repo stringclasses 885
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https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
qc = QuantumCircuit(12)
for idx in range(5):
qc.h(idx)
qc.cx(idx, idx+5)
qc.cx(1, 7)
qc.x(8)
qc.cx(1, 9)
qc.x(7)
qc.cx(1, 11)
qc.swap(6, 11)
qc.swap(6, 9)
qc.swap(6, 10)
qc.x(6)
qc.draw('mpl') |
https://github.com/swe-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# 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/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import matplotlib.pyplot as plt
import itertools
from pprint import pprint
# plt.rcParams.update({'font.size': 16}) # enlarge matplotlib fonts
# Import qubit states Zero (|0>) and One (|1>), and Pauli operators (X, Y, Z)
from qiskit.opflow import Zero, One, I, X, Y, Z
from qiskit import Qua... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# 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/AllenGabrielMarchen/HHL_implementation | AllenGabrielMarchen | from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import numpy as np
import circuit as circ
import tools
def My_HHL(CU,b,n_l,n_b,backend,delta,shots,A,details = True,chevyshev = False):
#b_sol = np.hstack((b,np.zeros_like((np.shape(A)[0]-np.shape(b)[0],1))))
#circuit initializat... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, QuantumRegister
from qiskit.circuit.library.standard_gates import HGate
qr = QuantumRegister(3)
qc = QuantumCircuit(qr)
c3h_gate = HGate().control(2)
qc.append(c3h_gate, qr)
qc.draw('mpl') |
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | from qiskit import *
import numpy as np
import math
import qiskit
nshots = 8192
IBMQ.load_account()
#provider= qiskit.IBMQ.get_provider(hub='ibm-q-research-2',group='federal-uni-sant-1',project='main')
provider = qiskit.IBMQ.get_provider(hub='ibm-q', group='open', project='main')
device = provider.get_backend('... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | from math import pi
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.tools.visualization import matplotlib_circuit_drawer as drawer, qx_color_scheme
# We recommend the following options for Jupter notebook
%matplotlib inline
# Create a Quantum Register called "q" with 3 qubits
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
min_qubits=1
max_qubits=3
skip_qubits=1
max_circuits=3
num_shots=1000
use_XX_YY_ZZ_gates = True
Noise_Inclusion = False
saveplots = False
Memory_utilization_plot = True
Type_... |
https://github.com/entropicalabs/OpenQAOA-Challenge---Qiskit-Fall-Fest-2022-Mexico | entropicalabs | # Methods to use in the notebook
%load_ext autoreload
%autoreload 2
from IPython.display import clear_output
# Libaries to manipulate, print, plot, and save the data.
import matplotlib.pyplot as plt
import numpy as np
# Random generator for the problem
from random import seed,randrange, randint
# OpenQA... |
https://github.com/Qiskit/feedback | Qiskit | %matplotlib inline
import numpy as np
from qiskit_experiments.visualization import (
CurvePlotter,
IQPlotter,
MplDrawer,
PlotStyle,
)
from generate_data import generate_data
data = generate_data()
data_keys = set()
for _, x in data.items():
data_keys.update(x.keys())
print(d... |
https://github.com/qiskit-community/qiskit-dell-runtime | qiskit-community | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# 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/swe-bench/Qiskit__qiskit | swe-bench | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or... |
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/benkoehlL/Qiskit_Playground | benkoehlL | '''
This program implements the quantum Fourier transform (QFT)
'''
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, IBMQ
from qiskit.visualization import circuit_drawer as drawer
from qiskit.tools.visualization import plot_histogram
from qiskit import execute
from qiskit import Aer
im... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptim... |
