repo stringclasses 885
values | file stringclasses 741
values | content stringlengths 4 215k |
|---|---|---|
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | %run init.ipynb
S = Matrix([[1,0],[0,1j]]); Sd = Matrix([[1,0],[0,-1j]]); H = (1/sqrt(2))*Matrix([[1,1],[1,-1]])#; S, H
S*H*S
from qiskit import *
def qc_mzi_sim(ph): # quantum circuit for the Mach-Zehnder interferometer
qr = QuantumRegister(1); qc = QuantumCircuit(qr)
qc.u(math.pi/2, math.pi/2, -ma... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile
ghz = QuantumCircuit(15)
ghz.h(0)
ghz.cx(0, range(1, 15))
ghz.draw(output='mpl') |
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/Shashankaubaru/NISQ-TDA | Shashankaubaru | # noqa: E501,E402,E401,E128
# flake8 disable errors
# -*- coding: utf-8 -*-
# Copyright 2018 IBM.
#
# 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/lice... |
https://github.com/2lambda123/Qiskit-qiskit | 2lambda123 | # 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/indian-institute-of-science-qc/qiskit-aakash | indian-institute-of-science-qc | from qiskit import Aer, IBMQ, execute
from qiskit import transpile, assemble
from qiskit.tools.monitor import job_monitor
from qiskit.tools.monitor import job_monitor
import matplotlib.pyplot as plt
from qiskit.visualization import plot_histogram, plot_state_city
"""
Qiskit backends to execute the quantum circ... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # 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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import execute, pulse
d0 = pulse.DriveChannel(0)
with pulse.build() as pulse_prog:
pulse.play(pulse.Constant(100, 1.0), d0)
pulse_prog.draw() |
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, 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/qclib/qclib | qclib | # Copyright 2021 qclib project.
# 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 to in w... |
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 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))
new_circ_lv0 = transpile(ghz, bac... |
https://github.com/qonwaygameoflife/qonwaygameoflife | qonwaygameoflife | import numpy as np
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import Aer, execute
from qiskit.tools.qi.qi import partial_trace
def liveliness(nhood):
v=nhood
a = v[0][0][0]+v[0][1][0]+v[0][2][0]+v[1][0][0]+v[1][2][0]+v[2][0][0]+v[2][1][0]+v[2][2][0]
return a... |
https://github.com/QuSTaR/kaleidoscope | QuSTaR | # -*- coding: utf-8 -*-
# This code is part of Kaleidoscope.
#
# (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.... |
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | |
https://github.com/qiskit-community/community.qiskit.org | qiskit-community | #Import general libraries (needed for functions)
import numpy as np
import matplotlib.pyplot as plt
#Import Qiskit classes classes
import qiskit
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors.standard_errors import depolarizing_error, thermal_relaxation_error
#Import... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Operator
from qiskit.transpiler.passes import UnitarySynthesis
circuit = QuantumCircuit(1)
circuit.rx(0.8, 0)
unitary = Operator(circuit).data
unitary_circ = QuantumCircuit(1)
unitary_circ.unitary(unitary, [0])
synth = UnitarySynthesis(basi... |
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/minnukota381/Quantum-Computing-Qiskit | minnukota381 | %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/0xCAB0/shor_algorithm | 0xCAB0 | from qiskit import QuantumCircuit, Aer, execute, IBMQ
from qiskit.utils import QuantumInstance
import numpy as np
from qiskit.algorithms import Shor
IBMQ.enable_account('ENTER API TOKEN HERE') # Enter your API token here
provider = IBMQ.get_provider(hub='ibm-q')
backend = Aer.get_backend('qasm_simulator')
qu... |
https://github.com/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/Ilan-Bondarevsky/qiskit_algorithm | Ilan-Bondarevsky | import sys
sys.path.insert(0, "D:/myProjects/AfekaCodeProjects/codeProjects/FinalProject_qiskit/qiskit_algorithm/qft_results.ipynb")
from shor_algorithm.shor_algo_adder_method import qft_dagger, qft, set_start_state
import numpy as np
import matplotlib.pyplot as plt
from qiskit import BasicAer, execute
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import pulse
with pulse.build(name='my_example') as my_program:
# Add instructions here
pass
my_program
from qiskit.pulse import DriveChannel
channel = DriveChannel(0)
from qiskit.providers.fake_provider import FakeValencia
backend = FakeValencia()
with pulse.build(backend=bac... |
