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https://github.com/martynscn/Masters-Thesis-on-Quantum-Cryptography | martynscn | # This code has been adapted and modified from IBM Qiskit 2021 and also from https://github.com/ttlion/ShorAlgQiskit.
# It uses the implementation as contained in the work of Stephane Beauregard (https://arxiv.org/abs/quant-ph/0205095)
# Many thanks to IBM Qiskit team, Tiago Miguel (ttlion), Qubit by Qubit, Peter Sho... |
https://github.com/martynscn/Masters-Thesis-on-Quantum-Cryptography | martynscn | # This code has been adapted and modified from IBM Qiskit 2021 and also from https://github.com/ttlion/ShorAlgQiskit.
# It uses the implementation as contained in the work of Stephane Beauregard (https://arxiv.org/abs/quant-ph/0205095)
# Many thanks to IBM Qiskit team, Tiago Miguel (ttlion), Qubit by Qubit, Peter Sho... |
https://github.com/AnkRaw/Quantum-Convolutional-Neural-Network | AnkRaw | # Importing Libraries
import torch
from torch import cat, no_grad, manual_seed
from torch.utils.data import DataLoader
from torchvision import transforms
import torch.optim as optim
from torch.nn import (
Module,
Conv2d,
Linear,
Dropout2d,
NLLLoss
)
import torch.nn.functional as F
impo... |
https://github.com/EusseJhoan/DeutschJosza_algorithm | EusseJhoan | from qiskit import QuantumCircuit, transpile, Aer
from qiskit.visualization import plot_histogram
import numpy as np
sim = Aer.get_backend('aer_simulator')
def U_f1(qc):
return qc
def U_f2(qc):
qc.x(1) #Compuerta X al segundo qubit
return qc
def U_f3(qc):
qc.cx(0,... |
https://github.com/strangequarkkk/BB84-Protocol-for-QKD | strangequarkkk | import matplotlib as mpl
import numpy as np
import matplotlib.pyplot as plt
from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualization import plot_histogram, plot_bloch_multivector
qc = QuantumCircuit(1,1)
# Alice prepares qubit in state |+>
qc.h(0)
qc.barrier()
# Alice now sends t... |
https://github.com/luis6156/Shor-s-Quantum-Algorithm | luis6156 | from qiskit import QuantumCircuit, Aer, execute, IBMQ
from qiskit.utils import QuantumInstance
import numpy as np
from qiskit.algorithms import Shor
IBMQ.enable_account('ENTER API TOKEN HERE') # Enter your API token here
provider = IBMQ.get_provider(hub='ibm-q')
backend = Aer.get_backend('qasm_simulator')
qu... |
https://github.com/hugoecarl/TSP-Problem-Study | hugoecarl | with open('in-exemplo.txt', 'r') as f:
print(f.read())
with open('out-exemplo.txt', 'r') as f:
print(f.read())
import time
import matplotlib.pyplot as plt
import pandas as pd
import os
import subprocess
%matplotlib inline
#Roda entradas
def roda_com_entrada(executavel, arquivo_in, envs = '1', d... |
https://github.com/hugoecarl/TSP-Problem-Study | hugoecarl | with open('in-exemplo.txt', 'r') as f:
print(f.read())
with open('out-exemplo.txt', 'r') as f:
print(f.read())
import time
import matplotlib.pyplot as plt
import pandas as pd
import os
import subprocess
%matplotlib inline
#Roda entradas
def roda_com_entrada(executavel, arquivo_in, envs = '1', d... |
https://github.com/hugoecarl/TSP-Problem-Study | hugoecarl | import math
import matplotlib.pyplot as plt
%matplotlib inline
class TSP:
def __init__(self):
self.flat_mat = flat_mat
self.n = 0
self.melhor_dist = 1e11
self.pontos = []
self.melhores_pontos = []
def busca_exaustiva(self, flat_mat, n, ite):
... |
https://github.com/hugoecarl/TSP-Problem-Study | hugoecarl | import math
import matplotlib.pyplot as plt
%matplotlib inline
class TSP:
def __init__(self):
self.flat_mat = flat_mat
self.n = 0
self.melhor_dist = 1e11
self.pontos = []
self.melhores_pontos = []
def busca_exaustiva(self, flat_mat, n, ite):
... |
https://github.com/LeanderThiessen/antisymmetrization-circuit | LeanderThiessen | #General Imports
import numpy as np
import matplotlib.pyplot as plt
import time
from itertools import product,permutations
from string import ascii_lowercase as asc
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
#Qiskit Imports
from qiskit import QuantumCircuit, QuantumRegist... |
https://github.com/Bikramaditya0154/Quantum-Simulation-of-the-ground-states-of-Li-and-Li-2-using-Variational-Quantum-EIgensolver | Bikramaditya0154 | from qiskit import Aer
