repo stringclasses 885
values | file stringclasses 741
values | content stringlengths 4 215k |
|---|---|---|
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_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
es_problem = driver.run()
from qiskit_nature.second_q.mappers import J... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.units import DistanceUnit
from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.735",
basis="sto3g",
charge=0,
spin=0,
unit=DistanceUnit.ANGSTROM,
)
es_problem = driver.run()
from qiskit_nature.second_q.mappers import J... |
https://github.com/qiskit-community/qiskit-pocket-guide | qiskit-community | from qiskit.opflow.state_fns import StateFn
statefn = StateFn('10100')
print(statefn)
from qiskit import QuantumCircuit
qc = QuantumCircuit(3)
qc.h(0)
qc.cx(0, 1)
qc.cx(1, 2)
statefn = StateFn(qc)
print(statefn)
import numpy as np
statefn = StateFn([1, 0, 0, 1] / np.sqrt(2))
print(statefn)
fr... |
https://github.com/apcarrik/qiskit-dev | apcarrik | import sys
# !conda install --yes --prefix {sys.prefix} numpy
# !conda install --yes --prefix {sys.prefix} qiskit
# !conda install --yes --prefix {sys.prefix} matplotlib
# !{sys.executable} -m pip install pyppeteer
import numpy as np
from qiskit import *
from matplotlib import pyplot
from math import pi
th... |
https://github.com/jdanielescanez/quantum-solver | jdanielescanez |
from qiskit import QuantumCircuit
from math import log2
class QSCircuit(QuantumCircuit):
def __init__(self, size):
self.size = size
super().__init__(size, size)
def not1(self, a):
self.x(a)
def not2(self, a, result):
self.reset(result)
self.cx(a, result)
self.x(result)
... |
https://github.com/Aman-Agrawal01/Quantum-Computing-Qiskit-Tutorial | Aman-Agrawal01 | from qiskit import *
from qiskit.tools.visualization import plot_histogram
%matplotlib inline
qr1 = QuantumRegister(size=2,name='numbers')
qr2 = QuantumRegister(size=1,name='answer-bit')
qr3 = QuantumRegister(size=1,name='carry-bit')
cr1 = ClassicalRegister(size=1,name='answer-cbit')
cr2 = ClassicalRegister(... |
https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, Aer
q = QuantumRegister(2, "q")
c = ClassicalRegister(2, "c")
qc = QuantumCircuit(q,c)
qc.x(q[1])
qc.cx(q[1],q[0])
# Returning control qubit to the initial state
qc.x(q[1])
job = execute(qc,Aer.get_backend('unitary_simul... |
https://github.com/Ilan-Bondarevsky/qiskit_algorithm | Ilan-Bondarevsky | # -*- 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 | # You can show the phase of each state and use
# degrees instead of radians
from qiskit.quantum_info import DensityMatrix
import numpy as np
from qiskit import QuantumCircuit
from qiskit.visualization import plot_state_qsphere
qc = QuantumCircuit(2)
qc.h([0, 1])
qc.cz(0,1)
qc.ry(np.pi/3, 0)
qc.rx(np.pi/5,... |
https://github.com/Alice-Bob-SW/emulation-examples | Alice-Bob-SW | from qiskit_alice_bob_provider import AliceBobLocalProvider
from qiskit_aer import AerSimulator
import tempfile
from qiskit import transpile, execute, QuantumCircuit
from qiskit.circuit import Qubit, Clbit
from qiskit.circuit.library.phase_oracle import PhaseOracle
from qiskit_algorithms import AmplificationProbl... |
https://github.com/farhad-abdi/InSilicoQ | farhad-abdi |
#importing packages
import numpy as np
import matplotlib.pyplot as plt
import torch
from torch.autograd import Function
from torchvision import datasets, transforms
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
import qiskit
from qiskit import transpile, assemble
fro... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import copy
# Problem modelling imports
from docplex.mp.model import Model
# Qiskit imports
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit.utils.algorithm_gl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.tools.visualization import circuit_drawer
q = QuantumRegister(1)
c = ClassicalRegister(1)
qc = QuantumCircuit(q, c)
qc.h(q)
qc.measure(q, c)
circuit_drawer(qc, output='mpl', style={'backgroundcolor': '#EEEEEE'}) |
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | #In case you don't have qiskit, install it now
