repo stringclasses 900
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https://github.com/bawejagb/Quantum_Computing | bawejagb | #Import Libraries
from qiskit import QuantumCircuit, transpile, Aer, assemble
from qiskit.providers.aer import QasmSimulator
from qiskit.visualization import plot_bloch_multivector, plot_histogram
from qiskit.visualization import array_to_latex, plot_state_qsphere
#Input State: 01
qc_ha=QuantumCircuit(4,2)
qc_... |
https://github.com/bawejagb/Quantum_Computing | bawejagb | from qiskit import IBMQ
IBMQ.providers()
#https://quantum-computing.ibm.com/
#Craete account on IBM from above link and Paste 'YOUR-IBM-API-TOKEN'
IBMQ.save_account('YOUR-IBM-API-TOKEN',overwrite=True)
IBMQ.load_account()
from qiskit import(
QuantumCircuit,
execute,
Aer)
from qiskit.visualization ... |
https://github.com/brunorijsman/qiskit-cheat-sheet | brunorijsman | from qiskit import *
from qiskit.visualization import *
from math import *
# A simple example Quantum Circuit that is used in many code snippets below
example_qc = QuantumCircuit(2, 1)
example_qc.h(0)
example_qc.cx(0, 1)
example_qc.measure(1, 0)
None
# Specify number of qubits and classical bits
qc = Quan... |
https://github.com/MadhavJivrajani/pyQSR | MadhavJivrajani | # -*- coding: utf-8 -*-
# pylint: disable=no-member
"""An IBM Qiskit implementation of quantum shift registers."""
__author__ = "Madhav Jivrajani"
from qiskit import QuantumCircuit, execute, Aer
from qiskit.circuit.exceptions import CircuitError
class QuantumLeftShift:
"""Circuit to implement a quant... |
https://github.com/ericardomuten/qiskit-advocate-mentorship | ericardomuten | # Mount Google Drive
from google.colab import drive # import drive from google colab
ROOT = "/content/drive" # default location for the drive
print(ROOT) # print content of ROOT (Optional)
drive.mount(ROOT) # we mount the google drive at /content/drive
!pip install qiskit
fro... |
https://github.com/ericardomuten/qiskit-advocate-mentorship | ericardomuten | # Mount Google Drive
from google.colab import drive # import drive from google colab
ROOT = "/content/drive" # default location for the drive
print(ROOT) # print content of ROOT (Optional)
drive.mount(ROOT) # we mount the google drive at /content/drive
!pip install pennylane
... |
https://github.com/ericardomuten/qiskit-advocate-mentorship | ericardomuten | !pip install qiskit
!pip install pylatexenc--upgrade
!pip install retworkx
#!pip install numpy --upgrade
from IPython.display import clear_output
clear_output()
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, Aer, transpile
from qiskit.circuit.library import ZGate, XGate
from qiskit.ext... |
https://github.com/ericardomuten/qiskit-advocate-mentorship | ericardomuten | # Mount Google Drive
from google.colab import drive # import drive from google colab
ROOT = "/content/drive" # default location for the drive
print(ROOT) # print content of ROOT (Optional)
drive.mount(ROOT) # we mount the google drive at /content/drive
!pip install pennylane
... |
https://github.com/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | 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/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | import warnings
from loguru import logger
from qiskit import QuantumCircuit, transpile
from qiskit_aer import AerSimulator
from qiskit_class_converter import ConversionService, ConversionType, __FULL_VERSION__
warnings.filterwarnings('ignore')
__FULL_VERSION__
input_value = [
[1, 0, 0, 0],
[0... |
https://github.com/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | """
Base Converter
"""
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2... |
https://github.com/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | """
QuantumCircuit to Bra-ket Notation Converter
"""
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under... |
https://github.com/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | """
QuantumCircuit to Matrix Converter
"""
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apach... |
https://github.com/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | """
converter service
"""
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Versio... |
https://github.com/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); yo... |