from qiskit_nature.drivers import UnitsType, Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureDriverType,
ElectronicStructureMoleculeDriver,
)
from qiskit_nature.problems.second_quantization import ElectronicStructureProblem
from qiskit_nature.con... |
https://github.com/Bikramaditya0154/Quantum-Simulation-of-the-ground-states-of-Li-and-Li-2-using-Variational-Quantum-EIgensolver | Bikramaditya0154 | from qiskit import Aer
from qiskit_nature.drivers import UnitsType, Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureDriverType,
ElectronicStructureMoleculeDriver,
)
from qiskit_nature.problems.second_quantization import ElectronicStructureProblem
from qiskit_nature.con... |
https://github.com/hamburgerguy/Quantum-Algorithm-Implementations | hamburgerguy | """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/hamburgerguy/Quantum-Algorithm-Implementations | hamburgerguy | """The following is python code utilizing the qiskit library that can be run on extant quantum
hardware using 5 qubits for factoring the integer 15 into 3 and 5. Using period finding,
for a^r mod N = 1, where a = 11 and N = 15 (the integer to be factored) the problem is to find
r values for this identity such that... |
https://github.com/hamburgerguy/Quantum-Algorithm-Implementations | hamburgerguy | """Qiskit code for running Simon's algorithm on quantum hardware for 2 qubits and b = '11' """
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, execute
# import basic plot tools
from qiskit.visualization import plot_histogram
... |
https://github.com/hamburgerguy/Quantum-Algorithm-Implementations | hamburgerguy | """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/hamburgerguy/Quantum-Algorithm-Implementations | hamburgerguy | """The following is python code utilizing the qiskit library that can be run on extant quantum
hardware using 5 qubits for factoring the integer 15 into 3 and 5. Using period finding,
for a^r mod N = 1, where a = 11 and N = 15 (the integer to be factored) the problem is to find
r values for this identity such that... |
https://github.com/hamburgerguy/Quantum-Algorithm-Implementations | hamburgerguy | """Qiskit code for running Simon's algorithm on quantum hardware for 2 qubits and b = '11' """
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, execute
# import basic plot tools
from qiskit.visualization import plot_histogram
... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | from tsp_qaoa import test_solution
from qiskit.visualization import plot_histogram
import networkx as nx
import numpy as np
import json
import csv
# Array of JSON Objects
header = ['instance', 'iteration', 'distance']
length_instances = 40
with open('qaoa_multiple_distance.csv', 'w', encoding='UTF8') as f:... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | from tsp_qaoa import test_solution
from qiskit.visualization import plot_histogram
import networkx as nx
import numpy as np
import json
import csv
# Array of JSON Objects
header = ['p', 'state', 'probability', 'mean']
length_p = 10
with open('qaoa_multiple_p.csv', 'w', encoding='UTF8') as f:
writer = ... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa |
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/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | from tsp_qaoa import test_solution
from qiskit.visualization import plot_histogram
import networkx as nx
import numpy as np
import json
import csv
# Array of JSON Objects
header = ['instance','p','distance', 'mean']
length_p = 3
length_instances = 2
with open('qaoa_multiple_p_distance.csv', 'w', encodin... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | from tsp_qaoa import test_solution
from qiskit.visualization import plot_histogram
import networkx as nx
import numpy as np
job_2, G, UNIFORM_CONVERGENCE_SAMPLE = test_solution()
plot_histogram(job_2.result().get_counts(), color='midnightblue', title="New Histogram", figsize=(30, 5))
plot_histogram(job... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa |
from thirdParty.classical import rand_graph, classical, bitstring_to_path, calc_cost