%pip install qiskit --quiet
#Installing/upgrading pylatexenc seems to have fixed my mpl issue
#If you try this and it doesn't work, try also restarting the runtime/kernel
%pip install pylatexenc --quiet
!pip install -Uqq ipdb
!pip install qiskit_optimization
imp... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Necessary imports
import numpy as np
import matplotlib.pyplot as plt
from torch import Tensor
from torch.nn import Linear, CrossEntropyLoss, MSELoss
from torch.optim import LBFGS
from qiskit import QuantumCircuit
from qiskit.utils import algorithm_globals
from qiskit.circuit import Parameter
from qiski... |
https://github.com/qBraid/qBraid | qBraid | # Copyright (C) 2024 qBraid
#
# This file is part of the qBraid-SDK
#
# The qBraid-SDK is free software released under the GNU General Public License v3
# or later. You can redistribute and/or modify it under the terms of the GPL v3.
# See the LICENSE file in the project root or <https://www.gnu.org/licenses/gpl-... |
https://github.com/madmen2/QASM | madmen2 | #Quantum gates basics
from qiskit import *
from qiskit.tools.visualization import plot_bloch_multivector
from qiskit.tools.visualization import plot_histogram
import matplotlib
circuit = QuantumCircuit(1,1) #one qubit one classical bit (one operation )
circuit.x(0)
simulator = Aer.get_backend('statevector_si... |
https://github.com/JouziP/MQITE | JouziP | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 13 14:39:39 2022
@author: pejmanjouzdani
"""
import numpy as np
import pandas as pd
from qiskit import QuantumCircuit, transpile
from qiskit import Aer
# from Amplitude.AmplitudeFunctions.getAmplitudes import getAmplitudes
# f... |
https://github.com/MonitSharma/Qiskit-Summer-School-and-Quantum-Challenges | MonitSharma | # please create a 3 qubit GHZ circuit
# please create a 2 qubit ch gate with only cx and ry gate
# Enter your prompt here - Delete this line |
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/Spintronic6889/Introduction-of-Quantum-walk-its-application-on-search-and-decision-making | Spintronic6889 | !python --version
!pip install qiskit
!pip install pylatexenc
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, Aer
from qiskit.visualization import plot_histogram
import matplotlib.pyplot as plt
from qiskit.visualization import plot_state_city
%matplotlib inline
import matplot... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | from qiskit.circuit.library import QuantumVolume as QuantumVolumeCircuit
from qiskit.quantum_info import Statevector
qv_circuit = QuantumVolumeCircuit(4)
qv_circuit.decompose().draw()
def get_heavy_outputs(counts):
"""Extract heavy outputs from counts dict.
Args:
counts (dict): Output of `.get... |
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/Axect/QuantumAlgorithms | Axect | import numpy as np
from numpy import pi
# importing Qiskit
from qiskit import QuantumCircuit, transpile, assemble, Aer
from qiskit.visualization import plot_histogram, plot_bloch_multivector
qc = QuantumCircuit(3)
qc.h(2)
qc.cp(pi/2, 1, 2)
qc.cp(pi/4, 0, 2)
qc.h(1)
qc.cp(pi/2, 0, 1)
qc.h(0)
qc.swap(0, 2)
... |
https://github.com/carstenblank/dc-qiskit-stochastics | carstenblank | # Copyright 2018-2022 Carsten Blank
#
# 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 agreed ... |
https://github.com/DmitriiNabok/QuantumKitchenSinks | DmitriiNabok | import time, sys
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split, GridSearchCV, KFold
from sklearn import metrics
from sklearn.linear_model import LogisticRegression
from sklearn.svm import LinearSVR, SVR
# Qiskit
from qiskit import Aer
from qiskit.ut... |
https://github.com/mrvee-qC-bee/SCQC23 | mrvee-qC-bee | from qiskit import QuantumCircuit
from qiskit.visualization import plot_histogram
from qiskit.circuit import Parameter
import numpy as np
# Define a variable theta to be a parameter with name 'theta'
theta = Parameter('theta')
# Initialize a quantum circuit with one qubit
quantum_circuit = QuantumCircuit(1)
... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | from IPython.display import HTML
HTML('''<script>
code_show=true;
function code_toggle() {
if (code_show){
$('div.input').hide();
} else {
$('div.input').show();
}
code_show = !code_show
}
$( document ).ready(code_toggle);
</script>
<form action="javascript:code_toggle()"><input type="submit" val... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.random import random_circuit