https://github.com/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); yo... |
https://github.com/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); yo... |
https://github.com/qiskit-community/qiskit-sat-synthesis | qiskit-community | %load_ext autoreload
%autoreload 2
# imports
from qiskit.circuit import QuantumCircuit
from qiskit.quantum_info import Clifford, Operator, StabilizerState, Statevector
from qiskit.transpiler import CouplingMap
from synthesis.sat_problem_clifford import SatProblemClifford
from synthesis.utils import line_co... |
https://github.com/qiskit-community/qiskit-sat-synthesis | qiskit-community | %load_ext autoreload
%autoreload 2
!pip install git+https://github.com/qiskit-community/qiskit-sat-synthesis
import numpy as np
# Qiskit includes
from qiskit.circuit import QuantumCircuit
from qiskit.circuit.library import LinearFunction, PermutationGate
from qiskit.quantum_info import Clifford
from qiski... |
https://github.com/smit14/Quantum-K-means-algorithm | smit14 | from sklearn.datasets import make_blobs
import numpy as np
import matplotlib.pyplot as plt
import math
def get_data(n,k,std):
data = make_blobs(n_samples=n, n_features=2, centers=k, cluster_std=std, random_state=100)
points = data[0]
centers = data[1]
return points,centers
def draw_pl... |
https://github.com/smit14/Quantum-K-means-algorithm | smit14 | from sklearn.datasets import make_blobs
import numpy as np
import matplotlib.pyplot as plt
import math
# import math lib
from math import pi
# import Qiskit
from qiskit import Aer, IBMQ, execute
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
# import basic plot tools
from qiskit.t... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import numpy as np
from qiskit_optimization import QuadraticProgram
from qiskit_optimization.converters import QuadraticProgramToQubo
import dimod
qp = QuadraticProgram("Example")
n = 3
for j in range(n):
qp.binary_var('x' + "_" + str(j))
linear_objective = np.array([-1,0,-1])
Q = np.array([[-2,0... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import networkx as nx
import dwave_networkx as dnx
from dwave.system import DWaveCliqueSampler
sampler = DWaveCliqueSampler()
a = sampler.largest_clique_size
K_a = nx.complete_graph(a)
clique = dnx.maximum_clique(K_a, sampler = sampler)
for node in K_a.nodes :
if node not in clique:
print(f"... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import networkx as nx
import dimod
import matplotlib.pyplot as plt
import dwave_networkx as dnx
from dwave.embedding import pegasus
import neal, dwave.system
# Define target Pegasus Graph
M = 16 # Defines number of qubits in Pegasus graph : 24M(M-1)
P_M = dnx.pegasus_graph(M, data = True) # allow the use o... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import itertools
import matplotlib.pyplot as plt
import networkx as nx
from dwave.system import DWaveSampler, FixedEmbeddingComposite
import dwave_networkx as dnx
import dimod
from minorminer import find_embedding
from random_lp.lp_random_gen import RandomLP
var = 3
cstr = 3
multiple = 1
penalty = 1
... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import itertools
import matplotlib.pyplot as plt
import networkx as nx
from qiskit_optimization import QuadraticProgram
from qiskit_optimization.converters import QuadraticProgramToQubo
from dwave.system import DWaveSampler, FixedEmbeddingComposite
import dimod
import dwave_networkx as dnx
from minorminer impor... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit_optimization import QuadraticProgram
from qiskit_optimization.converters import QuadraticProgramToQubo
from dwave.system import DWaveSampler, EmbeddingComposite
import dimod
import dwave.inspector
# select quadratic program to solve
qp = QuadraticProgram()
qp.read_from_lp_file("example.lp")
qubo =... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from pyqubo import Binary
x_0, x_1, x_2 = (Binary('x_'+str(i)) for i in range(3))
linear_obj = - x_0 - x_2
quadratic_obj = - x_0 + x_0*x_2 + x_1 - 2*x_1*x_2
linear_cstr = 8*(x_1 - x_2)**2
qubo_bqm = (linear_obj + quadratic_obj + linear_cstr).compile().to_bqm()
print(qubo) |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from collections import Counter
import matplotlib.pyplot as plt