from utils import mapeo_grafo
import qiskit
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
from collections import defaultdict
from operator import itemgetter
from scipy.optimize import minimize
f... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa |
import json
import csv
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
... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | import qiskit
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
from collections import defaultdict
from operator import itemgetter
from scipy.optimize import minimize
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer
from qiskit.aqua.algorithms import Nu... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | from tsp_qaoa import test_solution
from qiskit.visualization import plot_histogram
import networkx as nx
import numpy as np
import json
import csv
# Array of JSON Objects
# Sort the JSON data based on the value of the brand key
UNIFORM_CONVERGENCE_SAMPLE.sort(key=lambda x: x["mean"])
# genera las d... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | from tsp_qaoa import test_solution
from qiskit.visualization import plot_histogram
import networkx as nx
import numpy as np
import json
import csv
# Array of JSON Objects
header = ['p', 'state', 'probability', 'mean']
length_p = 10
with open('qaoa_multiple_p.csv', 'w', encoding='UTF8') as f:
writer = ... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | from tsp_qaoa import test_solution
from qiskit.visualization import plot_histogram
import networkx as nx
import numpy as np
import json
import csv
# Array of JSON Objects
header = ['instance','p','distance', 'mean']
length_p = 3
length_instances = 2
with open('qaoa_multiple_p_distance.csv', 'w', encodin... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | from tsp_qaoa import test_solution
from qiskit.visualization import plot_histogram
import networkx as nx
import numpy as np
job_2, G, UNIFORM_CONVERGENCE_SAMPLE = test_solution()
plot_histogram(job_2.result().get_counts(), color='midnightblue', title="New Histogram", figsize=(30, 5))
plot_histogram(job... |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | import qiskit
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
from collections import defaultdict
from operator import itemgetter
from scipy.optimize import minimize
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer
from qiskit.aqua.algorithms import Nu... |
https://github.com/jaykomarraju/Quantum-Optimization-for-Solar-Farm | jaykomarraju | import numpy as np
import networkx as nx
from qiskit import Aer
from qiskit.algorithms import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.utils import QuantumInstance
from qiskit_optimization import QuadraticProgram
from qiskit_optimization.algorithms import MinimumE... |
https://github.com/jaykomarraju/Quantum-Optimization-for-Solar-Farm | jaykomarraju | import numpy as np
import networkx as nx
from qiskit import Aer
from qiskit.algorithms import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.utils import QuantumInstance
from qiskit_optimization import QuadraticProgram
from qiskit_optimization.algorithms import MinimumE... |
https://github.com/ACDuriez/Ising-VQE | ACDuriez | import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
from tqdm import tqdm
from scipy.optimize import minimize
from dataclasses import dataclass
from qiskit.providers.fake_provider import FakeManila,FakeQuito,FakeLima,FakeKolkata,FakeNairobi
from qiskit.transpiler import CouplingMap
from... |
https://github.com/unif2/Quantum-Computing-Mentorship-Task-4-Code | unif2 | import numpy as np
from numpy import kron
import qiskit as qk
def decomposition(H):
"""Decompose any 4x4 Hermitian matrix into a sum of tensor products of two Pauli matrices
"""
identity = np.array([[1, 0],[ 0, 1]], dtype=np.complex128)
x = np.array([[0, 1], [ 1, 0]], dtype=np.complex128)
... |
https://github.com/khaledalam/QuantumComputingAndPrimesAndOthers | khaledalam | # Author: Khaled Alam(khaledalam.net@gmail.com)
'''
Guess binary string (secret) of length N in 1 shot only using quantum computing circuit!