circuit = random_circuit(2, 2, seed=0).decompose(reps=1)
display(circuit.draw("mpl"))
from qiskit.quantum_info import SparsePauliOp
observable = SparsePauliOp("XZ")
print(f">>> Observable: {observable.paulis}")
from qiskit.primitives import Estimator
est... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
from sklearn.datasets import make_blobs
features, labels = make_blobs(
n_samples=20,
centers=2,
center_box=(-1, 1),
cluster_std=0.1,
random_state=algorithm_globals.random_seed,
)
from qiskit import Ba... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import pulse
d0 = pulse.DriveChannel(0)
x90 = pulse.Gaussian(10, 0.1, 3)
x180 = pulse.Gaussian(10, 0.2, 3)
def udd10_pos(j):
return np.sin(np.pi*j/(2*10 + 2))**2
with pulse.build() as udd_sched:
pulse.play(x90, d0)
with pulse.align_func(duration=300, func=udd10_... |
https://github.com/DSamuel1/QiskitProjects | DSamuel1 | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, Aer, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
# Loading your IBM Q account(s)
provider = IBMQ.load_account()
from qiskit import *
def dj... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | %matplotlib inline
# Importing standard Qiskit libraries
import random
from qiskit import *
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_2020.bb84 import *
... |
https://github.com/GabrielPontolillo/Quantum_Algorithm_Implementations | GabrielPontolillo | from qiskit import QuantumCircuit
def create_bell_pair():
qc = QuantumCircuit(2)
qc.h(1)
qc.cx(1, 0)
return qc
def encode_message(qc, qubit, msg):
if len(msg) != 2 or not set([0,1]).issubset({0,1}):
raise ValueError(f"message '{msg}' is invalid")
if msg[1] == "1":
#... |
https://github.com/soultanis/Quantum-Database-Search | soultanis | circuit = None
oracle_simple = None
execute = None
Aer = None
IBMQ = None
least_busy = None
def _import_modules():
print("Importing modules")
global circuit, oracle_simple, execute, least_busy
import circuit
import oracle_simple
from qiskit import execute
from qiskit.backends.ibm... |
https://github.com/sanori/quantum-docker | sanori | import qsharp
qsharp.__version__
from NamespaceQFT import Perform3qubitQFT
Perform3qubitQFT.simulate()
|
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
from qiskit.algorithms import IterativeAmplitudeEstimation, EstimationProblem
from qiskit.circuit.library import LinearAmplitudeFunction
from qiskit_aer.primitives import Sampler
from qiskit_finance.circuit.library import LogNormalDistribut... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | from qiskit.circuit.library.standard_gates import RXGate, RZGate, CXGate, CZGate
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
def get_thetas_circuit(thetas, D2):
qr = QuantumRegister(4, name="qubit")
qc = QuantumCircuit(qr)
for d in range(D2):
qc.append(RXG... |
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/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | %run init.ipynb
from qiskit import *
def Hxxx():
H = tp(tp(pauli(1),pauli(1)),id(2)) + tp(id(2),tp(pauli(1),pauli(1)))\
+ tp(tp(pauli(2),pauli(2)),id(2)) + tp(id(2),tp(pauli(2),pauli(2)))\
+ tp(tp(pauli(3),pauli(3)),id(2)) + tp(id(2),tp(pauli(3),pauli(3)))
return H
H = Hxxx(); H
#eig
#eig... |
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/jwalaQ/my-qiskit-textbook-solutions | jwalaQ | n = 275
print("Answer = " + bin(n)[2:]) |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.tools.visualization import circuit_drawer
q = QuantumRegister(1)
c = ClassicalRegister(1)
qc = QuantumCircuit(q, c)
qc.h(q)
qc.measure(q, c)
circuit_drawer(qc, output='mpl', style={'backgroundcolor': '#EEEEEE'}) |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import random
from qiskit.quantum_info import Statevector
secret = random.randint(0,7) # the owner is randomly picked
secret_string = format(secret, '03b') # format the owner in 3-bit string
oracle = Statevector.from_label(secret_string) # let the oracle know the owner
from qiskit.algorithms import Amplific... |
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | cos(-2*pi/3), sin(-2*pi/3), cos(-4*pi/3), sin(-4*pi/3), cos(-8*pi/3), sin(-8*pi/3)
|
https://github.com/Pitt-JonesLab/clonk_transpilation | Pitt-JonesLab | from typing import Optional
from qiskit.circuit.gate import Gate
from qiskit.circuit.parameterexpression import ParameterValueType
import numpy as np
class RiSwapGate(Gate):
r"""RiSWAP gate.