import networkx as nx
import dwave_networkx as dnx
from dwave.embedding import pegasus
import dwave.system
pegasus_2 = dnx.pegasus_graph(2) # complete P_2
unit_cell_nodes = [8, 9, 10, 11, 36, 37, 38, 39]
odd_edges = [(node, node+1) for node in pe... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import dwavebinarycsp
import dimod
import neal
import numpy as np
from dwavebinarycsp.core.constraint import Constraint
from dwave.system import DWaveSampler, EmbeddingComposite
A = np.array([[1,1,1,1,1],
[2,2,2,2,2],
[0,1,2,3,4],
[2,1,4,1,0],
[0,1,0,1... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import dimod
import numpy as np
import dwave.system
A = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,1,1,1,0,3],
[1,5,2,3,4,1]])
m, n = A.shape
vartype = dimod.Vartype.BINARY
c = np.array([1,2,1,3,1,4])
b = np.array([1, 3, 2, 6])
# Set up linear and quadratic coeff... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import dimod
import neal
import numpy as np
from dwave.system import DWaveSampler, EmbeddingComposite
A = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,1,1,1,0,3],
[1,5,2,3,4,1]])
m, n = A.shape
vartype = dimod.Vartype.BINARY
c = np.array([1,2,1,3,1,4])
b = np.array([... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit.optimization import QuadraticProgram
from qiskit.optimization.algorithms import MinimumEigenOptimizer
from dwave.plugins.qiskit import DWaveMinimumEigensolver
import numpy as np
A = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,1,1,1,0,3],
[1,5,2,3,4,1]])
m, ... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit.optimization import QuadraticProgram
from qiskit.optimization.algorithms import MinimumEigenOptimizer
from dwave.plugins.qiskit import DWaveMinimumEigensolver
from dwave.system import DWaveCliqueSampler, LeapHybridSampler
import numpy as np
A = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit.optimization import QuadraticProgram
from docplex.mp.advmodel import AdvModel
from docplex.mp.model_reader import ModelReader
from qiskit.optimization.algorithms import MinimumEigenOptimizer
from dwave.plugins.qiskit import DWaveMinimumEigensolver
from dwave.system import DWaveCliqueSampler, LeapHy... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit.optimization import QuadraticProgram
from docplex.mp.advmodel import AdvModel
from docplex.mp.model_reader import ModelReader
from qiskit.optimization.algorithms import MinimumEigenOptimizer
from dwave.plugins.qiskit import DWaveMinimumEigensolver
from dwave.system import DWaveCliqueSampler, LeapHy... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from dwave.system import DWaveCliqueSampler, LeapHybridSampler
from helpers import *
qps = createModelsFromDir('BURKARDT_DATA/INT/')
for qp in qps.values():
print(qp.model.solve())
solvers = [createSolver(LeapHybridSampler()), createSolver(DWaveCliqueSampler(),1000)]
results = {}
for qp_name in qps.keys(... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from collections import OrderedDict
import time
import os
import logging
from qiskit.optimization.algorithms import CplexOptimizer
from qiskit.optimization.algorithms.optimization_algorithm import OptimizationResultStatus
from dwave.system import DWaveCliqueSampler, LeapHybridSampler
from random_lp.lp_rand... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from collections import OrderedDict
import time
import os
import logging
from qiskit.optimization.algorithms import CplexOptimizer
from qiskit.optimization.algorithms.optimization_algorithm import OptimizationResultStatus
from dwave.system import LeapHybridSampler
from random_lp.lp_random_gen import create... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time
from dwave.system import DWaveCliqueSampler, LeapHybridSampler
from qiskit.optimization.algorithms import CplexOptimizer
from random_lp.lp_random_gen import create_models
from utilities.helpers import create_dwave_meo
DIR = 'TEST_DATA' + "/" + "14_03_2021" + "/DENSE/"
# select linear program t... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time
from dwave.system import LeapHybridSampler
from qiskit.optimization.algorithms import CplexOptimizer
from random_lp.lp_random_gen import create_models
from utilities.helpers import create_dwave_meo