~ by using clasical computers we need at least N shots to guess string (secret) of length N
~ by using quantum computer we need 1 shot to guess string (secre... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
secret_number = '101001'
# here work is happen like buttom to up
for position,value in enumerate(reversed(secret_number)):
if value == '1':
print(position, value... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
from ibm_quantum_widgets import draw_circuit
# initialize two qubits in the zero state and
# two classical bits in the zero state in the quantum circuit
circuit = QuantumCir... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
from ibm_quantum_widgets import draw_circuit
circuit = QuantumCircuit(2,2)
circuit
circuit.draw(output='mpl')
circuit.x(0)
circuit.draw(output='mpl')
circuit.h(0)
... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | from qiskit import *
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
circuit = QuantumCircuit(qr, cr)
%matplotlib inline
circuit.draw(output='mpl')
circuit.h(qr[0])
circuit.draw(output = 'mpl')
circuit.cx(qr[0], qr[1])
circuit.draw(output='mpl')
circuit.measure(qr, cr)
circuit.draw(ou... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | # Quantum Computation
import qiskit
print(qiskit.__version__)
import qiskit.quantum_info as qi
from qiskit.circuit.library import FourierChecking
from qiskit.visualization import plot_histogram
f = [1, -1, -1, -1]
g = [1, 1, -1, -1]
# How co-related fourier transform of function g to function f.
# we ... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | from qiskit import *
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
circuit = QuantumCircuit(qr, cr)
%matplotlib inline
circuit.draw()
circuit.h(qr[0])
circuit.draw(output = 'mpl')
circuit.cx(qr[0], qr[1])
circuit.draw(output='mpl')
circuit.measure(qr, cr)
circuit.draw(output='mpl')
... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | from qiskit import *
from qiskit.tools.visualization import plot_bloch_multivector
circuit = QuantumCircuit(1,1)
circuit.x(0)
simulator = Aer.get_backend('statevector_simulator')
result = execute(circuit, backend=simulator).result()
statevector = result.get_statevector()
print(statevector)
%matplotlib inlin... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
from qiskit.providers.aer import QasmSimulator
# use Aer's qasm_simulator
simulator = QasmSimulator()
# create quantum circute acting on the q register
circuit = QuantumCirc... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
circuit = QuantumCircuit(3,3)
circuit
# qiskit.__dir__()
circuit.draw(output='mpl')
circuit.x(0)
circuit.barrier()
circuit.draw(output='mpl')
circuit.h(1)
circuit.... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
# import matplotlib.pyplot as plt
%matplotlib inline
print(qiskit.__version__)
circuit = QuantumCircuit(2,2)
circuit.h(0)
circuit.cx(0,1)
circuit.measure([0,1],[0,1])
# circuit.measure_all()
circuit.barrier()
# circuit.draw(output='mpl')
circuit.draw(output='mpl')
s... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
def find_secret_number(secter_number):
# Using Bernstein Vazirani Algorithm
secret_number = str(secter_number)
circuit = QuantumCircuit(len(secret_number)+1, ... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
print(qiskit.__version__)
from qiskit.aqua.algorithms import Shor
from qiskit.aqua import QuantumInstance
import numpy as np
from qiskit import QuantumCircuit, Aer, execute
from qiskit.tools.visualization import plot_histogram
backend = Aer.get_backend('qasm_simulator')
quantum_instance = Quan... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
print(qiskit.__version__)
from qiskit_machine_learning.datasets import ad_hoc_data
adhoc_dimension = 2
train_features, train_labels, test_features, test_labels, adhoc_total = ad_hoc_data(training_size = 20, test_size = 5,
... |
https://github.com/martynscn/Masters-Thesis-on-Quantum-Cryptography | martynscn | # This code has been adapted and modified from IBM Qiskit 2021 and
# uses the constant optimized modular exponentiation circuit for mod 15 as contained
# in https://arxiv.org/abs/1202.6614.
import numpy as np
import math
from decimal import *
import matplotlib.pyplot as plt
from qiskit import QuantumCircuit... |
https://github.com/martynscn/Masters-Thesis-on-Quantum-Cryptography | martynscn | # This code has been adapted and modified from IBM Qiskit 2021 and also from https://github.com/ttlion/ShorAlgQiskit.
