repo stringclasses 900
values | file stringclasses 754
values | content stringlengths 4 215k |
|---|---|---|
https://github.com/scaleway/qiskit-scaleway | scaleway | import os
import random
from qiskit import QuantumCircuit
from qiskit_scaleway import ScalewayProvider
def test_qsim_simple_circuit():
provider = ScalewayProvider(
project_id=os.environ["QISKIT_SCALEWAY_PROJECT_ID"],
secret_key=os.environ["QISKIT_SCALEWAY_API_TOKEN"],
url=os.en... |
https://github.com/scaleway/qiskit-scaleway | scaleway | # This code is part of Qiskit.
#
# (C) Copyright IBM 2022, 2023.
#
# 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... |
https://github.com/mgg39/qiskit-networks | mgg39 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017.
#
# 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/mgg39/qiskit-networks | mgg39 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017.
#
# 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/mgg39/qiskit-networks | mgg39 | import numpy as np
import qiskit
class Node:
"""
Object class for the empty Nodes.
"""
def __init__(self, name: str, location: list, elements: list, ports: list):
"""
Constructor of the Node.
:param name: the name of the Node.
:param location: defined locati... |
https://github.com/mgg39/qiskit-networks | mgg39 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017.
#
# 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/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | import os
import qiskit.ignis.verification.randomized_benchmarking as rb
#Number of seeds (random sequences)
nseeds = 2
#Number of Cliffords in the sequence
nCliffs = [1, 10, 20, 50]
#2Q RB on Q0,Q2 and 1Q RB on Q1 etc., also defines the width of the circuit
# rb_pattern = [[0,2],[1],[3,4]]
rb_pattern = [[0,1... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, execute, Aer
# https://quantum-circuit.com/app_details/about/66bpe6Jf5mgQMahgd
# oracle = '(A | B) & (A | ~B) & (~A | B)'
qc = QuantumCircuit()
q = QuantumRegister(8, 'q')
c = ClassicalRegister(2, 'c')
qc.add_registe... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit
# https://quantum-circuit.com/app_details/about/bw5r9HTiTHvQHtCB5
qc = QuantumCircuit()
q = QuantumRegister(5, 'q')
c = ClassicalRegister(3, 'c')
qc.add_register(q)
qc.add_register(c)
qc.h(q[0])
qc.h(q[1])
qc.h(q... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from typing import List
from qiskit import QuantumCircuit, transpile, QuantumRegister, ClassicalRegister
from qiskit import BasicAer,Aer,execute, IBMQ
from qiskit.providers.aer import QasmSimulator
from qiskit.circuit.library.arithmetic import DraperQFTAdder, RGQFTMultiplier
from qiskit.circuit.library import Inte... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from typing import List
from qiskit import QuantumCircuit, transpile, QuantumRegister, ClassicalRegister
from qiskit import BasicAer,Aer,execute, IBMQ
from qiskit.providers.aer import QasmSimulator
from qiskit.circuit.library.arithmetic import DraperQFTAdder, RGQFTMultiplier
from qiskit.circuit.library import Inte... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumCircuit
# n = 3 # number of qubits used to represent s
# s = '011' # the hidden binary string
# https://qiskit.org/textbook/ch-algorithms/bernstein-vazirani.html
def get_circuit(**kwargs):
n = kwargs["number_of_qubits"]
s = kwargs["s"]
# We need a circuit with n ... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
# https://github.com/Qiskit/qiskit-community-tutorials/blob/master/algorithms/bernstein_vazirani.ipynb
def get_circuit(**kwargs):
number_of_qubits = kwargs["number_of_qubits"]
a = kwargs["a"]
a = a % 2**(number_of_qubits) # a =... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
# https://github.com/Qiskit/qiskit-community-tutorials/blob/master/algorithms/bernstein_vazirani.ipynb
# https://doi.org/10.1073/pnas.1618020114
def get_circuit(**kwargs):
number_of_qubits = kwargs["number_of_qubits"]
s = kwargs["s"]... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit
qc = QuantumCircuit()
q = QuantumRegister(5, 'q')
c = ClassicalRegister(5, 'c')
qc.add_register(q)
qc.add_register(c)
qc.h(q[0])
qc.h(q[1])
qc.h(q[2])
qc.h(q[3])
# add identity gates to the circuit to enable rep... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, execute, Aer
# https://quantum-circuit.com/app_details/about/66bpe6Jf5mgQMahgd
# oracle = '(A | B) & (A | ~B) & (~A | B)'
qc = QuantumCircuit()
q = QuantumRegister(8, 'q')
c = ClassicalRegister(2, 'c')
qc.add_registe... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit