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y") + "/SPARSE/"
DIR
# select linear program ... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os
import shutil
import time
from random_lp.random_qp import RandomQP
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
DIR
shutil.rmtree(getPath(directory = "DENSE"), ignore_errors=True)
os.make... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os
import shutil
import time
from docplex.mp.error_handler import DOcplexException
from random_lp.random_qp import RandomQP
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
DIR
shutil.rmtree(g... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from collections import OrderedDict
import time
import os
import logging, warnings
from qiskit.optimization.algorithms import CplexOptimizer
from qiskit.optimization.algorithms.optimization_algorithm import OptimizationResultStatus
from dwave.system import DWaveCliqueSampler, LeapHybridSampler
from random_... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from collections import OrderedDict
import time
import os
import logging, warnings
from qiskit.optimization.algorithms import CplexOptimizer
from qiskit.optimization.algorithms.optimization_algorithm import OptimizationResultStatus
from dwave.system import LeapHybridSampler
from random_lp.lp_random_gen imp... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os
import shutil
import time
from random_lp.random_qp import RandomQP
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
DIR
shutil.rmtree(getPath(directory = "DENSE"), ignore_errors=True)
os.make... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os
import shutil
import time
from docplex.mp.error_handler import DOcplexException
from random_lp.random_qp import RandomQP
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
DIR
shutil.rmtree(g... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import numpy as np
from linear_solver_float import LinearSolverFloat
# set floating point accuracy
R = 4
# first example
M = np.array([[1/2,3/2],
[3/2,1/2]])
Y_1 = np.array([1,0])
Y_2 = np.array([0,1])
M_inv = np.linalg.inv(M)
M_inv.dot(Y_1), M_inv.dot(Y_2)
num_reads = 1000
lsf = L... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import numpy as np
from linear_solver_float import LinearSolverFloat
# set floating point accuracy
R = 3
# first example
M = np.array([[3,2],
[2,1]])
Y_1 = np.array([1,1])
Y_2 = np.array([-1/2,-1/2])
M_inv = np.linalg.inv(M)
M_inv.dot(Y_1), M_inv.dot(Y_2)
num_reads = 1000
lsf = Lin... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import numpy as np
from linear_solver_float import LinearSolverFloat
# set floating point accuracy
R = 5
M = np.array([[-4,6,1],
[8,-11,-2],
[-3,4,1]]) # Test 2(f)
Y = np.array([0.75,-1.25,0.25])
M_inv = np.linalg.inv(M)
M_inv.dot(Y)
num_reads = 1000
min_occurrence = ... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import dimod
import networkx as nx
import dwave_networkx as dnx
from dwave.embedding import pegasus
import neal, dwave.system
import numpy as np
A_int = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,5,2,3,1,1]])
m, n = A_int.shape
vartype = dimod.Vartype.BINARY
c_int = np.array([1,... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import dimod
import neal
import numpy as np
from dwave.system import DWaveSampler, EmbeddingComposite, DWaveCliqueSampler
A_int = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,5,2,3,1,1]])
m, n = A_int.shape
vartype = dimod.Vartype.BINARY
c_int = np.array([1,2,1,-3,1,-1])
b = np.arr... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import dimod
import neal
import numpy as np
from dwave.system import DWaveSampler, EmbeddingComposite, DWaveCliqueSampler
A_int = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,5,2,3,1,1],
[0,0,1,2,2,0]])
m, n = A_int.shape
vartype = dimod.Vartype.BINARY
c_int = np.arr... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from mip import Model, BINARY, xsum, OptimizationStatus # CONTINUOUS, INTEGER
import numpy as np
from itertools import permutations
A = np.array([[1,1,1,1,1],
[2,2,2,2,2],
[0,1,2,3,4],
[2,1,4,1,0],
[0,1,0,1,0]])
var_type = BINARY
max_gap = 0.05
max_se... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from mip import Model, INTEGER, xsum, OptimizationStatus, minimize
