repo stringclasses 885
values | file stringclasses 741
values | content stringlengths 4 215k |
|---|---|---|
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 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/fvarchon/qiskit-intros | fvarchon | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, Aer, execute
from qiskit_aqua.algorithms import Grover
from qiskit.ignis.verification.randomized_benchmarking import RBFitter
from qiskit_chemistry import QiskitChemistry
api_token = ''
url = ''
from qiskit import IB... |
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/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | %run init.ipynb
lbda = symbols('lambda', real=True); E0 = Matrix([[1,0],[0,sqrt(1-lbda)]]); E0
# coefficients of the expansion of E0 in the Pauli basis
c0 = trace((id(2)/sqrt(2))*E0); c1 = trace((pauli(1)/sqrt(2))*E0)
c2 = trace((pauli(2)/sqrt(2))*E0); c3 = trace((pauli(3)/sqrt(2))*E0)
simplify(c0), simplify(c... |
https://github.com/DRA-chaos/Quantum-Classical-Hyrid-Neural-Network-for-binary-image-classification-using-PyTorch-Qiskit-pipeline | DRA-chaos | !pip install qiskit
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 datetime
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
plt.rcParams.update({"text.usetex": True})
plt.rcParams["figure.figsize"] = (6,4)
mpl.rcParams["figure.dpi"] = 200
from qiskit_ibm_runtime import Estimator, Session, QiskitRuntimeService, Options
from qiskit.quantum_in... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.problems import QuadraticProgram
# define a problem
qp = QuadraticProgram()
qp.binary_var("x")
qp.integer_var(name="y", lowerbound=-1, upperbound=4)
qp.maximize(quadratic={("x", "y"): 1})
qp.linear_constraint({"x": 1, "y": -1}, "<=", 0)
print(qp.prettyprint())
from qiskit_optimizati... |
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/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/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | %matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
from qiskit import Aer
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import QGAN
np.random.seed(2020)
N = 1000
real_data = np.random.binomial(3,0.5,N)
plt.hist(real_data, bins = 4);
n = 2
num_qubits = [n]
num_e... |
https://github.com/crabster/qiskit-learning | crabster | import qiskit
from math import pi
from random import random
def random_state_gate():
theta = 2*pi*random()
phi = 2*pi*random()
lam = 2*pi*random()
qc = qiskit.QuantumCircuit(1)
qc.u3(theta, phi, lam, 0)
gate = qc.to_gate()
gate.name = f"$U_3$ {theta:.2f},{phi:.2f},{lam:.2f}"
... |
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | |
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/khalilguy/QiskitHackathon | khalilguy |
# 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 *
import qiskit
# Loading your IBM Q account(s)
provider = IBMQ.load_account()
... |
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/ionq-samples/qiskit-getting-started | ionq-samples | #import Aer here, before calling qiskit_ionq_provider
from qiskit import Aer
from qiskit_ionq import IonQProvider
#Call provider and set token value
provider = IonQProvider(token='my token')
provider.backends()
from qiskit import *
#import qiskit.aqua as aqua
#from qiskit.quantum_info import Pauli
#fr... |
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 sklearn.datasets import make_blobs
# example dataset
features, labels = make_blobs(n_samples=20, n_features=2, centers=2, random_state=3, shuffle=True)
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
features = MinMaxScaler(featur... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# 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/hritiksauw199/Optimized-Shor-Algorithm-for-factoring | hritiksauw199 | import matplotlib.pyplot as plt
import numpy as np
from qiskit import IBMQ, QuantumCircuit, Aer, transpile, assemble
from qiskit.visualization import plot_histogram
from math import gcd
from numpy.random import randint
import pandas as pd
from qiskit.providers.ibmq import least_busy
from fractions import Fracti... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | from qiskit import QuantumCircuit
import numpy as np
import random
from qiskit import Aer, execute
from math import log2, ceil, pi