# https://quantum-circuit.com/app_details/about/LFQv9PKwerh3EzrLw
# searched oracle element is '0010'
qc = QuantumCircuit()
q = QuantumRegister(4, 'q')
ro = ClassicalRegister(4, 'ro')
qc.add_register(q)
qc.add_regist... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | import requests
from qiskit import QuantumCircuit
import json
def get_circuit(**kwargs):
adj_matrix = kwargs["adj_matrix"]
betas = kwargs["betas"]
gammas = kwargs["gammas"]
data = json.dumps({"adj_matrix": adj_matrix, "betas": betas, "gammas": gammas, })
headers = {"Content-Type": "appli... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit
# https://quantum-circuit.com/app_details/about/bw5r9HTiTHvQHtCB5
qc = QuantumCircuit()
q = QuantumRegister(5, 'q')
c = ClassicalRegister(3, 'c')
qc.add_register(q)
qc.add_register(c)
qc.h(q[0])
qc.h(q[1])
qc.h(q... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit
qc = QuantumCircuit()
q = QuantumRegister(5, 'q')
c = ClassicalRegister(5, 'c')
qc.add_register(q)
qc.add_register(c)
qc.h(q[0])
qc.h(q[1])
qc.h(q[2])
qc.h(q[3])
# add identity gates to the circuit to enable rep... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit
# https://quantum-circuit.com/app_details/about/bw5r9HTiTHvQHtCB5
qc = QuantumCircuit()
q = QuantumRegister(5, 'q')
c = ClassicalRegister(3, 'c')
qc.add_register(q)
qc.add_register(c)
qc.h(q[0])
qc.h(q[1])
qc.h(q... |
https://github.com/tula3and/qoupang | tula3and | from qiskit import *
# from qiskit import IBMQ
# IBMQ.save_account('<API Token>')
# provider = IBMQ.load_account()
# backend = IBMQ.get_provider(hub='ibm-q-kaist', group='internal', project='default').backends.ibmq_manhattan
backend = Aer.get_backend('qasm_simulator')
q = QuantumRegister(48)
c = ClassicalReg... |
https://github.com/ashishpatel26/IBM-Quantum-Challenge-Fall-2021 | ashishpatel26 | #Let us begin by importing necessary libraries.
from qiskit import Aer
from qiskit.algorithms import VQE, QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import *
from qiskit.circuit.library import TwoLocal
from qiskit.utils import QuantumInstance
from qiskit.utils import algorithm_globals
from q... |
https://github.com/ashishpatel26/IBM-Quantum-Challenge-Fall-2021 | ashishpatel26 | from qiskit_nature.drivers import Molecule
from qiskit_nature.drivers.second_quantization import ElectronicStructureDriverType, ElectronicStructureMoleculeDriver
# PSPCz molecule
geometry = [['C', [ -0.2316640, 1.1348450, 0.6956120]],
['C', [ -0.8886300, 0.3253780, -0.2344140]],
... |
https://github.com/ashishpatel26/IBM-Quantum-Challenge-Fall-2021 | ashishpatel26 | # General imports
import os
import gzip
import numpy as np
import matplotlib.pyplot as plt
from pylab import cm
import warnings
warnings.filterwarnings("ignore")
# scikit-learn imports
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import Stan... |
https://github.com/ashishpatel26/IBM-Quantum-Challenge-Fall-2021 | ashishpatel26 | from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit import Aer
from qiskit.utils import algorithm_globals, QuantumInstance
from qiskit.algorithms import QAOA, NumPyMinimumEigensolver
import numpy as np
val = [5,6,7,8,9]
wt = [4,5,6,7,8]
W = 18
def dp(W, wt, val, n):
k = [[0 for... |
https://github.com/kad99kev/MacHacks-QuantumVRP | kad99kev | import sys
import numpy as np
from matplotlib import pyplot as plt
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, visualization
from random import randint
def to_binary(N,n_bit):
Nbin = np.zeros(n_bit, dtype=bool)
for i in range(1,n_bit+1):
bit_sta... |
https://github.com/BoltzmannEntropy/QMLDocker | BoltzmannEntropy | %reset -f
import matplotlib.font_manager
import numpy as np
from matplotlib import pyplot as plt
font = {
'family':'SimHei',
'weight':'bold',
'size':'16'
}
matplotlib.rc("font",**font)
from IPython.display import display_pretty
import warnings
warnings.filterwarnings("ignore")
from qutip impo... |
https://github.com/quantumgenetics/quantumgenetics | quantumgenetics | from multiprocessing import Pool
from qiskit import Aer
import numpy as np
from collections import deque
from copy import deepcopy
import math
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
import random
from functools import reduce
class Genetic_Executor:
'''
It is just a... |
https://github.com/quantumgenetics/quantumgenetics | quantumgenetics | #!/usr/bin/env python3
import logging
from datetime import datetime
from qiskit import ClassicalRegister, QuantumCircuit, QuantumRegister
logger = logging.getLogger(__name__)
def map_circuit(circuit_qcount, gate_map, measurements):
logger.info('Producing circuit...')