**Circuit Symbol:**
.. parsed-literal::
q_0: ─⨂─
R(alpha)
q_1: ─⨂─
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.problems import BaseProblem
dummy_hamiltonian = None
base_problem = BaseProblem(dummy_hamiltonian)
print(base_problem.properties)
from qiskit_nature.second_q.properties import AngularMomentum
print("AngularMomentum is in problem.properties:", AngularMomentum in base_problem.prop... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 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/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate calibration
from dat... |
https://github.com/AllenGabrielMarchen/HHL_implementation | AllenGabrielMarchen | #measurement.py
from qiskit import QuantumCircuit, transpile, assemble
from qiskit.visualization import plot_histogram
def measurement(qc,n_l,n_b,CU,backend,shots):
t = transpile(qc, backend)
qobj = assemble(t, shots=shots)
results = backend.run(qobj).result()
answer = results.get_count... |
https://github.com/apcarrik/qiskit-dev | apcarrik | import pylab
import numpy as np
from qiskit import Aer
from qiskit.utils import QuantumInstance
from qiskit.tools.visualization import plot_histogram
from qiskit.algorithms import Grover, AmplificationProblem
from qiskit.circuit.library.phase_oracle import PhaseOracle
### Finding Solutions to 3-SAT Problems
... |
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/Qottmann/Quantum-anomaly-detection | Qottmann | import sys
sys.path.insert(1, '..') # sets the import path to the parent folder
import time
import itertools
import numpy as np
import qiskit
from qiskit import *
from qiskit.quantum_info import Statevector
from qiskit.algorithms.optimizers import COBYLA, L_BFGS_B, SPSA
from qiskit.opflow.state_fns import ... |
https://github.com/carstenblank/dc-qiskit-qml | carstenblank | import qiskit
from qiskit_aer.backends.aerbackend import AerBackend
from dc_qiskit_qml.encoding_maps import NormedAmplitudeEncoding
from dc_qiskit_qml.distance_based.hadamard import QmlHadamardNeighborClassifier
from dc_qiskit_qml.distance_based.hadamard.state import QmlGenericStateCircuitBuilder
from dc_qiskit_... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.timeline import draw, IQXSimple
from qiskit.providers.fake_provider import FakeBoeblingen
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
qc = transpile(qc, FakeBoeblingen(), scheduling_method='alap', layout_method='trivial')
draw(qc,... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.72" # Two Hydrogen atoms, 0.72 Angstrom apart
)
molecule = driver.run()
from qiskit_nature.second_q.mappers import QubitConverter, ParityMapper
qubit_converter = QubitConverter(ParityMapper())
hamiltonian =... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # You can choose different colors for the real and imaginary parts of the density matrix.