circ = QuantumCircuit(8)
simulator = Aer.get_backend('statevector_simulator')
def disp_isv(circ, msg="", all=True, precision=1e-8):
sim_res = execute(circ, simulator).result(... |
https://github.com/MonitSharma/Qiskit-Summer-School-and-Quantum-Challenges | MonitSharma | !pip install -U -r grading_tools/requirements.txt
from IPython.display import clear_output
clear_output()
import numpy as np; pi = np.pi
from qiskit import QuantumCircuit, Aer, execute
from qiskit.visualization import plot_histogram
from copy import deepcopy as make_copy
def prepare_hets_circuit(depth, ang... |
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
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])
qc.draw('mpl') |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import pulse
from qiskit.providers.fake_provider import FakeArmonk
backend = FakeArmonk()
with pulse.build(backend) as drive_sched:
d0 = pulse.drive_channel(0)
a0 = pulse.acquire_channel(0)
pulse.play(pulse.library.Constant(10, 1.0), d0)
pulse.delay(20, d0)
pulse.shift_phas... |
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/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/Tojarieh97/VQE | Tojarieh97 | import numpy as np
from qiskit.opflow import X, Z, I
a_1 = np.random.random_sample()
a_2 = np.random.random_sample()
J_21 = np.random.random_sample()
transverse_ising_2_qubits = a_1*(I^X) + a_2*(X^I) + J_21*(Z^Z)
print("========== Transverse Ising Model Hamiltonian for Two Qubits ==========\n")
print(trans... |
https://github.com/usamisaori/Grover | usamisaori | import qiskit
from qiskit import QuantumCircuit
from qiskit.visualization import plot_histogram
import numpy as np
from qiskit import execute, Aer
simulator = Aer.get_backend('qasm_simulator')
import matplotlib.pyplot as plt
import warnings
warnings.filterwarnings('ignore')
from qiskit.quantum_info... |
https://github.com/indian-institute-of-science-qc/qiskit-aakash | indian-institute-of-science-qc | from qiskit import *
import numpy as np
%matplotlib inline
qc = QuantumCircuit(1,1)
qc.s(0)
qc.measure(0,0,basis='X')
backend = BasicAer.get_backend('dm_simulator')
run = execute(qc,backend)
result = run.result()
result['results'][0]['data']['densitymatrix']
qc1 = QuantumCircuit(1,1)
qc1.s(0)
qc1.measur... |
https://github.com/carstenblank/dc-qiskit-qml | carstenblank | # -*- coding: utf-8 -*-
# Copyright 2018 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 app... |
https://github.com/TRSasasusu/qiskit-quantum-zoo | TRSasasusu | # -*- coding: utf-8 -*-
# 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.... |
https://github.com/hephaex/Quantum-Computing-Awesome-List | hephaex | from qiskit import QuantumCircuit, execute, Aer
from qiskit.visualization import plot_histogram, plot_bloch_vector
from math import sqrt, pi
%config InlineBackend.figure_format = 'svg' # Makes the images look nice
qc = QuantumCircuit(1)
initial_state = [0,1]
qc.initialize(initial_state, 0)
qc.draw()
b... |
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 | # 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/hidemita/QiskitExamples | hidemita | # Useful additional packages
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
import math
import random
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.tools.visualization import circuit_drawer
from qiskit import BasicAer, Aer
qc = QuantumCir... |
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/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_nature.mappers.second_quantization import LogarithmicMapper
mapper = LogarithmicMapper(2)
from qiskit_nature.second_q.mappers import LogarithmicMapper
mapper = LogarithmicMapper(2)
from qiskit_nature.second_q.mappers import LogarithmicMapper
mapper = LogarithmicMapper(padding=2)
from qiski... |
https://github.com/hephaex/Quantum-Computing-Awesome-List | hephaex | import cirq
## Data qubit and target qubit
q0, q1 = cirq.LineQubit.range(2)
## Dictionary of oracles
oracles = {'0' : [], '1' : [cirq.X(q1)], 'x' : [cirq.CNOT(q0, q1)], 'notx' : [cirq.CNOT(q0, q1), cirq.X(q1)]}
def deutsch_algorithm(oracle):
## Yield a circuit for Deustch algorithm given operations impl... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # If you introduce a list with less colors than bars, the color of the bars will