before = datetime.now... |
https://github.com/quantumgenetics/quantumgenetics | quantumgenetics | #!/usr/bin/env python3
import logging
from datetime import datetime
from qiskit import QuantumCircuit
logger = logging.getLogger(__name__)
def initialized_empty_circuit(qubit_count, state):
logger.info('Produce circuit')
return initialized_circuit(QuantumCircuit(qubit_count, qubit_count... |
https://github.com/quantumgenetics/quantumgenetics | quantumgenetics | #!/usr/bin/env python3
import logging
from datetime import datetime
from qiskit import Aer, IBMQ
from qiskit import execute as qiskit_execute
from qiskit.providers.aer import noise
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors import pauli_error
# List of g... |
https://github.com/VGGatGitHub/2020-QISKit-Summer-Jam | VGGatGitHub | import warnings
#warnings.filterwarnings('ignore', 'DeprecationWarning')
warnings.filterwarnings('once')
#%pip uninstall qiskit
#%pip install qiskit #==0.16
import qiskit.tools.jupyter
%qiskit_version_table
%qiskit_copyright
# useful additional packages
import matplotlib.pyplot as plt
import matplotl... |
https://github.com/VGGatGitHub/2020-QISKit-Summer-Jam | VGGatGitHub | import warnings
#warnings.filterwarnings('ignore', 'DeprecationWarning')
warnings.filterwarnings('once')
#%pip uninstall qiskit
#%pip install qiskit #==0.16
import qiskit.tools.jupyter
%qiskit_version_table
%qiskit_copyright
# useful additional packages
import matplotlib.pyplot as plt
import matplotl... |
https://github.com/VGGatGitHub/2020-QISKit-Summer-Jam | VGGatGitHub | #%pip uninstall qiskit
%pip install qiskit #==0.16
import qiskit.tools.jupyter
%qiskit_version_table
%qiskit_copyright
# useful additional packages
import matplotlib.pyplot as plt
import matplotlib.axes as axes
%matplotlib inline
import numpy as np
import networkx as nx
from qiskit import Aer
from ... |
https://github.com/VGGatGitHub/2020-QISKit-Summer-Jam | VGGatGitHub | import pandas as pd
data = pd.read_csv("data/breast-cancer.csv")
diagnosis = data["diagnosis"]
labels = diagnosis.map({"M": 1, "B": -1}).values
features = data.drop(["id", "diagnosis"], axis=1)
#VGG coomet next three lines to run with the originla data above
data = pd.read_csv("data/formatted_titanic.csv")
l... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate calibration
from dat... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate calibration
from dat... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate calibration
from dat... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import time
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate calibration
from dat... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import time
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate calibration
from dat... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import time
import copy
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate calibrat... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import time
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate Reference
from date... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import time
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate Reference
from date... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# import the bayesian packages
import pymc... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
import qiskit_experiments as qe
import qiskit.circuit.library as circuits
rb = qe.randomized_benchmarking
# for retrieving gate calibration
from datetime import datetime
import qiskit.providers.aer.noise.device as dv
# import the bayesian packages
import pymc3 as pm
import a... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
import qiskit_experiments as qe
import qiskit.circuit.library as circuits
rb = qe.randomized_benchmarking
# for retrieving gate calibration
from datetime import datetime
import qiskit.providers.aer.noise.device as dv
# import the bayesian packages
import pymc3 as pm
import a... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
#from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.tools.monitor import job_monitor
from qiskit import Aer
from qiskit.providers.aer.noise import NoiseModel
from qiskit import Quant... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
#from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.tools.monitor import job_monitor
from qiskit import Aer
from qiskit.providers.aer.noise import NoiseModel