# It uses the implementation as contained in the work of Stephane Beauregard (https://arxiv.org/abs/quant-ph/0205095)
# Many thanks to IBM Qiskit team, Tiago Miguel (ttlion), Qubit by Qubit, Peter Sho... |
https://github.com/martynscn/Masters-Thesis-on-Quantum-Cryptography | martynscn | # This code has been adapted and modified from IBM Qiskit 2021 and also from https://github.com/ttlion/ShorAlgQiskit.
# It uses the implementation as contained in the work of Stephane Beauregard (https://arxiv.org/abs/quant-ph/0205095)
# Many thanks to IBM Qiskit team, Tiago Miguel (ttlion), Qubit by Qubit, Peter Sho... |
https://github.com/AnkRaw/Quantum-Convolutional-Neural-Network | AnkRaw | # Importing Libraries
import torch
from torch import cat, no_grad, manual_seed
from torch.utils.data import DataLoader
from torchvision import transforms
import torch.optim as optim
from torch.nn import (
Module,
Conv2d,
Linear,
Dropout2d,
NLLLoss
)
import torch.nn.functional as F
impo... |
https://github.com/EusseJhoan/DeutschJosza_algorithm | EusseJhoan | from qiskit import QuantumCircuit, transpile, Aer
from qiskit.visualization import plot_histogram
import numpy as np
sim = Aer.get_backend('aer_simulator')
def U_f1(qc):
return qc
def U_f2(qc):
qc.x(1) #Compuerta X al segundo qubit
return qc
def U_f3(qc):
qc.cx(0,... |
https://github.com/strangequarkkk/BB84-Protocol-for-QKD | strangequarkkk | import matplotlib as mpl
import numpy as np
import matplotlib.pyplot as plt
from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualization import plot_histogram, plot_bloch_multivector
qc = QuantumCircuit(1,1)
# Alice prepares qubit in state |+>
qc.h(0)
qc.barrier()
# Alice now sends t... |
https://github.com/luis6156/Shor-s-Quantum-Algorithm | luis6156 | from qiskit import QuantumCircuit, Aer, execute, IBMQ
from qiskit.utils import QuantumInstance
import numpy as np
from qiskit.algorithms import Shor
IBMQ.enable_account('ENTER API TOKEN HERE') # Enter your API token here
provider = IBMQ.get_provider(hub='ibm-q')
backend = Aer.get_backend('qasm_simulator')
qu... |
https://github.com/hugoecarl/TSP-Problem-Study | hugoecarl | with open('in-exemplo.txt', 'r') as f:
print(f.read())
with open('out-exemplo.txt', 'r') as f:
print(f.read())
import time
import matplotlib.pyplot as plt
import pandas as pd
import os
import subprocess
%matplotlib inline
#Roda entradas
def roda_com_entrada(executavel, arquivo_in, envs = '1', d... |
https://github.com/hugoecarl/TSP-Problem-Study | hugoecarl | with open('in-exemplo.txt', 'r') as f:
print(f.read())
with open('out-exemplo.txt', 'r') as f:
print(f.read())
import time
import matplotlib.pyplot as plt
import pandas as pd
import os
import subprocess
%matplotlib inline
#Roda entradas
def roda_com_entrada(executavel, arquivo_in, envs = '1', d... |
https://github.com/hugoecarl/TSP-Problem-Study | hugoecarl | import math
import matplotlib.pyplot as plt
%matplotlib inline
class TSP:
def __init__(self):
self.flat_mat = flat_mat
self.n = 0
self.melhor_dist = 1e11
self.pontos = []
self.melhores_pontos = []
def busca_exaustiva(self, flat_mat, n, ite):
... |
https://github.com/hugoecarl/TSP-Problem-Study | hugoecarl | import math
import matplotlib.pyplot as plt
%matplotlib inline
class TSP:
def __init__(self):
self.flat_mat = flat_mat
self.n = 0
self.melhor_dist = 1e11
self.pontos = []
self.melhores_pontos = []
def busca_exaustiva(self, flat_mat, n, ite):
... |
https://github.com/LeanderThiessen/antisymmetrization-circuit | LeanderThiessen | #General Imports