# alternate following the sequence from the list.
import numpy as np
from qiskit.quantum_info import DensityMatrix
from qiskit import QuantumCircuit
from qiskit.visualization import plot_state_paulivec
qc = QuantumCircuit(2)
qc.... |
https://github.com/ranaarp/Qiskit-Meetup-content | ranaarp | #initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
# import basic plot tools
from qiskit.tools.... |
https://github.com/magn5452/QiskitQaoa | magn5452 | from abc import abstractmethod, ABC
from qiskit import Aer
from qiskit.algorithms import NumPyMinimumEigensolver, QAOA
from qiskit.algorithms.optimizers import optimizer, COBYLA
from qiskit_optimization.algorithms import MinimumEigenOptimizer
from qiskit_optimization.problems import quadratic_program
class ... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
import matplotlib.pyplot as plt
from qiskit import QuantumRegister, QuantumCircuit
from qiskit.circuit.library import IntegerComparator
from qiskit.algorithms import IterativeAmplitudeEstimation, EstimationProblem
from qiskit_aer.primitives import Sampler
# set problem parameters
n_z = 2
... |
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/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | print("Hello! I'm a code cell")
print('Set up started...')
%matplotlib notebook
import sys
sys.path.append('game_engines')
import hello_quantum
print('Set up complete!')
initialize = []
success_condition = {}
allowed_gates = {'0': {'NOT': 3}, '1': {}, 'both': {}}
vi = [[1], False, False]
qubit_names = {'... |
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/Juan-Varela11/BNL_2020_Summer_Internship | Juan-Varela11 | # Importing useful packages
import sys
import time
import numpy as np
import pandas as pd
import seaborn as sns
from tabulate import tabulate
import matplotlib.pyplot as plt
# Importing QISKit
from qiskit import Aer, execute, BasicAer
from qiskit.aqua.components.initial_states import Zero
from qiskit.aqua.... |
https://github.com/JayRGopal/Quantum-Error-Correction | JayRGopal | !pip install qiskit -q
from qiskit import *
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
secretnumber = '0110110110101011110100101010101001'
circuit = QuantumCircuit(len(secretnumber)+1, len(secretnumber))
circuit.h(range(len(secretnumber)))
circuit.x(len(secretnumber))
cir... |
https://github.com/ElePT/qiskit-algorithms-test | ElePT | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021, 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/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/feedback | Qiskit | import sys
!git checkout 44bfc66a8aef1baf6794ab43ea9c73e5be34ce8e && {sys.executable} -m pip install -e . > /dev/null
import numpy as np
from qiskit import Aer
from qiskit.utils import QuantumInstance
from qiskit_machine_learning.algorithms.classifiers import VQC
features = np.random.rand(20, 2)
target = [0... |
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/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | import numpy as np
zero_ket = np.array([[1], [0]])
print("|0> ket:\n", zero_ket)
print("<0| bra:\n", zero_ket.T.conj())
zero_ket.T.conj().dot(zero_ket)
one_ket = np.array([[0], [1]])
zero_ket.T.conj().dot(one_ket)
zero_ket.dot(zero_ket.T.conj())
ψ = np.array([[1], [1]])/np.sqrt(2)
Π_0 = zero_ket.dot(ze... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import transpile
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_basis = transpile(qc, backend)
qc_basis.draw(output='mpl') |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | from qiskit import Aer
from qiskit.circuit.library import TwoLocal
from qiskit.aqua import QuantumInstance
from qiskit.finance.applications.ising import portfolio
from qiskit.optimization.applications.ising.common import sample_most_likely
from qiskit.finance.data_providers import RandomDataProvider
from qiskit.a... |
https://github.com/steffencruz/FockWits | steffencruz | import sys
sys.path.append("/home/artix41/Toronto/qiskit-terra/")
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import Aer, execute
import numpy as np
import matplotlib.pyplot as plt
from CVCircuit import CVCircuit
def bose_hubard(n_layers=2, J=1, U=0.1, t=0):
# ===... |
https://github.com/lynnlangit/learning-quantum | lynnlangit | #@title 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distribute... |
https://github.com/zapata-engineering/orquestra-qiskit | zapata-engineering | ################################################################################
# © Copyright 2021-2022 Zapata Computing Inc.
################################################################################
"""Translations between Qiskit parameter expressions and intermediate expression trees.
"""
import operator... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub="ibm-q", group="open", project="main")
program_id = "qaoa"
qaoa_program = provider.runtime.program(program_id)
print(f"Program name: {qaoa_program.name}, Program id: {qaoa_program.program_id}")
print(qaoa_program.parameters())
... |
https://github.com/BOBO1997/osp_solutions | BOBO1997 | # -*- coding: utf-8 -*-
# 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.... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# 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/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit
# https://quantum-circuit.com/app_details/about/LFQv9PKwerh3EzrLw
# searched oracle element is '0010'
qc = QuantumCircuit()
q = QuantumRegister(4, 'q')
ro = ClassicalRegister(4, 'ro')
qc.add_register(q)
qc.add_regist... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # This code is part of Qiskit.