from qiskit import Quant... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
#from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.tools.monitor import job_monitor
from qiskit import Aer
from qiskit.providers.aer.noise import NoiseModel
from qiskit import Quant... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
#from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.tools.monitor import job_monitor
from qiskit import Aer
from qiskit.providers.aer.noise import NoiseModel
from qiskit import Quant... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.tools.monitor import job_monitor
from qiskit import Aer
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.tools.monitor import job_monitor
from qiskit import Aer
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors.standard_errors import depolarizing_error, thermal_relaxa... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors.standard_errors import depolarizing_error, thermal_relaxa... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
import qiskit_experiments as qe
rb = qe.randomized_benchmarking
from scipy.optimize import curve_fit
# import the bayesian packages
import ... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
import qiskit_experiments as qe
rb = qe.randomized_benchmarking
from scipy.optimize import curve_fit
# import the bayesian packages
import ... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
import qiskit_experiments as qe
rb = qe.randomized_benchmarking
from scipy.optimize import curve_fit
# import the bayesian packages
import ... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.tools.monitor import job_monitor
from qiskit import Aer
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate calibration
from dat... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors.standard_errors import depolarizing_error, thermal_relaxa... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors.standard_errors import depolarizing_error, thermal_relaxa... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | import numpy as np
from qiskit import(
QuantumCircuit,
execute,
Aer)
from qiskit.visualization import plot_histogram
# Use Aer's qasm_simulator
simulator = Aer.get_backend('qasm_simulator')
# Create a Quantum Circuit acting on the q register
circuit = QuantumCircuit(2, 2)
# Add a H gate on qubit 0... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Copyright Alpine Quantum Technologies GmbH 2023
#
# 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/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Copyright IBM 2019, Alpine Quantum Technologies GmbH 2022.
#
# 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/LICENS... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Copyright IBM 2019, Alpine Quantum Technologies GmbH 2022.
#
# 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/LICENS... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Copyright IBM 2019, Alpine Quantum Technologies GmbH 2022.
#
# 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/LICENS... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Copyright Alpine Quantum Technologies GmbH 2023
#
# 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/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | from qiskit import *
from oracle_generation import generate_oracle
get_bin = lambda x, n: format(x, 'b').zfill(n)
def gen_circuits(min,max,size):
circuits = []
secrets = []
ORACLE_SIZE = size
for i in range(min,max+1):
cur_str = get_bin(i,ORACLE_SIZE-1)
(circuit, secret) = generate_oracle... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Alpine Quantum Technologies GmbH 2023
#
# 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 modi... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Copyright IBM 2019, Alpine Quantum Technologies 2023
#
# 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/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Alpine Quantum Technologies GmbH 2023
#
# 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 modi... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Alpine Quantum Technologies GmbH 2023.
#
# 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 mod... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Copyright IBM 2019, Alpine Quantum Technologies GmbH 2023.
#
# 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/LICENS... |
https://github.com/alpine-quantum-technologies/qiskit-aqt-provider-rc | alpine-quantum-technologies | # This code is part of Qiskit.