import numpy as np
from itertools import permutations
A = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,5,2,3,1,1]])
var_type = INTEGER
max_gap = 0.05
max_seconds=10
c = np.array([1,2,1,-3,1,-1])
m, n = A.shape
de... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from mip import Model, INTEGER, xsum, OptimizationStatus, minimize
import numpy as np
from itertools import permutations
A = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,5,2,3,1,1],
[0,0,1,2,2,0]])
var_type = INTEGER
max_gap = 0.05
max_seconds=10
c = np.array([-1,2,-2... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time, os, logging, warnings
from qiskit_optimization.algorithms import CplexOptimizer
warnings.filterwarnings("ignore", category=DeprecationWarning)
from qiskit.optimization.algorithms.optimization_algorithm import OptimizationResultStatus
from dwave.system import DWaveCliqueSampler
from utilities.helpers i... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time, os, logging, warnings
from qiskit_optimization.algorithms import CplexOptimizer
warnings.filterwarnings("ignore", category=DeprecationWarning)
from qiskit.optimization.algorithms.optimization_algorithm import OptimizationResultStatus
from utilities.helpers import create_dwave_meo, create_quadratic_prog... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time
from typing import Tuple
import dimod
from dwave.system import DWaveSampler, EmbeddingComposite, DWaveCliqueSampler
from qiskit_optimization import QuadraticProgram
from qiskit_optimization.algorithms import CplexOptimizer
from qiskit_optimization.converters import LinearEqualityToPenalty
from utilit... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time
from dwave.system import DWaveCliqueSampler
from qiskit_optimization.algorithms import CplexOptimizer
from utilities.helpers import create_dwave_meo, create_quadratic_programs_from_paths
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
DIR
# select linear programs to solve
qps = create_quadratic... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os, shutil, time
from random_qubo.random_qubo import RandomQubo
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
bounds = {"matrix_q_lb": -5, "matrix_q_ub": 5, "c_lb": -5, "c_ub": 5}
DIR
shutil.rmtree(... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit import IBMQ
from qiskit.algorithms import QAOA
from qiskit.algorithms.optimizers import COBYLA
from qiskit.test.mock import FakeMumbai
from qiskit.utils import QuantumInstance
from qiskit.providers.aer.noise import NoiseModel
from qiskit_optimization import QuadraticProgram
from qiskit_optimization.a... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit import IBMQ
import networkx as nx
from qiskit.providers.ibmq import least_busy
import matplotlib.pyplot as plt
IBMQ.load_account() # Load account from disk
IBMQ.providers() # List all available providers
provider = IBMQ.get_provider(hub='ibm-q')
provider.backends()
backends = provider.backe... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from numpy import pi
from qiskit import QuantumRegister, QuantumCircuit, execute, BasicAer
from qiskit.visualization import plot_histogram
qreg_q = QuantumRegister(3, 'q')
circuit = QuantumCircuit(qreg_q)
circuit.h(qreg_q[0])
circuit.cx(qreg_q[0], qreg_q[1])
circuit.cx(qreg_q[0], qreg_q[2])
circuit.measure_al... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
import numpy as np
from qiskit.circuit.random import random_circuit
from qiskit.circuit import Parameter
from qiskit import IBMQ
from qiskit.compiler import transpile
from qiskit.converters import circuit_to_dag
from qiskit.tools.visualization... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from collections import Counter
import io, pydot
from PIL import Image
import networkx as nx
import retworkx as rx
from qiskit.test.mock import FakeMumbai, FakeManhattan
from qiskit.providers.aer.noise import NoiseModel
mumbai = FakeMumbai()
conf = mumbai.configuration()
props = mumbai.properties()
noise... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit import IBMQ, execute
from qiskit.providers.ibmq.managed import IBMQJobManager
from qiskit.providers.ibmq.job import job_monitor
from qiskit.circuit.random import random_circuit
