloho/Qrangen | esloho | from math import sqrt, pi
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import oracle_simple
import composed_gates
def get_circuit(n, oracles):
"""
Build the circuit composed by the oracle black box and the other quantum gates.
:param n: The number of qubits (not including... |
https://github.com/esloho/Qrangen | esloho | # Copyright (C) 2024 qBraid
#
# This file is part of the qBraid-SDK
#
# The qBraid-SDK is free software released under the GNU General Public License v3
# or later. You can redistribute and/or modify it under the terms of the GPL v3.
# See the LICENSE file in the project root or <https://www.gnu.org/licenses/gpl-... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | # importing the libraries
from qiskit import *
from qiskit import IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import numpy as np
import math
import matplotlib.pyplot as plt
from matplotlib import style
from PIL import Image
styl... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualization import plot_histogram, plot_bloch_multivector
from numpy.random import randint
import numpy as np
print("Imports Successful")
qc = QuantumCircuit(1,1)
# Alice prepares qubit in state |+>
qc.h(0)
qc.barrier()
# Alice now sen... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
a = -1
b = 2.3
z = 2 + 3j
# type of a variable
print(type(a))
print(type(b))
print(type(z))
# real and imaginary parts
print(np.real(z))
print(np.imag(z))
# conjugation
print(z)
print(np.conjugate(z))
# plot the conjugates
import matplotlib.pyplot as plt
# make figure
... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
import matplotlib.pyplot as plt
def error_rate_3bit(p):
return p**3 + 3*p**2*(1-p)
p_vals = np.linspace(0, 1, num=100)
plt.plot(p_vals, 1 - error_rate_3bit(p_vals), label='3bit no error')
# plt.plot(p_vals, error_rate_3bit(p_vals), label='3bit error')
plt.plot(p_vals, 1 - p_v... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
# import numpy
# this is a comment
pi_number = np.pi
print(pi_number)
e_number = np.e
print(e_number)
# float with specific number of decimals
print("pie is {0:.5f}, {1}".format(pi_number, " test"))
print(f"pi is {pi_number}")
print("The Euler number is {0:.2f}".format(e_number))... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
n = 4
dimension = 2**n
v = np.zeros(dimension, dtype=np.complex128)
print(np.shape(v))
real = np.random.rand(dimension)
imag = np.random.rand(dimension)
v = real + 1j*imag
# calculate norm of v
def norm(v):
norm = np.sqrt(np.dot(np.conjugate(v), v))
return norm
print(norm(v)... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
v = np.array([1, 1])
v2 = np.array([[1], [1]])
u = np.array([0, -1, 2, 3, -0.3])
r = np.zeros(5)
r2 = np.zeros((5, 1))
print(v)
print(v2)
print(u)
print(r)
print(r2)
print(u[3])
u2 = u[:3]
print(u2)
u3 = u[3:]
print(u3)
def norm(x):
sum = 0
for val in x:
... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | # import numpy library
import numpy as np
# import pyplot library
import matplotlib.pyplot as plt
# generate a random number between 0 and 1
np.random.randint(0, 5)
np.random.randint(0, 2, size=10)
# 1000 coin flips
A = np.random.randint(0, 2, size=1000)
# make figure
fig = plt.figure()
# ge... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
from qiskit import *
# Create a Quantum Circuit acting on a quantum register of two qubits
circ = QuantumCircuit(2, 2)
circ = QuantumCircuit(4, 4)
# Add a H gate on qubit 0, putting this qubit in superposition.
circ.x(0)
circ.x(1)
circ.h(0)
# Add a CX (CNOT) gate on control qubit 0 and t... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualization import plot_histogram, plot_bloch_multivector
from numpy.random import randint
import numpy as np
print("Imports Successful")
qc = QuantumCircuit(1,1)
# Alice prepares qubit in state |+>
qc.h(0)
qc.barrier()
# Alice now sen... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
def gcd(a, b):
r = 1
while r != 0:
r = a%b
if r == 0:
break
a = b
b = r
return b
print(gcd(630, 56))
N = 20
a = 7
r_vals = np.arange(2, N)
a_power_r = np.power(a, r_vals)
print(a_power_r)
a_r_mod_N = a_power_r%N
... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
from qiskit import *
print("successful!")
# define quantum circuit
N = 15
qc = QuantumCircuit(N, N)
# add quantum gates
qc.h(0)
for i in range(N - 1):
qc.cnot(i, i + 1)
# add barrier
qc.barrier(range(N))
# add measurement gauge/device
qc.measure(range(N), range(N)... |
https://github.com/e-eight/vqe | e-eight |
import numpy as np
import networkx as nx
import qiskit
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, assemble
from qiskit.quantum_info import Statevector
from qiskit.aqua.algorithms import NumPyEigensolver
from qiskit.quantum_info import Pauli
from qiskit.aqua.operators... |
https://github.com/e-eight/vqe | e-eight | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.... |
https://github.com/icepolarizer/qwgen | icepolarizer | #!/usr/bin/env python3
# Dependency: qiskit, pyperclip
def warn (* args, **kwargs):
pass
import warnings
warnings.warn = warn
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-c", "--clipboard", action="store_true",
help="paste to the clipboard")
parser.add... |
https://github.com/soumya-s3/qiskit_developer_test_notebook | soumya-s3 | import numpy as np
from qiskit import QuantumCircuit
# Building the circuit
# Create a Quantum Circuit acting on a quantum register of three qubits
circ = QuantumCircuit(3)
# Add a H gate on qubit 0, putting this qubit in superposition.
circ.h(0)
# Add a CX (CNOT) gate on control qubit 0 and target qubit 1... |
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