repo stringclasses 885
values | file stringclasses 741
values | content stringlengths 4 215k |
|---|---|---|
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | from qiskit.optimization import QuadraticProgram
from qiskit.optimization.algorithms import MinimumEigenOptimizer
from dwave.plugins.qiskit import DWaveMinimumEigensolver
import numpy as np
A = np.array([[0,1,2,3,4,1],
[2,1,4,1,0,2],
[1,1,1,1,0,3],
[1,5,2,3,4,1]])
m, ... |
https://github.com/abbarreto/qiskit3 | abbarreto | |
https://github.com/tuf65651/quantum-research | tuf65651 | from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
backend = Aer.get_backend("qasm_simulator")
def ripple_carry_bits(circuit, control_bit, acc_reg, scratc... |
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/community.qiskit.org | qiskit-community | %matplotlib inline
import qiskit.pulse as pulse
import qiskit.pulse.pulse_lib as pulse_lib
from qiskit.compiler import assemble
import qiskit
qiskit.__qiskit_version__
from qiskit import IBMQ
IBMQ.load_account()
provider = IBMQ.get_provider(hub='your-hub-name') # change to your hub name
backend = provider.... |
https://github.com/Dpbm/scientific-research-1-quantum-oracles | Dpbm | %matplotlib inline
from qiskit import QuantumCircuit, transpile
from qiskit.visualization import plot_histogram, array_to_latex
from qiskit_aer import AerSimulator
from utils import get_image_path
def simulate(qc, backend=AerSimulator(), shots=1000):
transpiled_qc = transpile(qc, backend)
return backen... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
print(qiskit.__version__)
from qiskit.aqua.algorithms import Shor
from qiskit.aqua import QuantumInstance
import numpy as np
from qiskit import QuantumCircuit, Aer, execute
from qiskit.tools.visualization import plot_histogram
backend = Aer.get_backend('qasm_simulator')
quantum_instance = Quan... |
https://github.com/tuf65651/quantum-research | tuf65651 | %matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import math
# Loading yo... |
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/Chibikuri/qwopt | Chibikuri | from .ruleset import ruleset
from .converter import Converter
from qiskit import transpile
import sys
# FIXME out of pep write __init__.py
sys.path.append('../')
from compiler import parser
class Optimizer:
def __init__(self, graph, prob_dist):
pass
def optimize(self, qc, n_rules, conf... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_state_city
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
# plot using a Statevector
state = Statevector(qc)
plot_state_city(state) |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
circ = QuantumCircuit(2, 2)
circ.h(0)
circ.cx(0, 1)
circ.measure(0, 0)
circ.measure(1, 1)
circ.draw('mpl')
from qiskit import pulse
from qiskit.pulse.library import Gaussian
from qiskit.providers.fake_provider import FakeValencia
backend = FakeValencia()
with pulse... |
https://github.com/indian-institute-of-science-qc/qiskit-aakash | indian-institute-of-science-qc | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.providers.fake_provider import FakeManilaV2
from qiskit import transpile
from qiskit.tools.visualization import plot_histogram
# Get a fake backend from the fake provider
backend = FakeManilaV2()
# Create a simple circuit
circuit = QuantumCircuit(3)
circuit.h(... |
https://github.com/2lambda123/Qiskit-qiskit | 2lambda123 | # 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/C2QA/bosonic-qiskit | C2QA | # To use the package locally, add the C2QA repository's root folder to the path prior to importing c2qa.
import os
import sys
module_path = os.path.abspath(os.path.join("../.."))
if module_path not in sys.path:
sys.path.append(module_path)
import c2qa
import numpy as np
import qiskit
# Define Hamil... |
https://github.com/bayesian-randomized-benchmarking/qiskit-advocates-bayes-RB | bayesian-randomized-benchmarking | import numpy as np
import copy
import qiskit_experiments as qe
import qiskit.circuit.library as circuits
rb = qe.randomized_benchmarking
# for retrieving gate calibration
from datetime import datetime
import qiskit.providers.aer.noise.device as dv
# import the bayesian packages
import pymc3 as pm
import a... |
https://github.com/lancecarter03/QiskitLearning | lancecarter03 | from qiskit import *
from qiskit.tools.visualization import plot_histogram
circuit = QuantumCircuit(3,3)
circuit.draw(output="mpl")
circuit.x(0)
circuit.barrier()
circuit.draw(output="mpl")
circuit.h(1)
circuit.cx(1,2)
circuit.draw(output="mpl")
circuit.cx(0,1)
circuit.h(0)
circuit.draw(output="mpl"... |
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/ElePT/qiskit-algorithms-test | ElePT | # This code is part of Qiskit.