IBMQ.load_account()
provider = IBMQ.get_provider(hub='ibm-q')
backend = provider.get_backend('simulator_statevector')
# ... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import logging
from itertools import product
import networkx as nx
import matplotlib.pyplot as plt
from qiskit import IBMQ, QuantumCircuit, execute, transpile
from qiskit.test.mock import FakeMumbai as FakeDevice
from qiskit.providers.aer.noise import NoiseModel
from qiskit.visualization import plot_histogr... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import numpy as np
from qiskit import QuantumCircuit, Aer, execute
from qiskit.circuit.random import random_circuit
from qiskit.visualization import plot_state_qsphere
from qiskit.quantum_info.operators import Operator
def pretty_print(x):
with np.printoptions(precision=3, suppress=True):
print(x)
... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os
from qiskit import BasicAer
from qiskit.aqua import QuantumInstance, aqua_globals
from qiskit.aqua.algorithms import QAOA
from qiskit.aqua.components.optimizers import COBYLA
from qiskit.optimization.algorithms import MinimumEigenOptimizer, CplexOptimizer
from qiskit.optimization.algorithms.optimizati... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import warnings
import numpy as np
from numpy import pi
from qiskit import IBMQ, QuantumRegister, ClassicalRegister, QuantumCircuit, execute, transpile, BasicAer
from qiskit_optimization.algorithms import CplexOptimizer
from qiskit_optimization import QuadraticProgram
from qiskit.visualization import plot_hist... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import warnings
import numpy as np
from qiskit import IBMQ, execute, transpile, BasicAer
from qiskit_optimization.algorithms import CplexOptimizer
from qiskit_optimization import QuadraticProgram
from qiskit.visualization import plot_histogram
from qiskit.providers.ibmq.job import job_monitor
from utilities.he... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import warnings
import numpy as np
from numpy import pi
from matplotlib import MatplotlibDeprecationWarning
from qiskit import QuantumRegister, QuantumCircuit, execute, BasicAer
from qiskit_optimization import QuadraticProgram
from qiskit.visualization import plot_state_qsphere
from qiskit.quantum_info.operator... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import io
import numpy as np
from numpy import pi
import pydot
from PIL import Image
import retworkx as rx
from qiskit import IBMQ, QuantumRegister, ClassicalRegister, QuantumCircuit, transpile
def create_qaoa_circuit() -> QuantumCircuit:
""" taken from IBMQ Experience """
qreg_q = QuantumRegis... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import io
import numpy as np
from numpy import pi
import pydot
from PIL import Image
import retworkx as rx
from qiskit import IBMQ, QuantumRegister, ClassicalRegister, QuantumCircuit, transpile
from qiskit.test.mock import FakeManhattan
def create_qaoa_circuit() -> QuantumCircuit:
""" taken from IBM... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from collections import OrderedDict
import time
from qiskit import BasicAer
from qiskit.aqua import QuantumInstance, aqua_globals
from qiskit.aqua.algorithms import QAOA
from qiskit.aqua.components.optimizers import COBYLA
from qiskit.optimization.algorithms import MinimumEigenOptimizer, CplexOptimizer
from qi... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time
import numpy as np
from qiskit import BasicAer
from qiskit.aqua import QuantumInstance, aqua_globals
from qiskit.aqua.algorithms import QAOA
from qiskit.aqua.components.optimizers import COBYLA
from qiskit.optimization.algorithms import MinimumEigenOptimizer, CplexOptimizer
from qiskit.optimizatio... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os
import shutil
import time
from random_lp.lp_random_gen import RandomLP
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
DIR
shutil.rmtree(DIR, ignore_errors=True)
os.makedirs(getPath(director... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time
import numpy as np
from qiskit import BasicAer
from qiskit.aqua import QuantumInstance, aqua_globals
from qiskit.aqua.algorithms import QAOA
from qiskit.aqua.components.optimizers import COBYLA