https://github.com/codigoscupom/QuantumAlgs | codigoscupom | # -*- 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 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/jacobfeder/quantum_cadets | jacobfeder | import numpy as np
import matplotlib.pyplot as plt
from scipy import signal
from qiskit import *
from qiskit.circuit import ControlledGate, Gate, Instruction, Qubit, QuantumRegister, QuantumCircuit
from qiskit.visualization import plot_histogram
from qiskit.circuit.library.standard_gates import C4XGate, TGate, XG... |
https://github.com/mlvqc/Byskit | mlvqc | from qiskit.tools.jupyter import *
from qiskit import IBMQ
IBMQ.load_account()
#provider = IBMQ.get_provider(hub='ibm-q', group='open', project='main')
provider = IBMQ.get_provider(hub='ibm-q-oxford', group='on-boarding', project='on-boarding-proj')
from qiskit import QuantumRegister, ClassicalRegister
from q... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.quantum_info import SparsePauliOp
H2_op = SparsePauliOp.from_list(
[
("II", -1.052373245772859),
("IZ", 0.39793742484318045),
("ZI", -0.39793742484318045),
("ZZ", -0.01128010425623538),
("XX", 0.18093119978423156),
]
)
print(f"Number of qubits: {... |
https://github.com/victor-onofre/Quantum_Algorithms | victor-onofre | import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
from scipy.optimize import minimize
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer
style = {'backgroundcolor': 'lightyellow'} # Style of the drawing of the quantum circuit
Graph_Example_1 = nx.Graph(... |
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_nature.drivers.second_quantization import GaussianForcesDriver
from qiskit_nature.problems.second_quantization import VibrationalStructureProblem
from qiskit_nature.settings import settings
settings.dict_aux_operators = True
driver = GaussianForcesDriver(logfile="aux_files/CO2_freq_B3LYP_631g.log")
... |
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/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | #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/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/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/qiskit-community/qiskit-translations-staging | qiskit-community | # External imports
from pylab import cm
from sklearn import metrics
import numpy as np
import matplotlib.pyplot as plt
# Qiskit imports
from qiskit import QuantumCircuit
from qiskit.circuit import ParameterVector
from qiskit.visualization import circuit_drawer
from qiskit.algorithms.optimizers import SPSA
f... |
https://github.com/bibscore/qiskit_kindergarten | bibscore | import os
from qiskit import *
import qiskit.tools.visualization as qt
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi
import matplotlib.pyplot as plt
%matplotlib inline
qreg_q = QuantumRegister(3, 'q')
creg_c = ClassicalRegister(3, 'c')
circuit = QuantumCircuit(q... |
https://github.com/AlphaMiyaL/Qiskit-Quantum-Journey | AlphaMiyaL | import qiskit
qiskit.__qiskit_version__
from qiskit import IBMQ
IBMQ.save_account('d3d29913a9b505c699f877ab1ade9d7729ee46bf49670047e44a106ff692c5efec8ff03873c1fe6f1d4e76e090e6177ab37bd7c5beb08c2fa1096316c0dc1006')
IBMQ.load_account()
|
https://github.com/muehlhausen/vqls-bachelor-thesis | muehlhausen | # all libraries used by some part of the VQLS-implementation
from qiskit import (
QuantumCircuit, QuantumRegister, ClassicalRegister,
Aer, execute, transpile, assemble
)
from qiskit.circuit import Gate, Instruction
from qiskit.quantum_info.operators import Operator
from qiskit.extensions import ZGate... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.timeline import draw
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/derivation/ThinkQuantum | derivation | import numpy as np
from numpy import pi
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
filename = './schrodin_yang.png'
im = mpimg.imread(filename)
fig, ax = plt.subplots()
ax.imshow(im)
from skimage.transform import resize
n_pixels = 2**5
im = resize(im, (n_pixels, n_pixels))
fig, a... |
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/tuf65651/quantum-research | tuf65651 | #!/usr/bin/env python
# coding: utf-8
# In[13]:
get_ipython().run_line_magic('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 q... |
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | import sympy
from sympy import *
import numpy as np
from numpy import random
import math
import scipy
init_printing(use_unicode=True)
from matplotlib import pyplot as plt
%matplotlib inline
from sympy.physics.quantum.dagger import Dagger
from sympy.physics.quantum import TensorProduct as tp
from mpmath impor... |
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/qclib/qclib | qclib | # Copyright 2021 qclib project.