#
# (C) Alpine Quantum Technologies GmbH 2023
#
# 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 modi... |
https://github.com/tstopa/Qiskit_for_high_schools | tstopa | from qiskit import *
provider = IBMQ.load_account()
backend = provider.get_backend('ibmq_valencia')
import pprint
pprint.pprint(backend.configuration().coupling_map)
from qiskit.tools.visualization import plot_error_map
plot_error_map(backend) |
https://github.com/tstopa/Qiskit_for_high_schools | tstopa | %matplotlib inline
from qiskit import QuantumCircuit
from qiskit.compiler import transpile
from qiskit.transpiler import PassManager
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, IBMQ
from qiskit.tools.monitor import backend_overview, backend_monitor
from qiskit.compiler import t... |
https://github.com/tstopa/Qiskit_for_high_schools | tstopa | import qiskit
from qiskit import Aer
from qiskit.aqua.algorithms import Shor
N=15
shor = Shor(N)
backend = Aer.get_backend('qasm_simulator')
result = shor.run(backend)
print("The factors of {} computed by the Shor's algorithm: {}.".format(N, result['factors'][0]))
from qiskit.aqua.algorithms import Gr... |
https://github.com/tstopa/Qiskit_for_high_schools | tstopa | from qiskit import IBMQ
provider = IBMQ.load_account()
from qiskit.tools.monitor import backend_overview
backend_overview() |
https://github.com/tstopa/Qiskit_for_high_schools | tstopa | from qiskit import *
from qiskit import QuantumCircuit
circuit = QuantumCircuit(2)
%matplotlib inline
circuit.draw('mpl')
circuit.draw()
circuit.h([0])
circuit.draw()
%matplotlib inline
circuit.draw(output="mpl")
circuit.x([1])
circuit.draw()
circuit.draw(output="mpl")
circuit.cx([1], [0]... |
https://github.com/tstopa/Qiskit_for_high_schools | tstopa | from qiskit import *
qiskit.__qiskit_version__ |
https://github.com/tstopa/Qiskit_for_high_schools | tstopa | from qiskit.visualization import plot_bloch_vector
%matplotlib inline
plot_bloch_vector([0,0,1], title="Standard Qubit Value")
plot_bloch_vector([1,0,0], title="Qubit in the state |+⟩")
from qiskit import *
from math import pi
from qiskit.visualization import plot_bloch_multivector
qcA = QuantumCircuit(1)
... |
https://github.com/martian17/qiskit-graph-coloring-hamiltonian | martian17 | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, BasicAer
from qiskit.visualization import plot_histogram
def multi_toffoli_q(qc, q_controls, q_target, q_ancillas=None):
"""
N = number of qubits
controls = control qubits
target = target qubit
ancillas = an... |
https://github.com/martian17/qiskit-graph-coloring-hamiltonian | martian17 | """
This file is a prototype. Not used.
"""
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, Aer
from qiskit.visualization import plot_histogram
import math
def multi_toffoli_q(qc, q_controls, q_target, q_ancillas=None):
"""
N = number of qubits
controls... |
https://github.com/martian17/qiskit-graph-coloring-hamiltonian | martian17 | import math
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, BasicAer
from qiskit.visualization import plot_histogram
# 4,0 -> 00
# 4,1 -> 01
# 4,2 -> 10
# 4,3 -> 11
# 4, 3 -> 11
# 2,3 -> 1,1
# 1,1 -> exit
def genvec(veclen, n):
vec = []
veclen = int(vecl... |
https://github.com/martian17/qiskit-graph-coloring-hamiltonian | martian17 | import math
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, BasicAer
from qiskit.visualization import plot_histogram
# 4,0 -> 00
# 4,1 -> 01
# 4,2 -> 10
# 4,3 -> 11
# 4, 3 -> 11
# 2,3 -> 1,1
# 1,1 -> exit
def genvec(veclen, n):
vec = []
veclen = int(vecl... |
https://github.com/VicentePerezSoloviev/QAOA_BNSL_IBM | VicentePerezSoloviev | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from QAOA_gen import QAOA
import pandas as pd
import random
import numpy as np
from qiskit import Aer, execute
progress = []
def random_init_parameters(layers):
random_float_list = []
for i in range(2*layers):
x = random.uniform(0, np.pi... |
https://github.com/VicentePerezSoloviev/QAOA_BNSL_IBM | VicentePerezSoloviev | # all libraries used by some part of the VQLS-implementation
from qiskit import (
QuantumCircuit, QuantumRegister, ClassicalRegister,
Aer, execute, transpile, assemble
)
from qiskit.circuit import Gate, Instruction
from qiskit.quantum_info.operators import Operator
from qiskit.extensions import ZGate... |
https://github.com/VicentePerezSoloviev/QAOA_BNSL_IBM | VicentePerezSoloviev | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
We use n(n-1) qubits for the adj matrix and n(n-1)/2 qubits for the transition matrix
"""
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from itertools import combinations
m = 2
def mapping_mat_vec(n, row, col):
index = 0
... |
https://github.com/MuhammadMiqdadKhan/Improvement-of-Quantum-Circuits-Using-H-U-H-Sandwich-Technique-with-Diagonal-Matrix-Implementation | MuhammadMiqdadKhan | %matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
# Loading your IBM Q account(s)
provider = IBMQ.load_account... |
https://github.com/agneya-1402/Quantum-HalfAdder | agneya-1402 | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, Aer, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
from qiskit import *
# Loading your IBM Quantum account(s)
#provider = IBMQ.load_account()
... |
https://github.com/Dynamic-Vector/Qubit-Visualizer | Dynamic-Vector | from tkinter import *
import tkinter as tk
import numpy as np
from qiskit import QuantumCircuit
from qiskit.visualization import visualize_transition
from tkinter import LEFT,END,DISABLED,NORMAL
import warnings
warnings.filterwarnings('ignore')
#Initalize the Quantum circuit
def initialize_circuit():
... |
https://github.com/helenup/Quantum-Euclidean-Distance | helenup | # import the necessary libraries