https://github.com/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import matplotlib.pyplot as plt
import itertools
plt.rcParams.update({'font.size': 16}) # enlarge matplotlib fonts
# Import qubit states Zero (|0>) and One (|1>), and Pauli operators (X, Y, Z)
from qiskit.opflow import Zero, One, I, X, Y, Z
from qiskit import QuantumCircuit, QuantumRegister,... |
https://github.com/kaelynj/Qiskit-IsingModel | kaelynj | %reset -f
#%matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ, QuantumRegister
from qiskit.providers.aer import QasmSimulator, StatevectorSimulator, UnitarySimulator
from qiskit.compiler import transpile, assemble
from qiskit.tool... |
https://github.com/xtophe388/QISKIT | xtophe388 | import math
import numpy as np
from scipy import linalg
import matplotlib.pyplot as plt
# swap is 2x2 matrix
swap = np.array([[0, 1], [1, 0]], dtype=complex)
# Hadamard coin
c_Hadamard = (1/math.sqrt(2))*np.array([[1, 1], [1, -1]], dtype=complex)
# Balanced coin (not used)
c_bal = (1/math.sqrt(2))*np.arr... |
https://github.com/Cortexelus/qubit-audio-synthesis | Cortexelus | import numpy as np
pi = np.pi
import matplotlib.pyplot as plt
import librosa
%matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ, ClassicalRegister, QuantumRegister
from qiskit.compiler import transpile, assemble
from qiskit.tool... |
https://github.com/1chooo/Quantum-Oracle | 1chooo | #Program 7.1 Show Bloch sphere for computational basis and Fourier basis
from qiskit import QuantumRegister, QuantumCircuit
from qiskit.quantum_info import Statevector
print('='*60,'\nBelow are computational bases:')
cb = QuantumRegister(2,'computational_basis')
qc1 = QuantumCircuit(cb)
qc1.x(1)
display(qc1.draw... |
https://github.com/hrahman12/IBM-Variational-Algorithm-Design-Challenge | hrahman12 | answers = [2,3]
from qc_grader.challenges.algorithm_design import grade_problem_4
grade_problem_4(answers) |
https://github.com/Heisenbug-s-Dog/qnn_visualization | Heisenbug-s-Dog | # OpenMP: number of parallel threads.
%env OMP_NUM_THREADS=1
# Plotting
%matplotlib inline
import matplotlib.pyplot as plt
# PyTorch
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim import lr_scheduler
import torchvision
from torchvision import datasets, models, transforms
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import math
from qiskit import pulse
from qiskit.providers.fake_provider import FakeOpenPulse3Q
# TODO: This example should use a real mock backend.
backend = FakeOpenPulse3Q()
d2 = pulse.DriveChannel(2)
with pulse.build(backend) as bell_prep:
pulse.u2(0, math.pi, 0)
pulse.cx(0, 1)
with pulse... |
https://github.com/MonitSharma/Learn-Quantum-Machine-Learning | MonitSharma | import pennylane as qml
import jax
from jax import numpy as np
jax.config.update("jax_platform_name", "cpu")
dev = qml.device('default.qubit', wires=2)
x = np.array([0.1, 0.2, 0.3])
@qml.qnode(dev, diff_method="adjoint")
def circuit(a):
qml.RX(a[0], wires=0)
qml.CNOT(wires=(0,1))
qml.RY(a[... |
https://github.com/Harcipan/QAI_GroverSim | Harcipan | # Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile
from qiskit_ibm_provider import IBMProvider
import qiskit_ibm_provider.jupyter
#provider = IBMProvider('ibm-q')
#backend = provider.get_backend('ibmq_vigo')
from qiskit.visualization import *
from ibm_quantum_widgets import *
... |
https://github.com/mnp-club/Quantum_Computing_Workshop_2020 | mnp-club | %matplotlib inline
# Importing standard Qiskit libraries
import random
from qiskit import execute, Aer, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
#Get the library to check the answers
%pip install -I git+https://github.com/mnp-club/MnP_QC_Workshop.git
from mnp_qc_workshop_20... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import BasicAer, transpile, QuantumRegister, ClassicalRegister, QuantumCircuit
qr = QuantumRegister(1)
cr = ClassicalRegister(1)
qc = QuantumCircuit(qr, cr)
qc.h(0)
qc.measure(0, 0)
qc.draw('mpl') |
https://github.com/Qiskit/qiskit-neko | Qiskit | # This code is part of Qiskit.