#
# (C) Copyright IBM 2023.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or deriv... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
# import matplotlib.pyplot as plt
%matplotlib inline
print(qiskit.__version__)
circuit = QuantumCircuit(2,2)
circuit.h(0)
circuit.cx(0,1)
circuit.measure([0,1],[0,1])
# circuit.measure_all()
circuit.barrier()
# circuit.draw(output='mpl')
circuit.draw(output='mpl')
s... |
https://github.com/kaelynj/Qiskit-HubbardModel | kaelynj | %matplotlib inline
import sys
sys.path.append('./src')
# 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 matplotlib.p... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Clifford, random_clifford
qc = QuantumCircuit(3)
cliff = random_clifford(2)
qc.append(cliff, [0, 1])
qc.ccx(0, 1, 2)
qc.draw('mpl') |
https://github.com/qiskit-community/community.qiskit.org | qiskit-community | import qiskit
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import Aer, execute
import math
import random
import numpy as np
from scipy.optimize import minimize
def apply_fixed_ansatz(qubits, parameters):
for iz in range (0, len(qubits)):
circ.ry(parameters[0... |
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/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, assemble, Aer, IBMQ, execute
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_bloch_multivector, plot_histogram
class DeutschJozsa:
'''
Class to generate a DeutschJozs... |
https://github.com/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import matplotlib.pyplot as plt
import itertools
from pprint import pprint
import pickle
import time
import datetime
# Import qubit states Zero (|0>) and One (|1>), and Pauli operators (X, Y, Z)
from qiskit.opflow import Zero, One, I, X, Y, Z
from qiskit import QuantumCircuit, QuantumRegis... |
https://github.com/joemoorhouse/quantum-mc | joemoorhouse | from qiskit import QuantumRegister, QuantumCircuit, Aer, execute
from qiskit.circuit.library import LinearAmplitudeFunction
from qiskit.aqua.algorithms import IterativeAmplitudeEstimation
import numpy as np
# define linear objective function
num_sum_qubits = 5
breakpoints = [0]
slopes = [1]
offsets = [0]
f_m... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | p = 0.2
import numpy as np
from qiskit.circuit import QuantumCircuit
class BernoulliA(QuantumCircuit):
"""A circuit representing the Bernoulli A operator."""
def __init__(self, probability):
super().__init__(1) # circuit on 1 qubit
theta_p = 2 * np.arcsin(np.sqrt(probability))
... |
https://github.com/C2QA/bosonic-qiskit | C2QA | import json
import logging
import numpy as np
import warnings
from functools import wraps
from typing import Any, Callable, Optional, Tuple, Union
from qiskit import IBMQ, QuantumCircuit, assemble
from qiskit.circuit import Barrier, Gate, Instruction, Measure
from qiskit.circuit.library import UGate, U3Ga... |
https://github.com/nahumsa/volta | nahumsa | def dswap_test_circuit(qc1: QuantumCircuit, qc2: QuantumCircuit) -> QuantumCircuit:
""" Construct the destructive SWAP test circuit given two circuits.
Args:
qc1(qiskit.QuantumCircuit): Quantum circuit for the
first state.
qc2(qiskit.QuantumCircuit): Quantum circuit for the
... |
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/TaiteHopkins/OracleCircuit | TaiteHopkins | #Dependency import
from qiskit import QuantumCircuit
from qiskit.visualization import plot_histogram
import math
from qiskit.visualization import array_to_latex
#Problem Statement:
#Creating an Oracle Circuit and Diffuser which inverts the phase for the state 110101
#Defining Unitary Display function for... |
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/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
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors.standard_errors import depolarizing_error, thermal_relaxa... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
# Import Qiskit
from qiskit import QuantumCircuit
from qiskit import Aer, transpile
from qiskit.tools.visualization import plot_histogram, plot_state_city
import qiskit.quantum_info as qi
Aer.backends()
simulator = Aer.get_backend('aer_simulator')
# Create circuit
circ = QuantumCircu... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | 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")
circ.draw(output='mpl') |
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/Juan-Varela11/BNL_2020_Summer_Internship | Juan-Varela11 | # Import useful packages
import os
import sys
import time
import pickle
import numpy as np
import pandas as pd
import seaborn as sns
from datetime import datetime
from tabulate import tabulate
import matplotlib.pyplot as plt
# Import QISKit
from qiskit import Aer, execute, BasicAer
from qiskit.aqua.compo... |
https://github.com/indian-institute-of-science-qc/qiskit-aakash | indian-institute-of-science-qc | # -*- 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/GabrielPontolillo/QiskitPBT | GabrielPontolillo | # class that inherits from property based test
from qiskit import QuantumCircuit
from QiskitPBT.property import Property
from QiskitPBT.input_generators.random_unitary import RandomUnitary
from QiskitPBT.case_studies.quantum_fourier_transform.quantum_fourier_transform import qft_general
class IdentityProperty(... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | from qsvm_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.input import SVMInput
from qiskit_aqua import run_algorithm, QuantumInstance
from qiskit_aqua.algorithms import QSVMKernel
from qiskit_aqua.components.featu... |
https://github.com/Qiskit/qiskit-transpiler-service | Qiskit | # Install the plugin