from qiskit import QuantumCircuit
from qiskit.quantum_info import DensityMatrix
from qiskit.visualization import plot_state_city
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
state = DensityMatrix(qc)
plot_state_city(st... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])
qc.draw('mpl') |
https://github.com/matheusmtta/Quantum-Computing | matheusmtta | import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
from qiskit import *
from qiskit.providers.ibmq import least_busy
from qiskit.tools.visualization import plot_histogram
from IPython.display import display, Math, Latex
def Increment(size):
U = QuantumCircuit(size)
control = [x... |
https://github.com/qclib/qclib | qclib | # 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/xtophe388/QISKIT | xtophe388 | # Import the QuantumProgram and our configuration
import math
from pprint import pprint
from qiskit import QuantumProgram
import Qconfig
qp = QuantumProgram()
# quantum register for the first circuit
q1 = qp.create_quantum_register('q1', 4)
c1 = qp.create_classical_register('c1', 4)
# quantum register for ... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import GaussianForcesDriver
# if you ran Gaussian elsewhere and already have the output file
driver = GaussianForcesDriver(logfile="aux_files/CO2_freq_B3LYP_631g.log")
# if you want to run the Gaussian job from Qiskit
# driver = GaussianForcesDriver(
# ['#p B... |
https://github.com/SaashaJoshi/IBM-Qiskit-Summer-School-2020 | SaashaJoshi | # import SymPy and define symbols
import sympy as sp
sp.init_printing(use_unicode=True)
wr = sp.Symbol('\omega_r') # resonator frequency
wq = sp.Symbol('\omega_q') # qubit frequency
g = sp.Symbol('g', real=True) # vacuum Rabi coupling
Delta = sp.Symbol('Delta', real=True) # wr - wq; defined later
# import oper... |
https://github.com/jcylim/QiskitProject | jcylim | from qiskit import ClassicalRegister, QuantumRegister
from qiskit import QuantumCircuit, execute
from qiskit.tools.visualization import plot_histogram, circuit_drawer
q = QuantumRegister(2)
c = ClassicalRegister(2)
#quantum circuit is used to perform operations on qubits
qc = QuantumCircuit(q, c)
#hadamard gat... |
https://github.com/2lambda123/Qiskit-qiskit | 2lambda123 | # 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/Chibikuri/qwopt | Chibikuri | # This cell is added by sphinx-gallery
# It can be customized to whatever you like
%matplotlib inline
import pennylane as qml
import numpy as np
import tensorflow as tf
dev = qml.device('cirq.simulator', wires=4)
def real(angles, **kwargs):
qml.RY(0.27740551, wires=0)
qml.PauliX(wires =0)
qm... |
https://github.com/albertnieto/mucomcu04 | albertnieto | %%capture
%pip install qiskit
%pip install qiskit_ibm_provider
%pip install qiskit-aer
# Importing standard Qiskit libraries
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, QuantumCircuit, transpile, Aer
from qiskit_ibm_provider import IBMProvider
from qiskit.tools.jupyter import *
from... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.problems.second_quantization.lattice.lattices import LineLattice
from qiskit_nature.problems.second_quantization.lattice.models import FermiHubbardModel
line = LineLattice(2)
fermi = FermiHubbardModel.uniform_parameters(line, 2.0, 4.0, 3.0)
print(fermi.second_q_ops()) # Note: the trailing `s`
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import QuantumCircuit
from qiskit.providers.fake_provider import FakeVigoV2
backend = FakeVigoV2()
qc = QuantumCircuit(2, 1)
qc.h(0)
qc.x(1)
qc.cp(np.pi/4, 0, 1)
qc.h(0)
qc.measure([0], [0])
qc.draw(output='mpl') |
https://github.com/QPong/qpong-livestream | QPong | import pygame
import qiskit
from . import globals
class Computer:
def __init__(self):
pass
def update(self):
pass
class ClassicalComputer(Computer):
def __init__(self, paddle):
self.paddle = paddle
self.score = 0
self.speed = 3
def update(self... |
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/sarthag/Quantum-Algos-using-Qiskit | sarthag | # initialization
import numpy as np
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, execute, Aer
from qiskit.tools.jupyter import *
provider = IBMQ.load_account()
# import basic plot tools
from qiskit.visualization import ... |
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/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import time
from qiskit_experiments.library import StandardRB, InterleavedRB
from qiskit_experiments.framework import ParallelExperiment
from qiskit_experiments.library.randomized_benchmarking import RBUtils
import qiskit.circuit.library as circuits
# for retrieving gate Reference
from date... |
https://github.com/matteoacrossi/oqs-jupyterbook | matteoacrossi | # Imports
import numpy as np
import matplotlib.pyplot as plt
from datetime import datetime
import json
import copy
# Main qiskit imports
from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, execute, Aer, IBMQ
# Error mitigation
from qiskit.ignis.mitigation.measurement... |
https://github.com/jatin-47/QGSS-2021 | jatin-47 | from qiskit.circuit.library import RealAmplitudes