#
# (C) Copyright IBM 2022, 2024.
#
# 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/Seanaventure/HighErrorRateRouting | Seanaventure | import matplotlib.pyplot as plt
import networkx as nx
import qiskit
import HERR
from qiskit.transpiler import CouplingMap
from qiskit.transpiler.passes.routing import *
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.dagcircuit import DAGCircuit
from qiskit.converters import circuit_to_dag
fr... |
https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | %matplotlib inline
from qiskit import *
from qiskit.visualization import *
from qiskit.tools.monitor import *
from qiskit.aqua import *
from qiskit.aqua.algorithms import *
shor = Shor(N=15, a = 2)
backend = Aer.get_backend('qasm_simulator')
quantum_instance = QuantumInstance(backend)
result = shor.run(qua... |
https://github.com/deadshot8086/quantum-grover-boolean-sat | deadshot8086 | from qiskit import QuantumCircuit, Aer, execute
from qiskit.visualization import plot_histogram
# simulate in statevector_simulator
def simulateStatevector(circuit):
backend = Aer.get_backend('statevector_simulator')
result = execute(circuit.remove_final_measurements(inplace=False), backend, shots=1).r... |
https://github.com/anirban-m/qiskit-superstaq | anirban-m | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
#... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | # -*- coding: utf-8 -*-
"""
sparse Hamiltonian simulation
"""
from math import pi
import numpy as np
from scipy.linalg import expm
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import Aer, execute
def Ham_sim(H, t):
"""
H : sparse matrix
t : ... |
https://github.com/crabster/qiskit-learning | crabster | from qiskit import QuantumCircuit, transpile, assemble
from qiskit.circuit.library import QFT
class CtrlMultCircuit(QuantumCircuit):
def __init__(self, a, binary_power, N):
super().__init__(N.bit_length())
self.a = a
self.power = 2 ** binary_power # Convert binary to decimal
... |
https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | #Uncomment the below line
#!pip install qiskit
#!pip install qiskit[visualization]
import numpy as np
import qiskit
qiskit.__qiskit_version__
#Import everything from qiskit
from qiskit import *
from qiskit.visualization import plot_bloch_vector
plot_bloch_vector([0,0,1],title = 'spinup')
plot_bl... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # 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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver()
problem = driver.run()
print(problem)
from qiskit_nature.second_q.problems import ElectronicBasis
driver.run_pyscf()
problem = driver.to_problem(basis=ElectronicBasis.MO, include_dipole=True)
print(problem.basis)
ao_problem ... |
https://github.com/we-taper/qiskit-pyzx | we-taper | import qiskit
%matplotlib inline
qiskit.__qiskit_version__
len = 4
q_r = qiskit.QuantumRegister(len, 'q')
c_r = qiskit.ClassicalRegister(len, 'c')
q_c = qiskit.QuantumCircuit(q_r, c_r)
q_c.h([q_r[0],q_r[3]])
q_c.x([q_r[0],q_r[3]])
q_c.ccx(q_r[0],q_r[3],q_r[1])
q_c.x([q_r[0],q_r[3]])
q_c.ccx(q_r[0],q_r[3]... |
https://github.com/ritamsarmah/cs239 | ritamsarmah | """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/JavaFXpert/think2020 | JavaFXpert | %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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, execute
from qiskit.visualization import plot_error_map
from qiskit.providers.fake_provider import FakeVigoV2
backend = FakeVigoV2()
plot_error_map(backend) |
https://github.com/mnp-club/Quantum_Computing_Workshop_2020 | mnp-club | !pip install qiskit
from qiskit import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import matplotlib.pyplot as plotter
import numpy as np
from IPython.display import display, Math, Latex
import qiskit.quantum_info as qi
%matplotlib inline
# Loading your IBM Q account(s)
provider = ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
top = QuantumCircuit(1)
top.x(0);