import numpy as np
import matplotlib.pyplot as plt
import time
from itertools import product,permutations
from string import ascii_lowercase as asc
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
#Qiskit Imports
from qiskit import QuantumCircuit, QuantumRegist... |
https://github.com/Bikramaditya0154/Quantum-Simulation-of-the-ground-states-of-Li-and-Li-2-using-Variational-Quantum-EIgensolver | Bikramaditya0154 | from qiskit import Aer
from qiskit_nature.drivers import UnitsType, Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureDriverType,
ElectronicStructureMoleculeDriver,
)
from qiskit_nature.problems.second_quantization import ElectronicStructureProblem
from qiskit_nature.con... |
https://github.com/Bikramaditya0154/Quantum-Simulation-of-the-ground-states-of-Li-and-Li-2-using-Variational-Quantum-EIgensolver | Bikramaditya0154 | from qiskit import Aer
from qiskit_nature.drivers import UnitsType, Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureDriverType,
ElectronicStructureMoleculeDriver,
)
from qiskit_nature.problems.second_quantization import ElectronicStructureProblem
from qiskit_nature.con... |
https://github.com/Bikramaditya0154/Quantum-Simulation-of-the-ground-state-of-LiH-molecule-using-Variational-Quantum-Eigensolver | Bikramaditya0154 | from qiskit.algorithms import VQE
from qiskit_nature.algorithms import (GroundStateEigensolver,
NumPyMinimumEigensolverFactory)
from qiskit_nature.drivers import Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureMoleculeDriver, ElectronicS... |
https://github.com/MariosTsatsos/4qubitGrover | MariosTsatsos | #initialization
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format = 'svg' # Makes the images look nice
import numpy as np
# importing Qiskit
from qiskit import IBMQ, BasicAer, Aer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, ClassicalRegi... |
https://github.com/Bikramaditya0154/Quantum-Simulation-of-the-ground-state-of-Hydrogen-molecule-using-Variational-Quantum-Eigensolver- | Bikramaditya0154 | from qiskit.algorithms import VQE
from qiskit_nature.algorithms import (GroundStateEigensolver,
NumPyMinimumEigensolverFactory)
from qiskit_nature.drivers import Molecule
from qiskit_nature.drivers.second_quantization import (
ElectronicStructureMoleculeDriver, ElectronicS... |
https://github.com/AkshayPatil347/Grover-s-Code | AkshayPatil347 | from qiskit import QuantumCircuit, Aer, execute
from qiskit.visualization import plot_histogram
from numpy import random
color_codes = [0,1,2,3,4,5,6,7]
random.shuffle(color_codes)
database = {}
for i in range(8):
database[i] = color_codes[i]
desired_color_code = 2
DB = QuantumCircuit(7)
def D... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
from qiskit import QuantumCircuit
# creating a quantum circuit
qc = QuantumCircuit(3)
qc.z(0)
qc.s(1)
qc.t(2)
qc.cx(0,1)
qc.h(2)
qc.ccx(0, 1, 2)
qc.draw()
# inverse of the quantum circuit
inverse_qc = qc.inverse()
# to draw the quantum circuit
inverse_qc.draw()
# I... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit.quantum_info as qi
from qiskit.circuit.library import FourierChecking
from qiskit.visualization import plot_histogram
f = [1, -1, -1, -1]
g = [1, 1, -1, -1]
# FourierChecking() : How our Fourier Transform of F is correlated with G.
# if p(f,g) <= 0.01
# p(f, g) > 0.05 Fourier Exits between f and ... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import *
from qiskit.visualization import plot_histogram
import numpy as np
def NOT(inp):
"""An NOT gate.