# 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 to in w... |
https://github.com/joe5218/Quantum-Distortions | joe5218 | from qiskit import IBMQ, QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute, QuantumRegister
from qiskit.qasm import pi
from qiskit.tools.visualization import plot_histogram, circuit_drawer
from qiskit import execute, Aer, BasicAer
import numpy as np
import random
import keras
from ke... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | """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/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/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | import qiskit
qiskit.__qiskit_version__
from math import pi
import numpy as np
import scipy as sp
import matplotlib.pyplot as plt
%matplotlib inline
# importing Qiskit
from qiskit import BasicAer, IBMQ
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute
from q... |
https://github.com/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/2lambda123/Qiskit-qiskit | 2lambda123 | # -*- 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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.pulse_v2 import draw
from qiskit.providers.fake_provider import FakeBoeblingen
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc.measure_all()
qc = transpile(qc, FakeBoeblingen(), layout_method='trivial')
sched = schedule(qc, FakeBoe... |
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/AbeerVaishnav13/Quantum-Programs | AbeerVaishnav13 | from qiskit import QuantumCircuit
alice_key = '11100100010001001001001000001111111110100100100100010010010001010100010100100100101011111110001010100010010001001010010010110010'
alice_bases = '11000110011000100001100101110000111010011001111111110100010111010100000100011001101010100001010010101011010001011001110011... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.circuit.quantumcircuitdata import CircuitInstruction
from qiskit.circuit import Measure
from qiskit.circuit.library import HGate, CXGate
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
instructions = [
CircuitInstruction(... |
https://github.com/2lambda123/Qiskit-qiskit | 2lambda123 | # 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/mmetcalf14/Hamiltonian_Downfolding_IBM | mmetcalf14 | # -*- 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/2lambda123/Qiskit-qiskit | 2lambda123 | # This code is part of Qiskit.
#
# (C) Copyright IBM 2023, 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/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
from qiskit.circuit.library.standard_gates import RXGate, RZGate, RYGate, CXGate, CZGate, SGate, HGate
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
import numpy as np
def get_linear_entangelment_ansatz(num_of_qubits, thetas, input_state, circuit_dep... |
https://github.com/IceKhan13/purplecaffeine | IceKhan13 | import os
from qiskit.circuit.random import random_circuit
from qiskit.quantum_info.random import random_pauli
from qiskit.primitives import Estimator
from purplecaffeine.core import Trial, LocalStorage
n_qubits = 4
depth = 3
shots = 2000
circuit = random_circuit(n_qubits, depth)
circuit.draw(fold=-1)
... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | import torch
from qiskit.utils import algorithm_globals
algorithm_globals.random_seed = 123456
_ = torch.manual_seed(123456) # suppress output
import numpy as np
num_dim = 2
num_discrete_values = 8
num_qubits = num_dim * int(np.log2(num_discrete_values))
from scipy.stats import multivariate_normal
c... |
https://github.com/yaleqc/vqe-error-mitigation | yaleqc | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
min_qubits=4
max_qubits=15 #reference files are upto 12 Qubits only
skip_qubits=2
max_circuits=3
num_shots=4092
gate_counts_plots = True
Noise_Inclusion = False
saveplots = False... |
https://github.com/nahumsa/Introduction-to-IBM_Qiskit | nahumsa | import scipy as sp
import numpy as np
import matplotlib.pyplot as plt
import qiskit
from qiskit import QuantumCircuit, transpile, Aer, IBMQ
from qiskit.providers.aer.noise import NoiseModel
from qiskit.utils import QuantumInstance
# Loading your IBM Q account(s)
provider = IBMQ.load_account()
def run_obs... |
https://github.com/Qiskit/qiskit-neko | Qiskit | # This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
#
# 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/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | from IPython.display import YouTubeVideo
YouTubeVideo('BYKc2RnQMqo', width=858, height=540)
!pip install qiskit --quiet
!pip install qiskit-aer --quiet
!pip install pylatexenc --quiet
# @markdown ### **1. Import `Qiskit` and essential packages** { display-mode: "form" }
from qiskit import QuantumCircuit, tran... |
https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
from qiskit import *
from qiskit.tools.visualization import plot_histogram
from IPython.display import display, Math, Latex
def Decrement(n):
U = QuantumCircuit(n)
control = [x for x in range(n-1)]
for k in range(n-1):
... |
https://github.com/quantumyatra/quantum_computing | quantumyatra | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.visualization import plot_histogram, plot_bloch_multivector
import numpy as np
import pylab as plt
def NOT(input_bit):
# initialize the QC
q = QuantumRegister(1)