ansatz = RealAmplitudes(num_qubits=2, reps=1, entanglement='linear')
ansatz.draw('mpl', style='iqx')
from qiskit.opflow import Z, I
hamiltonian = Z ^ Z
from qiskit.opflow import StateFn
expectation = StateFn(hamiltonian, is_measurement=True) @ StateFn(an... |
https://github.com/DarkStarQuantumLab/Qauntum-trading-a-disturbance-in-the-force-of-supply-and-demand | DarkStarQuantumLab | !python3 -m pip install -q qiskit
!python3 -m pip install -q qiskit_ibm_runtime
!python3 -m pip install qiskit-aer
import numpy as np
import pandas as pd
from qiskit import IBMQ, BasicAer, Aer
from qiskit_ibm_runtime import QiskitRuntimeService, Session, Options, Sampler, Estimator
from qiskit.circuit.quantumc... |
https://github.com/joemoorhouse/quantum-mc | joemoorhouse | import sys, os
import numpy as np
import scipy
from scipy.stats import norm
sys.path.append("../../../quantum-mc") # see os.getcwd()
import matplotlib.pyplot as plt
import quantum_mc.calibration.fitting as ft
import quantum_mc.calibration.time_series as ts
import matplotlib.dates as mdates
from matplotlib.tick... |
https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | #
# your code is here
#
# all portions are stored in a list
all_portions = [7,5,4,2,6,1];
# calculate the total portions
total_portion = 0
for i in range(6):
total_portion = total_portion + all_portions[i]
print("total is",total_portion)
# find the weight of one portion
one_portion = 1/total_porti... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 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... |
https://github.com/sarthag/Quantum-Algos-using-Qiskit | sarthag | # initialization
import numpy as np
import matplotlib
# importing Qiskit
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ, BasicAer, assemble, transpile
from qiskit.quantum_info import Statevector
# import basic plot tools
... |
https://github.com/magn5452/QiskitQaoa | magn5452 | import numpy as np
from qiskit import Aer
from qiskit import QuantumCircuit
from VehicleRouting.standard.CostCalculator import CostCalculator
def compute_expectation(counts, graph):
"""
Computes expectation value based on measurement results
Args:
counts: dict
key as b... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | 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/swe-bench/Qiskit__qiskit | swe-bench | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
#... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
#... |
https://github.com/apcarrik/qiskit-dev | apcarrik | import math
import numpy as np
from qiskit import Aer
from qiskit.utils import QuantumInstance
from qiskit.algorithms import Shor
N = 15
backend = Aer.get_backend('aer_simulator')
quantum_instance = QuantumInstance(backend, shots=1024)
shor = Shor(quantum_instance=quantum_instance)
result = shor.factor(N)
p... |
https://github.com/jvscursulim/qamp_fall22_project | jvscursulim | import numpy as np
import matplotlib.pyplot as plt
import imageio.v2 as imageio
from qiskit import execute, transpile
from qiskit.circuit import ClassicalRegister, QuantumCircuit, QuantumRegister
from qiskit.providers.aer.backends import AerSimulator
from qiskit.visualization import plot_histogram
from qiskit.... |
https://github.com/hephaex/Quantum-Computing-Awesome-List | hephaex | # Importing everything
from qiskit import *
from qiskit.visualization import plot_histogram
# For Jupyter Notebooks, change the settings to get nicer images
%config InlineBackend.figure_format = 'svg'
def create_bell_pair(qc, a, b):
qc.h(a)
qc.cx(a, b)
def encode_message(qc, qubit, message):
if... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit.dagcircuit import DAGCircuit
from qiskit.converters import circuit_to_dag
from qiskit.visualization import dag_drawer
q = QuantumRegister(3, 'q')
c = ClassicalRegister(3, 'c')
circ = QuantumCircuit(q, c)
circ.h(q[0])
circ.cx(q[0... |
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 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... |
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/qiskit-community/community.qiskit.org | qiskit-community | from qiskit import *
qc = QuantumCircuit()
qr = QuantumRegister(2,'qreg')
qc.add_register( qr )
qc.qregs
qc.draw(output='mpl')
qc.h()
qc.h( qr[0] )
qc.cx( qr[0], qr[1] );
qc.draw(output='mpl')
vector_sim = Aer.get_backend('statevector_simulator')
Aer.backends()
job = execute( qc, vec... |
https://github.com/QuSTaR/kaleidoscope | QuSTaR | # 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/swe-bench/Qiskit__qiskit | swe-bench | # 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/GabrielPontolillo/QiskitPBT | GabrielPontolillo | from uuid import uuid4
from qiskit import QuantumCircuit
from QiskitPBT.stats.measurement_configuration import MeasurementConfiguration
from QiskitPBT.utils import HashableQuantumCircuit
class ExecutionOptimizer:
def __init__(self) -> None:
self.measurement_info_for_unique_circuits: dict[HashableQ... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # 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/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... |
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