Parameters:
inp (str): Input, encoded in qubit 0.
Returns:
QuantumCircuit: Output NOT circuit.
str: Output value measured from qubit 0.
... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import QuantumCircuit
# Creating a quantum circuit with the 2 qubit and 2 bits to store
# the measurements of the qubits
3
qc = QuantumCircuit(2, 2)
# draw the quantum circuit
qc.draw()
# Measuring the qubits states and storing it into the classical bits
qc.measure([0,1], [0,1])
qc.draw() |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | my_list = [1,2,3 ,4,5, 6,8,8,3,23,7,75,54,3]
def my_oracle(my_input):
winner=7
if my_input is winner:
response = True
else:
response = False
return response
for index, trial_number in enumerate(my_list):
if my_oracle(trial_number) is True:
print('Winner fo... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, Aer, execute
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from qiskit.providers.aer import QasmSimulator
backend = Aer.get_backend('statevector_simulator')
qc1 = QuantumCircuit(4)... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import *
import numpy as np
from numpy import linalg as la
from qiskit.tools.monitor import job_monitor
import qiskit.tools.jupyter
qc = QuantumCircuit(1)
#### your code goes here
# z measurement of qubit 0
measure_z = QuantumCircuit(1,1)
measure_z.measure(0,0)
# x measurement of qubit 0
... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | # Importing standard Qiskit libraries
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit import Aer, assemble
from qiskit.visualization import plot_histogram, plot_bloch_multivector, plot_state_qsphere, plot_state_city, plot_state_paulivec, plot_state_hinton
# Ignore warnings
impor... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import QuantumCircuit, QuantumRegister
from qiskit.quantum_info import SparsePauliOp
def heisenberg_hamiltonian(
length: int, jx: float = 1.0, jy: float = 0.0, jz: float = 0.0
) -> SparsePauliOp:
terms = []
for i in range(length - 1):
if jx:
terms.append(("XX", [i... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit.quantum_info as qi
from qiskit.circuit.library import FourierChecking
from qiskit.visualization import plot_histogram
f = [1, -1, -1, -1]
g = [1, 1, -1, -1]
# FourierChecking() : How our Fourier Transform of F is correlated with G.
# if p(f,g) <= 0.01
# p(f, g) > 0.05 Fourier Exits between f and ... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | my_list = [1,2,3 ,4,5, 6,8,8,3,23,7,75,54,3]
def my_oracle(my_input):
winner=7
if my_input is winner:
response = True
else:
response = False
return response
for index, trial_number in enumerate(my_list):
if my_oracle(trial_number) is True:
print('Winner fo... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit.aqua.operators import WeightedPauliOperator
pauli_dict = {
'paulis': [{"coeff": {"imag": 0.0, "real": -1.052373245772859}, "label": "II"},
{"coeff": {"imag": 0.0, "real": 0.39793742484318045}, "label": "ZI"},
{"coeff": {"imag": 0.0, "real": -0.39793742484318045}, "label... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
qiskit.__qiskit_version__
#initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.compiler import transpile
from qiski... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
qiskit.__qiskit_version__
# useful additional packages
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
# importing Qiskit
from qiskit import BasicAer, IBMQ
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.compiler import transpi... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import numpy as np
from qiskit import BasicAer
from qiskit.transpiler import PassManager
from qiskit.aqua import QuantumInstance
from qiskit.aqua.operators import MatrixOperator, op_converter
from qiskit.aqua.algorithms import EOH
from qiskit.aqua.components.initial_states import Custom
num_qubits = 2
temp = ... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import numpy as np
from scipy.linalg import expm
from qiskit import BasicAer
from qiskit import execute as q_execute
from qiskit import QuantumCircuit, QuantumRegister
from qiskit.quantum_info import state_fidelity
from qiskit.aqua.operators import MatrixOperator, op_converter
from qiskit.aqua.components.initial... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import BasicAer
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import Shor
N = 15
shor = Shor(N)
backend = BasicAer.get_backend('qasm_simulator')
quantum_instance = QuantumInstance(backend, shots=1024)
ret = shor.run(quantum_instance)
print("The list of factors of {} as comput... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import numpy as np
from qiskit import BasicAer