c = ... |
https://github.com/abbarreto/qiskit3 | abbarreto | %run init.ipynb
# tem algum problema com a funcao produto tensorial do sympy (implementar eu mesmo ...)
k000 = Matrix([1,0,0,0,0,0,0,0]); k001 = Matrix([0,1,0,0,0,0,0,0])
k010 = Matrix([0,0,1,0,0,0,0,0]); k011 = Matrix([0,0,0,1,0,0,0,0])
k100 = Matrix([0,0,0,0,1,0,0,0]); k101 = Matrix([0,0,0,0,0,1,0,0])
k110 = M... |
https://github.com/mcoggins96/Quantum-Computing-UK-Repository | mcoggins96 | from qiskit import IBMQ
from qiskit.aqua.algorithms import Grover
from qiskit.aqua.components.oracles import TruthTableOracle
IBMQ.enable_account('ENTER API KEY HERE')
provider = IBMQ.get_provider(hub='ibm-q')
backend = provider.get_backend('ibmq_qasm_simulator')
expression = '11000001'
oracle = TruthTab... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.circuit.library import iSwapGate
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.utilities import SubsMetric
from mirror_gat... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import logging
from itertools import product
import networkx as nx
import matplotlib.pyplot as plt
from qiskit import IBMQ, QuantumCircuit, execute, transpile
from qiskit.test.mock import FakeMumbai as FakeDevice
from qiskit.providers.aer.noise import NoiseModel
from qiskit.visualization import plot_histogr... |
https://github.com/jdanielescanez/quantum-solver | jdanielescanez | #!/usr/bin/env python3
# Author: Daniel Escanez-Exposito
from crypto.six_state.participant import Participant
from qiskit import QuantumCircuit
## The Sender entity in the Six-State implementation
## @see https://qiskit.org/textbook/ch-algorithms/quantum-key-distribution.html
class Sender(Participant):
#... |
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/NesyaLab/qaoa | NesyaLab | import warnings
warnings.filterwarnings('ignore')
import os
path = os.getcwd()
os.chdir(os.path.dirname(path))
from classes import Problems
instance = Problems.Problems(verbose=True)
instance.get_draw()
print(instance.G == instance.get_graph())
print(instance.get_graph())
print(instance.G.nod... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # 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/JessicaJohnBritto/Quantum-Computing-and-Information | JessicaJohnBritto | # 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/pedroripper/qiskit_tutoriais | pedroripper | # Importando módulos
from qiskit import *
from qiskit.tools.visualization import plot_histogram
# Inicializando o circuito
nQubits = 2
nBits = 2
circuitoQuantico = QuantumCircuit(nQubits, nBits)
# Para aplicar uma porta no circuito devemos seguir o seguinte exemplo onde aplicamos uma Hadamard Gate
circu... |
https://github.com/matheusmtta/Quantum-Machine-Learning | matheusmtta | import numpy as np
import pennylane as qml
from pennylane.optimize import NesterovMomentumOptimizer
n = 6
backend = qml.device("default.qubit", wires = n)
def layerBlock(wgt):
for q_i in range(n):
qml.Rot(wgt[q_i, 0], wgt[q_i, 1], wgt[q_i, 2], wires = q_i)
for q_i in range(n):
... |
https://github.com/goodrahstar/hello-quantum-world | goodrahstar | pip install pylatexenc
!pip install qiskit
from qiskit import IBMQ, Aer, QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.providers.ibmq import least_busy
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_histogram
# Create a Quantum Register called "qr... |
https://github.com/minnukota381/Quantum-Computing-Qiskit | minnukota381 | from qiskit import QuantumCircuit
qc = QuantumCircuit(1)
qc.x(0)
qc.y(0)
qc.draw('mpl')
from qiskit.visualization import visualize_transition
visualize_transition(qc) |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import execute, pulse
d0 = pulse.DriveChannel(0)
with pulse.build() as pulse_prog:
pulse.play(pulse.Constant(100, 1.0), d0)
pulse_prog.draw() |
https://github.com/rodneyosodo/variational-quantum-classifier-on-heartattack | rodneyosodo | # Basis encoding example with PennyLane
import pandas as pd
import pennylane as qml