#
# (C) Copyright IBM 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 deriv... |
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/AbeerVaishnav13/Quantum-Programs | AbeerVaishnav13 | from qiskit.quantum_info import Operator
from qiskit import QuantumCircuit, Aer, execute
import numpy as np
from qiskit.visualization import plot_state_qsphere
def phase_oracle(n, indices_to_mark, name = 'Oracle'):
# create a qAertum circuit on n qubits
qc = QuantumCircuit(n, name=name)
###... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_optimization.algorithms import MinimumEigenOptimizer
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.applications.... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import GroverOptimizer, MinimumEigenOptimizer
from qiskit_optimization.translators import from_docplex_mp
from docplex.mp.model import Model
model = Model()
x0 = m... |
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/BOBO1997/osp_solutions | BOBO1997 | # -*- coding: utf-8 -*-
# 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.... |
https://github.com/AmanSinghBhogal/NasaNEO_Classification | AmanSinghBhogal | # pip install qiskit
# pip install qiskit.Aer
import pandas as pd
from sklearn.model_selection import train_test_split
from qiskit import QuantumCircuit, execute, Aer
from qiskit import ClassicalRegister, QuantumRegister
from qiskit.visualization import plot_histogram
import matplotlib.pyplot as plt
from ma... |
https://github.com/qiskit-community/qiskit-jku-provider | qiskit-community | # -*- coding: utf-8 -*-
# Copyright 2018, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""
Exception for errors raised by JKU simulator.
"""
from qiskit import QiskitError
class JKUSimulatorErr... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
import numpy as np
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAmplitudes
from qiskit.primitives import Sampler
from qiskit.utils import algorithm_globals
from sklearn.model_selection import train_test_split
from sklearn.preprocessing imp... |
https://github.com/hephaex/Quantum-Computing-Awesome-List | hephaex | import cirq
## Function for visualizing output
def bitstring(bits):
return ''.join('1' if e else '0' for e in bits)
## Create two quantum and classical registers
qreg = [cirq.LineQubit(x) for x in range(2)]
circuit = cirq.Circuit()
message = {"00" : [],
"10" : [cirq.X(qreg[0])],
"... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit import QuantumCircuit
qc1 = QuantumCircuit(3)
qc1.cx(1, 0)
qc1.cx(0, 1)
qc1.cz(1, 2)
qc1.cx(0, 1)
qc1.cx(1, 0)
qc1.draw("mpl")
iswap_sub = QuantumCircuit(2)
iswap_sub.h(0)
iswap_sub.sdg(0)
iswap_sub.sdg(1)
iswap_sub.iswap(0, 1)
iswap_sub.h(1)
iswap_sub.draw("mpl")
qc1 = QuantumCircuit(3... |
https://github.com/mmetcalf14/Hamiltonian_Downfolding_IBM | mmetcalf14 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 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.
#
#... |
https://github.com/peiyong-addwater/Hackathon-QNLP | peiyong-addwater | import collections
import pickle
import warnings
warnings.filterwarnings("ignore")
import os
from random import shuffle
import random
from discopy.tensor import Tensor
from discopy import Word
from discopy.rigid import Functor
from discopy import grammar
import seaborn as sns
import pandas as pd
import mat... |
https://github.com/2lambda123/Qiskit-qiskit | 2lambda123 | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2020.