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import Simon
from qiskit.aqua.components.oracles import TruthTableOracle
bitmaps = [
'01101001',
'10011001',
'01100110'
]
oracle = TruthTableOracle(bitmaps)
def compute_mask(in... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import numpy as np
import pylab
from qiskit import Aer, IBMQ
from qiskit.aqua import QuantumInstance, aqua_globals
from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver
from qiskit.aqua.components.optimizers import SPSA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import Wei... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import numpy as np
from qiskit import BasicAer
from qiskit.transpiler import PassManager
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver, IQPE
from qiskit.aqua.operators import WeightedPauliOperator
from qiskit.circuit.library import TwoLocal
from qiskit.aq... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import numpy as np
import pylab
from qiskit import BasicAer
from qiskit.aqua.operators import WeightedPauliOperator
from qiskit.aqua import QuantumInstance, aqua_globals
from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver
from qiskit.aqua.components.initial_states import Zero
from qiskit.aqua.compo... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
qiskit.__qiskit_version__
#initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.compiler import transpile
from qiski... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
qiskit.__qiskit_version__
# useful additional packages
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
# importing Qiskit
from qiskit import BasicAer, IBMQ
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.compiler import transpi... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
qiskit.__qiskit_version__
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
# importing Qiskit
from qiskit import BasicAer, IBMQ
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.compiler import transpile
from qiskit.tools.visualiza... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
qiskit.__qiskit_version__
from math import pi
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
%matplotlib inline
# importing Qiskit
from qiskit import BasicAer, IBMQ
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute
from q... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from IPython.display import YouTubeVideo
YouTubeVideo('BYKc2RnQMqo', width=858, height=540)
!pip install qiskit --quiet
!pip install qiskit-aer --quiet
!pip install pylatexenc --quiet
# @markdown ### **1. Import `Qiskit` and essential packages** { display-mode: "form" }
from qiskit import QuantumCircuit, tran... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
qiskit.__qiskit_version__
#initialization
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
# importing Qiskit
from qiskit import BasicAer, IBMQ
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.compiler import transpile
from qiski... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import math
b_max = math.pi / 5 # upper limit of integral
nbit = 3 # change this value to get discretized result closer to analytical results
analyticResult = (b_max / 2.0 - math.sin(2 * b_max) / 4.0 ) / b_max # the target integral can be analytically solved
print("Analytical Result:", analyticResult)
ndi... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import *
from qiskit.circuit.library import *
from qiskit.providers.aer import *
sim = AerSimulator(method='statevector', device='GPU')
qubits = 15
depth=10
shots = 10
circuit = QuantumVolume(qubits, depth, seed=0)
circuit.measure_all()
result = execute(circuit,sim,shots=shots,seed_simulator=... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import *
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
from qiskit.tools.monitor import job_monitor
# create qubit using quantum registers
qr = QuantumRegister(2)
# create classical register to take measurement of `qr`
cr = ClassicalRegister(2)
# build a circuit
q... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import *
from qiskit.tools.visualization import plot_bloch_multivector, plot_histogram
qc = QuantumCircuit(1, 1)
qc.x(0)
qc.draw(output='mpl')
simulator = Aer.get_backend('statevector_simulator')
result = execute(qc, backend=simulator).result()
statevector = result.get_statevector()
print(st... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import *
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
qc = QuantumCircuit(3, 3)
qc.draw(output='mpl')
# we will teleport the state q_0 to q_2 with using q_1
qc.x(0)
qc.barrier()
qc.draw(output='mpl')
# barrier decide that after barrier q_0 has state |1> than of |... |
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