bottom = QuantumCircuit(2)
bottom.cry(0.2, 0, 1);
tensored = bottom.tensor(top)
tensored.draw('mpl') |
https://github.com/sebasmos/QuantumVE | sebasmos | from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.optim.lr_scheduler import StepLR
from torch.utils.data import random_split
from torch.utils.data import Su... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | #General imports
import numpy as np
#Operator Imports
from qiskit.opflow import Z, X, I, StateFn, CircuitStateFn, SummedOp
from qiskit.opflow.gradients import Gradient, NaturalGradient, QFI, Hessian
#Circuit imports
from qiskit.circuit import QuantumCircuit, QuantumRegister, Parameter, ParameterVector, Parame... |
https://github.com/qiskit-community/qiskit-pocket-guide | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
statevector = Statevector(qc)
print(statevector.data)
import numpy as np
from qiskit.quantum_info import Statevector
statevector = Statevector([1, 0, 0, 1] / np.sqrt(2))
print(state... |
https://github.com/Pitt-JonesLab/slam_decomposition | Pitt-JonesLab | # this notebook is going to test for randomly sampled locally equivalent gate, whether the basis gate set is sufficient to reconstruct the unitary with smushed gates
# we are going to test sqiswap, cnot, and syc as the 3 basis gates realized from gainconversion, CR, and fsim hamiltonians
import logging
logger = ... |
https://github.com/mrvee-qC-bee/NTUQuantum2023 | mrvee-qC-bee | from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.compiler import transpile
from qiskit_ibm_runtime import QiskitRuntimeService
import numpy as np
################# MAKE SURE YOUR API TOKEN IS SAVED ##########################
#Store your API token locally (only need to do once... |
https://github.com/WhenTheyCry96/qiskitHackathon2022 | WhenTheyCry96 | import warnings
warnings.filterwarnings('ignore')
from qiskit_metal import designs, MetalGUI
design = designs.DesignPlanar()
design.overwrite_enabled = True
design.chips.main.size_x = '12mm'
design.chips.main.size_y = '10mm'
gui = MetalGUI(design)
from qiskit_metal.qlibrary.qubits.transmon_pocket_cl i... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
# Build a quantum circuit
circuit = QuantumCircuit(3, 3)
circuit.x(1)
circuit.h(range(3))
circuit.cx(0, 1)
circuit.measure(range(3), range(3));
print(circuit)
circuit.draw()
# Matplotlib Drawing
circuit.draw(output='mpl')
# Dra... |
https://github.com/pathakis/Introduction-To-Qiskit | pathakis | from collections import namedtuple
import matplotlib.pyplot as plt
import numpy as np
import qutip
from qutip import Qobj, Bloch, basis, ket, tensor
import seaborn as sns
sns.set_theme(style="whitegrid")
%matplotlib inline
from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualizati... |
https://github.com/sergiogh/qpirates-qiskit-notebooks | sergiogh | from qiskit.quantum_info import Operator
from qiskit import QuantumCircuit
import numpy as np
def phase_oracle(n, solutions, name = 'Oracle'):
qc = QuantumCircuit(n, name=name)
oracle_matrix = np.identity(2**n)
for solution in solutions:
oracle_matrix[solution, solution] = -1
qc.unit... |
https://github.com/ctuning/ck-qiskit | ctuning | # 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.
#
# Any modifications or deriv... |
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | %run init.ipynb
|
https://github.com/matteoacrossi/oqs-jupyterbook | matteoacrossi | from qiskit import QuantumRegister, QuantumCircuit
# Quantum register
q = QuantumRegister(2, name='q')
# Quantum circuit
bell = QuantumCircuit(q)
# Create a Bell state
bell.x(q[0])
bell.x(q[1])
bell.h(q[0])
bell.cx(q[0], q[1])
# Draw circuit
bell.draw(output = 'mpl')
# Quantum register
q = QuantumR... |
https://github.com/hephaex/Quantum-Computing-Awesome-List | hephaex | import cirq
import random
def main(qubit_count = 8):
circuit_sample_count = 3
# Choose qubits to use.
input_qubits = [cirq.GridQubit(i, 0) for i in range(qubit_count)]
output_qubit = cirq.GridQubit(qubit_count, 0)