from qiskit.optimization.algorithms import MinimumEigenOptimizer, CplexOptimizer
from qiskit.optimizatio... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from collections import OrderedDict
import time
import logging, warnings
from qiskit.optimization.algorithms import CplexOptimizer
from qiskit.optimization.algorithms.optimization_algorithm import OptimizationResultStatus
from random_lp.lp_random_gen import create_models
from utilities.helpers import create_q... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os, shutil, time
from random_qubo.random_qubo import RandomQubo
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
bounds = {"matrix_q_lb": -5, "matrix_q_ub": 5, "c_lb": -5, "c_ub": 5}
DIR
shutil.rmtree(... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time, os, logging, warnings
import numpy as np
from qiskit import IBMQ
from qiskit.test.mock import FakeMumbai
from qiskit.providers.aer import AerSimulator
from qiskit.providers.aer.noise import NoiseModel
from qiskit_optimization.algorithms import CplexOptimizer
from qiskit_optimization.algorithms.optim... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time, os, logging, warnings
import numpy as np
from qiskit import IBMQ
from qiskit.test.mock import FakeMumbai
from qiskit.providers.aer import AerSimulator
from qiskit.providers.aer.noise import NoiseModel
from qiskit_optimization.algorithms import CplexOptimizer
from qiskit_optimization.algorithms.optim... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time, warnings
import numpy as np
from qiskit import IBMQ
from qiskit.test.mock import FakeMumbai
from qiskit.providers.aer import AerSimulator
from qiskit.providers.aer.noise import NoiseModel
from qiskit_optimization.algorithms import CplexOptimizer
from utilities.helpers import create_qaoa_meo, create_... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os, shutil, time
from random_qubo.random_qubo import RandomQubo
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
bounds = {"matrix_q_lb": -5, "matrix_q_ub": 5, "c_lb": -5, "c_ub": 5}
DIR
shutil.rmtree(... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time, warnings
from typing import Tuple
warnings.simplefilter("ignore")
import numpy as np
from qiskit import IBMQ
from qiskit.test.mock import FakeMumbai
from qiskit.test.mock.fake_qasm_backend import FakeQasmBackend
from qiskit.providers.aer import AerSimulator
from qiskit.providers.aer.noise import ... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os, shutil, time
from random_qubo.random_qubo import RandomQubo
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
bounds = {"matrix_q_lb": -5, "matrix_q_ub": 5, "c_lb": -5, "c_ub": 5}
DIR
shutil.rmtree(... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit import *
from qiskit.providers.ibmq import least_busy
import numpy as np
from error_matrix import Minv, diags
from circuits import get_bin
def fix_to_full_hist(hist, ORACLE_SIZE=5):
for i in range(2**(ORACLE_SIZE-1)):
b_str = get_bin(i,ORACLE_SIZE-1)
# print(b_str)
if b_str not ... |
https://github.com/BoxiLi/qiskit-CR-calibration | BoxiLi | import logging
from copy import deepcopy
import numpy as np
from numpy import pi
from qiskit.circuit import Gate
from qiskit import transpile
from qiskit.transpiler import InstructionProperties
from qiskit_utilities import (
save_job_data,
setup_logger,
retrieve_expdata,
get_cr_schedule,
... |
https://github.com/BoxiLi/qiskit-CR-calibration | BoxiLi | import logging
from copy import deepcopy
import numpy as np
from numpy import pi
from qiskit.circuit import Gate
from qiskit import transpile
from qiskit.transpiler import InstructionProperties
from qiskit_utilities import (
save_job_data,
setup_logger,
retrieve_expdata,
get_cr_schedule,
... |
https://github.com/BoxiLi/qiskit-CR-calibration | BoxiLi | import logging
from copy import deepcopy
import warnings
import numpy as np
from numpy import pi
import matplotlib.pyplot as plt
from qiskit.circuit import Gate
from qiskit import transpile
from qiskit.transpiler import InstructionProperties
from qiskit_utilities import (
save_job_data,
setup_logger,... |
https://github.com/BoxiLi/qiskit-CR-calibration | BoxiLi | """
Generation of echoed and direct CNOT gate based on calibrated CR pulse data.