import math as m
from qiskit import *
from qiskit import BasicAer
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
# First step is to encode the data into quantum states.
#There are some techniques to do it, in this case Amplitude embedding was us... |
https://github.com/helenup/Quantum-Euclidean-Distance | helenup | from qiskit import *
from qiskit import BasicAer
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
qreg = QuantumRegister(3, 'qreg')
creg = ClassicalRegister(3, 'creg')
qc = QuantumCircuit (qreg, creg)
# Initial state |01>
qc.x(qreg[1])
#swap_test
qc.h(qreg[0]) #Apply super... |
https://github.com/murogrande/IBM-cert-exam-study-questions | murogrande | ## import some libraries
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, Aer, execute, BasicAer, IBMQ
from math import sqrt
import qiskit
print(qiskit.__qiskit_version__)
qc =QuantumCircuit(3,3)
qc.h(0)
qc.cx(0,1)
qc.cx(0,2)
qc.h(2)
qc.cx(2,0)
print(qc.depth())
qc = QuantumCir... |
https://github.com/murogrande/IBM-cert-exam-study-questions | murogrande | ## import some libraries
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, Aer, execute, BasicAer, IBMQ
from math import sqrt
import qiskit
print(qiskit.__qiskit_version__)
qc =QuantumCircuit(3,3)
qc.h(0)
qc.cx(0,1)
qc.cx(0,2)
qc.h(2)
qc.cx(2,0)
print(qc.depth())
qc = QuantumCir... |
https://github.com/COFAlumni-USB/qiskit-fall-2022 | COFAlumni-USB | #Para la construccion de circuitos cuanticos
from qiskit import QuantumCircuit, execute
#Para la construccion de las calibraciones y su vinculacion
from qiskit import pulse, transpile
from qiskit.pulse.library import Gaussian
from qiskit.providers.fake_provider import FakeValencia, FakeHanoi
#Compuertas perso... |
https://github.com/COFAlumni-USB/qiskit-fall-2022 | COFAlumni-USB | #For Python and advanced manipulation import these packages
try:
import numpy as np
except:
!pip install numpy
import numpy as np
try:
import qiskit
except:
!pip install qiskit
import qiskit
try:
!pip install pylatexenc
estilo = 'mpl'
QuantumCircuit(1).draw(estilo)
except:
es... |
https://github.com/COFAlumni-USB/qiskit-fall-2022 | COFAlumni-USB | #For Python and advanced manipulation import these packages
try:
import numpy as np
except:
!pip install numpy
import numpy as np
try:
import qiskit
except:
!pip install qiskit
import qiskit
try:
!pip install pylatexenc
estilo = 'mpl'
QuantumCircuit(1).draw(estilo)
except:
es... |
https://github.com/COFAlumni-USB/qiskit-fall-2022 | COFAlumni-USB | import numpy as np
import math
import qiskit as qiskit
from numpy import sqrt
from random import randint
from qiskit import *
from qiskit import Aer, QuantumCircuit, IBMQ, execute, quantum_info, transpile
from qiskit.visualization import plot_state_city, plot_bloch_multivector
from qiskit.visualization import p... |
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