#
# 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-train/qiskit__qiskit | swe-train | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, execute
from qiskit import Aer
import numpy as np
import sys
N=int(sys.argv[1])
filename = sys.argv[2]
backend = Aer.get_backend('unitary_simulator')
def GHZ(n):
if n<=0:
return None
circ = QuantumCir... |
https://github.com/QPower-Research/QPowerAlgo | QPower-Research | import cirq
import numpy as np
from qiskit import QuantumCircuit, execute, Aer
import seaborn as sns
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (15,10)
q0, q1, q2 = [cirq.LineQubit(i) for i in range(3)]
circuit = cirq.Circuit()
#entagling the 2 quibits in different laboratories
#and p... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | input_3sat_instance = '''
c example DIMACS-CNF 3-SAT
p cnf 3 5
-1 -2 -3 0
1 -2 3 0
1 2 -3 0
1 -2 -3 0
-1 2 3 0
'''
import os
import tempfile
from qiskit.exceptions import MissingOptionalLibraryError
from qiskit.circuit.library.phase_oracle import PhaseOracle
fp = tempfile.NamedTemporaryFile(mode='w+t... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
qc = QuantumCircuit(1, 1)
qc.h(0)
qc.measure(0,0)
qc.x(0).c_if(0, 0)
qc.draw(output='mpl')
from qiskit import QuantumRegister, ClassicalRegister
q = QuantumRegister(3, 'q')
c = ClassicalRegister(3, 'c')
qc = QuantumCircuit(q, c)
qc.h([0, 1, 2])
qc.barrier()
qc.measu... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
from IPython import display
#Import Qiskit classes
import qiskit
import qiskit_experiments as qe
rb = qe.randomized_benchmarking
from scipy.optimize import curve_fit
# import the bayesian packages
import ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
# Create a circuit with a register of three qubits
circ = QuantumCircuit(3)
# H gate on qubit 0, putting this qubit in a superposition of |0> + |1>.
circ.h(0)
# A CX (CNOT) gate on control qubit 0 and target qubit 1 generating a Bell state.
circ.cx(0, 1)
# CX (CNOT) gate on cont... |
https://github.com/Hayatto9217/Qiskit2 | Hayatto9217 | import matplotlib.pyplot as plt
import numpy as np
from math import pi
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, transpile
from qiskit.tools.visualization import circuit_drawer
from qiskit.quantum_info import state_fidelity
from qiskit import BasicAer
backend = BasicAer.get_backe... |
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/noamsgl/IBMAscolaChallenge | noamsgl | from qiskit import IBMQ
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.device import thermal_relaxation_values, gate_param_values
from qiskit.providers.aer.noise.noiseerror import NoiseError
provider = IBMQ.load_account()
print("Available Backends: ", provider.backends())
fo... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_aer.utils import approximate_quantum_error, approximate_noise_model
import numpy as np
# Import Aer QuantumError functions that will be used
from qiskit_aer.noise import amplitude_damping_error, reset_error, pauli_error
from qiskit.quantum_info import Kraus
gamma = 0.23
error = amplitude_dampi... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2020.
#
# 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/ronitd2002/IBM-Quantum-challenge-2024 | ronitd2002 | # transpile_parallel.py
from qiskit import QuantumCircuit
from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
from qiskit_transpiler_service.transpiler_service import TranspilerService
from qiskit_serverless import get_arguments, save_result, distribute_task, get
from qiskit_ibm_runtim... |
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/mentesniker/Quantum-Cryptography | mentesniker | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from random import randint
import hashlib
#These two functions were taken from https://stackoverflow.com/questions/1023... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
from qiskit import QuantumCircuit, transpile
from qiskit.providers.fake_provider import FakeAuckland
backend = FakeAuckland()
ghz = QuantumCircuit(15)
ghz.h(0)
ghz.cx(0, range(1, 15))
depths = []
for _ in range(100):
depths.append(
transpile(
ghz,
... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | import numpy as np
def gcd(a, b):
r = 1
while r != 0:
r = a%b
if r == 0:
break
a = b
b = r
return b
print(gcd(630, 56))
N = 20
a = 7
r_vals = np.arange(2, N)
a_power_r = np.power(a, r_vals)
print(a_power_r)
a_r_mod_N = a_power_r%N
... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | from datasets import *
from qiskit import Aer
from qiskit_aqua.utils import split_dataset_to_data_and_labels, map_label_to_class_name
from qiskit_aqua import run_algorithm, QuantumInstance
from qiskit_aqua.input import SVMInput
from qiskit_aqua.components.feature_maps import SecondOrderExpansion
from qiskit_aqua.... |
https://github.com/jatin-47/QGSS-2021 | jatin-47 | import networkx as nx
import numpy as np
import plotly.graph_objects as go
import matplotlib as mpl
import pandas as pd
from IPython.display import clear_output
from plotly.subplots import make_subplots
from matplotlib import pyplot as plt
from qiskit import Aer
from qiskit import QuantumCircuit
from qiskit.v... |
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