from pennylane import numpy as np
# import the template
from pennylane.templates.layers import StronglyEntanglingLayers
from sklearn.utils import shuffle
from sklearn.preprocessing import normalize
from pennylane.templates.embed... |
https://github.com/jmamczynska/QiskitLabs | jmamczynska | from qiskit import *
from qiskit.visualization import plot_histogram
from qiskit.visualization import plot_state_qsphere, plot_bloch_vector
from qiskit.quantum_info import Statevector
import numpy as np
sim = Aer.get_backend('aer_simulator')
qr = QuantumRegister(3)
qc_3qx = QuantumCircuit(qr)
### your... |
https://github.com/a24l/IBM_Qiskit_QGSS | a24l | # General Imports
import numpy as np
# Visualisation Imports
import matplotlib.pyplot as plt
# Scikit Imports
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler,... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | from datasets import *
from qiskit_aqua.utils import split_dataset_to_data_and_labels, map_label_to_class_name
from qiskit import Aer
from qiskit_aqua.input import SVMInput
from qiskit_aqua import run_algorithm, QuantumInstance
from qiskit_aqua.algorithms import QSVMVariational
from qiskit_aqua.components.optimiz... |
https://github.com/alexyev/quantum_options_pricing | alexyev | #!pip install qiskit
#!pip install qiskit_finance
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
from qiskit import Aer, QuantumCircuit
from qiskit.utils import QuantumInstance
from qiskit.algorithms import IterativeAmplitudeEstimation, EstimationProblem
from qiskit.circuit.library ... |
https://github.com/Qubico-Hack/tutorials | Qubico-Hack | !pip install qiskit
!pip install qiskit-aer
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 impo... |
https://github.com/Qiskit/feedback | Qiskit | import numpy as np
from qiskit.providers.basicaer import BasicAer
from qiskit.utils import QuantumInstance
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import L_BFGS_B
from qiskit.opflow.gradients import Gradient
from qiskit_nature.algorithms import AdaptVQE, VQEUCCFactory
from qiskit_na... |
https://github.com/SaashaJoshi/IBM-Qiskit-Summer-School-2020 | SaashaJoshi | !pip install -U -r grading_tools/requirements.txt
from IPython.display import clear_output
clear_output()
# our backend is the Pulse Simulator
from resources import helper
from qiskit.providers.aer import PulseSimulator
backend_sim = PulseSimulator()
# sample duration for pulse instructions
dt = 1e-9
... |
https://github.com/mmetcalf14/Hamiltonian_Downfolding_IBM | mmetcalf14 | # -*- 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-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
#
# 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/Axect/QuantumAlgorithms | Axect | import qiskit
qiskit.__qiskit_version__
#initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.compiler import transpile
from qiski... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Operator
from qiskit.transpiler.passes import UnitarySynthesis
circuit = QuantumCircuit(1)
circuit.rx(0.8, 0)
unitary = Operator(circuit).data
unitary_circ = QuantumCircuit(1)
unitary_circ.unitary(unitary, [0])
synth = UnitarySynthesis(basi... |
https://github.com/GroenteLepel/qiskit-quantum-knn | GroenteLepel | # -*- 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/quantumjim/qreative | quantumjim | import sys
sys.path.append('../')
import CreativeQiskit
grid = CreativeQiskit.random_grid(5,4)
grid.neighbours( (2,2) )
grid_stats,grid_data = grid.get_samples(shots=3)
for sample in grid_stats:
print(grid_stats[sample],'shots returned the grid state\n')
print(sample,'\n')
for sample in grid_... |
https://github.com/1chooo/Quantum-Oracle | 1chooo | from qiskit import QuantumRegister, QuantumCircuit
qrx = QuantumRegister(3, 'x')
qry = QuantumRegister(1, 'y')
qc = QuantumCircuit(qrx, qry)
qc.cx(qrx[0], qry)
qc.draw("mpl") |
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... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.