"""
from copy import deepcopy
import numpy as np
from numpy import pi
from scipy.signal import find_peaks
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import qiskit
from qiskit import pulse, circuit,... |
https://github.com/BoxiLi/qiskit-CR-calibration | BoxiLi | """
Generation and calibration of CR pulse.
"""
import os
import warnings
import multiprocessing as mpl
from multiprocessing import Pool
from functools import partial
from copy import deepcopy
import numpy as np
from numpy import pi
try:
import jax
import jax.numpy as jnp
except:
warnin... |
https://github.com/BoxiLi/qiskit-CR-calibration | BoxiLi | import sys
import os
current_dir = os.getcwd()
sys.path.append(current_dir)
from quantum_circuit import QuantumCircuit
# import qiskit.providers.fake_provider
from qiskit.transpiler import CouplingMap
import qiskit_ibm_runtime.fake_provider
from Backend.backend import Backend
class FakeBackend(Backend):
... |
https://github.com/devilkiller-ag/UnravelQuantum | devilkiller-ag | # ########## Import Initialization ############
from qiskit import QuantumCircuit, transpile
from qiskit_aer import AerSimulator
from qiskit.providers.basic_provider import BasicProvider
from qiskit.visualization import plot_histogram, circuit_drawer
from qiskit_ibm_provider.job import job_monitor
from qiskit_ibm... |
https://github.com/devilkiller-ag/UnravelQuantum | devilkiller-ag | # ########## Import Initialization ############
from qiskit import QuantumCircuit, transpile
from qiskit.providers.basic_provider import BasicProvider
from qiskit_aer import AerSimulator
from qiskit.visualization import plot_histogram, circuit_drawer
from qiskit_ibm_provider.job import job_monitor
from qiskit_ibm... |
https://github.com/RQC-QApp/Seminars | RQC-QApp | import numpy as np
import matplotlib.pyplot as plt
outcome_0 = np.array([1.0, 0.0])
outcome_1 = np.array([0.0, 1.0])
a = 0.75
b = 0.25
assert a + b == 1
prob_bit = a * outcome_0 + b * outcome_1
X, Y = prob_bit
plt.figure(figsize=(5,5))
plt.plot([a, 0], [b, b], '--', color='orange')
plt.plot([a, a],... |
https://github.com/RQC-QApp/Seminars | RQC-QApp | # Подключаем необходимые методы/классы/etc.
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute
# Указываем необходимое число квантовых регистров (кубитов)
# и классических регистров.
#
# В обоих случаях указано 2. Помимо количества им присваиваются идентификаторы
... |
https://github.com/RQC-QApp/Seminars | RQC-QApp | from pyquil.quil import Program
from pyquil.gates import H, CNOT
from pyquil.api import QVMConnection
# Создаём объект для квантовой программы.
p = Program()
# "Мутирование" квантовой программы под действием оператора `H(0)` - гейт Адамара, который
# действует на нулевой кубит.
p.inst(H(0))
# Добавление CNO... |
https://github.com/CodeJP97/QHT-2022-WoQ | CodeJP97 | import networkx as nx
from qiskit import QuantumCircuit, Aer
from qiskit.circuit import Parameter
import numpy as np
import matplotlib.pyplot as plt
from IPython.display import Image
Image('./max_cut1.png')
Image('./max_cut2.png')
Image('./mac_cut3.png')
G = nx.Graph()
G.add_nodes_from([0, 1, 2, 3])
... |
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