# Pick coefficients for the oracle and create a circuit to query it.
... |
https://github.com/orpgol/quantum_algorithms_qiskit | orpgol | """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/GabrielPontolillo/Quantum_Algorithm_Implementations | GabrielPontolillo | # importing Qiskit
from qiskit import Aer, transpile, assemble
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit.visualization import plot_histogram, plot_bloch_multivector
from qiskit.visualization import plot_state_paulivec, plot_state_hinton, plot_state_city
from qiskit.visualiza... |
https://github.com/hrahman12/IBM-Variational-Algorithm-Design-Challenge | hrahman12 | answers = [1, 2]
from qc_grader.challenges.algorithm_design import grade_problem_1
grade_problem_1(answers) |
https://github.com/geduardo/Q-Snake-Qiskitcamp-Europe-2019 | geduardo | import numpy as np
from qiskit import *
q = QuantumRegister(1)
# Create a Quantum Circuit acting on a quantum register of n qubits
qc = QuantumCircuit(q)
diag = qc.draw(output="mpl")
diag.savefig("1.png", format="png")
qc.h(0)
diag = qc.draw(output="mpl")
diag.savefig("2.png", format="png")
qc.z(0... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Clifford, random_clifford
qc = QuantumCircuit(3)
cliff = random_clifford(2)
qc.append(cliff, [0, 1])
qc.ccx(0, 1, 2)
qc.draw('mpl') |
https://github.com/indian-institute-of-science-qc/qiskit-aakash | indian-institute-of-science-qc | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile
from qiskit.visualization import plot_circuit_layout
from qiskit.providers.fake_provider import FakeVigo
backend = FakeVigo()
ghz = QuantumCircuit(3, 3)
ghz.h(0)
ghz.cx(0,range(1,3))
ghz.barrier()
ghz.measure(range(3), range(3))
# Virtual -> physical
# 0 ... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 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 deriva... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import ZFeatureMap, RealAmplitudes
from qiskit.utils import algorithm_globals
from sklearn... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization import QuadraticProgram
qp = QuadraticProgram()
qp.binary_var("x")
qp.binary_var("y")
qp.integer_var(lowerbound=0, upperbound=7, name="z")
qp.maximize(linear={"x": 2, "y": 1, "z": 1})
qp.linear_constraint(linear={"x": 1, "y": 1, "z": 1}, sense="LE", rhs=5.5, name="xyz_leq")
qp.linear... |
https://github.com/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import matplotlib.pyplot as plt
import itertools
import pickle
# plt.rcParams.update({'font.size': 16}) # enlarge matplotlib fonts
import time
import datetime
# Import qubit states Zero (|0>) and One (|1>), and Pauli operators (X, Y, Z)
from qiskit.opflow import Zero, One, I, X, Y, Z
from... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # 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.
#
# Any modifications or deriv... |
https://github.com/QuTech-Delft/quantuminspire | QuTech-Delft | """ Quantum Inspire SDK
Copyright 2022 QuTech Delft
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ag... |
https://github.com/rickapocalypse/final_paper_qiskit_sat | rickapocalypse | from qiskit.providers.aer import QasmSimulator
from multiprocessing import Barrier
from qiskit import*
from qiskit import circuit
import matplotlib.pyplot as plt
from qiskit.tools.visualization import plot_histogram
from qiskit.tools.monitor import job_monitor
circuit = QuantumCircuit(2,2)
circuit.h([0,1])
c... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
q = QuantumRegister(1)
c = ClassicalRegister(1)
qc = QuantumCircuit(q, c)
qc.h(q)
qc.measure(q, c)
qc.draw(output='mpl', style={'backgroundcolor': '#EEEEEE'}) |
https://github.com/qiskit-community/qiskit-cold-atom | qiskit-community | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or deriv... |
https://github.com/quantumyatra/quantum_computing | quantumyatra | %matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit,QuantumRegister,ClassicalRegister, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
def qft_1():
n=1
... |
https://github.com/quantum-tokyo/qiskit-handson | quantum-tokyo | import math
import numpy as np
import matplotlib.pyplot as plt
#from fractions import Fraction
from quantum_computer_math_guide_trigonometric_intro_exercise_answer import *
ans1 = # こちらに値を書いてください
print(check_answer_exercise(ans1,"ans1"))
ans2 = # こちらに値を書いてください。
print(check_answer_exercise(ans2,"ans2"))
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.visualization.timeline import draw as timeline_draw
from qiskit import QuantumCircuit, transpile
from qiskit.providers.fake_provider import FakeBoeblingen
backend = FakeBoeblingen()
ghz = QuantumCircuit(5)
ghz.h(0)
ghz.cx(0,range(1,5))
circ = transpile(ghz, backend, scheduling_method="asap")
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_state_city
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
# plot using a Statevector
state = Statevector(qc)
plot_state_city(state) |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import BasicAer
from qiskit.compiler import transpile
from qiskit.quantum_info.operators import Operator, Pauli
from qiskit.quantum_info import process_fidelity
from qiskit.extensions import RXGate, XGate, CXG... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# 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/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/HermanniH/QRAKEN | HermanniH | ## QRAKEN: Quantum Random Keys via Entanglement. QRAKEN is a certified quantum random number generator for the Qiskit framework.
## Repository: https://github.com/HermanniH/QRAKEN
## Qiskit backend code written by Tobias Haug, comments to tobias.haug@u.nus.edu
## QRAKEN members: Tobias Haug, Hermanni Heimonen, Kisho... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_bloch_multivector
qc = QuantumCircuit(2)
qc.h(0)
qc.x(1)
state = Statevector(qc)
plot_bloch_multivector(state) |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import matplotlib.pyplot as plt
import numpy as np
from IPython.display import clear_output
from qiskit import QuantumCircuit
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import ZFeatureMap, RealAmplitudes
from qiskit.utils import algorithm_globals
from sklearn... |
https://github.com/C2QA/bosonic-qiskit | C2QA | # To use the package locally, add the C2QA repository's root folder to the path prior to importing c2qa.
import os
import sys
module_path = os.path.abspath(os.path.join("../.."))
if module_path not in sys.path:
sys.path.append(module_path)
# Cheat to get MS Visual Studio Code Jupyter server to recognize Pyt... |
https://github.com/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import matplotlib.pyplot as plt
import itertools
from pprint import pprint
import pickle
import time
import datetime
# Import qubit states Zero (|0>) and One (|1>), and Pauli operators (X, Y, Z)
from qiskit.opflow import Zero, One, I, X, Y, Z
from qiskit import QuantumCircuit, QuantumRegis... |
https://github.com/xtophe388/QISKIT | xtophe388 | # useful additional packages
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
# useful math functions
from math import pi, cos, acos, sqrt
# importing the QISKit
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import available_backends, execute, regist... |
https://github.com/mentesniker/Quantum-error-mitigation | mentesniker | from qiskit import QuantumCircuit, QuantumRegister, Aer, execute, ClassicalRegister
from qiskit.ignis.verification.topological_codes import RepetitionCode
from qiskit.ignis.verification.topological_codes import lookuptable_decoding
from qiskit.ignis.verification.topological_codes import GraphDecoder
from qiskit.pro... |
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/vm6502q/qiskit-qrack-provider | vm6502q | # This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.library import MCXGate
gate = MCXGate(4)
from qiskit import QuantumCircuit
circuit = QuantumCircuit(5)
circuit.append(gate, [0, 1, 4, 2, 3])
circuit.draw('mpl') |
https://github.com/1ucian0/qiskit-openqasm2 | 1ucian0 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# 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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.optimizers import SLSQP
from qiskit.circuit.library import TwoLocal
num_qubits = 2
ansatz = TwoLocal(num_qubits, "ry", "cz")
optimizer = SLSQP(maxiter=1000)
ansatz.decompose().draw("mpl", style="iqx")
from qiskit.primitives import Estimator
estimator = Estimator()
from qiskit.al... |
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/indian-institute-of-science-qc/qiskit-aakash | indian-institute-of-science-qc | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# 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/pedroripper/qiskit_tutoriais | pedroripper | from qiskit import *
global x
x = QuantumCircuit(2,2)
def ua(bit_0 , bit_1):
global x
if(bit_0 == 1 and bit_1 == 0):
x.cx(0,1)
ua(0,0)
x.draw()
0 == 0
0 == 1
|
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
K = 4
w = 0.5
NUM_SHOTS = 1024
NUM_ITERATIONS = 100
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit imp... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # This code is part of Qiskit.
#
# (C) Copyright IBM 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 deriv... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
qc = QuantumCircuit(12)
for idx in range(5):
qc.h(idx)
qc.cx(idx, idx+5)
qc.cx(1, 7)
qc.x(8)
qc.cx(1, 9)
qc.x(7)
qc.cx(1, 11)
qc.swap(6, 11)
qc.swap(6, 9)
qc.swap(6, 10)
qc.x(6)
qc.draw('mpl') |
https://github.com/victor-onofre/Quantum_Algorithms | victor-onofre | from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ, BasicAer
from qiskit.visualization import plot_bloch_multivector,plot_bloch_vector, plot_histogram
from qiskit.quantum_info import Statevector
import numpy as np
import matplotlib
backend = BasicAer.get_backend('qasm_simu... |
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