# !pip install -e .
from qiskit import QuantumCircuit
from qiskit.transpiler import PassManager
from qiskit_transpiler_service.ai.collection import CollectPermutations
from qiskit_transpiler_service.ai.synthesis import AIPermutationSynthesis
from qiskit.circuit.library import Permutation
... |
https://github.com/JohnBurke4/qaoa_testing_framework | JohnBurke4 | from Image_Reader import ImageReader
from DCT_Classic import DCT
import Quantum_Subroutines
import os
import Image_Compression
import cv2
import matplotlib.pyplot as plt
import numpy as np
from qiskit import QuantumCircuit, Aer, transpile
from qiskit_aer.backends.aerbackend import AerBackend
from qiskit.provi... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import QuantumCircuit, transpile
from qiskit.quantum_info import Kraus, SuperOp
from qiskit_aer import AerSimulator
from qiskit.tools.visualization import plot_histogram
# Import from Qiskit Aer noise module
from qiskit_aer.noise import (NoiseModel, QuantumError, ReadoutError,
... |
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/C2QA/bosonic-qiskit | C2QA | # Copyright 2022-2023 Ohad Lev.
# 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,
# or in the root directory of this package("LICE... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | from qiskit import ClassicalRegister, QuantumRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
from qiskit.providers.basic_provider import BasicProvider # instead of BasicAer
import Our_Qiskit_Functions as oq
import numpy as np
import math as... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_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/swe-train/qiskit__qiskit | swe-train | # 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/lockwo/Paper-Review | lockwo | from qiskit import Aer, IBMQ
from qiskit.utils import QuantumInstance
from qiskit.transpiler import PassManager
from qiskit.transpiler.passes.calibration import RZXCalibrationBuilderNoEcho
from qiskit_nature.drivers import UnitsType, Molecule
from qiskit_nature.drivers.second_quantization import ElectronicStructur... |
https://github.com/grossiM/Qiskit_workshop1019 | grossiM | import pylab
import numpy as np
from qiskit import BasicAer
from qiskit.tools.visualization import plot_histogram
from qiskit.aqua import QuantumInstance
from qiskit.aqua import run_algorithm
from qiskit.aqua.algorithms import Grover
from qiskit.aqua.components.oracles import LogicalExpressionOracle, TruthTableO... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
print(qiskit.__version__)
from qiskit.aqua.algorithms import Shor
from qiskit.aqua import QuantumInstance
import numpy as np
from qiskit import QuantumCircuit, Aer, execute
from qiskit.tools.visualization import plot_histogram
backend = Aer.get_backend('qasm_simulator')
quantum_instance = Quan... |
https://github.com/jhlee29/quantum-meets-hangul | jhlee29 | from PIL import Image, ImageOps
import os, glob
import numpy as np
from sklearn import model_selection #cross_validation
# from keras.utils import np_utils
# General imports
import os
import gzip
import numpy as np
import matplotlib.pyplot as plt
from pylab import cm
import warnings
warnings.filterwarni... |
https://github.com/DRA-chaos/Solutions-to-the-Lab-Exercises---IBM-Qiskit-Summer-School-2021 | DRA-chaos | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, assemble, Aer, IBMQ, execute
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_bloch_multivector, plot_histogram
from qiskit_textbook.problems import dj_problem_oracle
def lab... |
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/soultanis/Quantum-Database-Search | soultanis | from math import sqrt, pi
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import oracle_simple
import composed_gates
def get_circuit(n, oracles):
"""
Build the circuit composed by the oracle black box and the other quantum gates.
:param n: The number of qubits (not including... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | import numpy as np
import pylab
from qiskit_chemistry import QiskitChemistry
# Input dictionary to configure Qiskit Chemistry for the chemistry problem.
qiskit_chemistry_dict = {
'driver': {'name': 'PYSCF'},
'PYSCF': {'atom': '', 'basis': 'sto3g'},
'operator': {'name': 'hamiltonian', 'transformatio... |
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/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/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/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/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/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 | 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/grossiM/Qiskit_workshop1019 | grossiM | 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/prototype-qrao | qiskit-community | # 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/SambitPrabhu/Boolean-SAT-using-Grovers-algorithm | SambitPrabhu | # Allowed combinations for the party according to the following guidelines:
# 1.It is Alice and Bob's engagement party so they must be invited
# 2.Charles will come only if Dave comes without Eve (iff Dave comes and Eve doesn't)
# A B C D E
# 1 1 0 0 0
# 1 1 0 0 1
# 1 1 0 1 0
# 1 1 0 1 1
# 1 1 1 1 0
# Karn... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_state_qsphere
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
state = Statevector(qc)
plot_state_qsphere(state) |
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/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import matplotlib.pyplot as plt
import itertools
from pprint import pprint
import pickle
import time
import datetime
# Import qubit states Zero (|0>) and One (|1>), and Pauli operators (X, Y, Z)
from qiskit.opflow import Zero, One, I, X, Y, Z
from qiskit import QuantumCircuit, QuantumRegis... |
https://github.com/Axect/QuantumAlgorithms | Axect | import pennylane as qml
from pennylane import numpy as np
import matplotlib.pyplot as plt
qml.drawer.use_style(style='sketch')
dev = qml.device('default.qubit', wires=['psi', 'a', 'b'])
def teleport(theta):
# Prepare the state to be teleported
qml.QubitStateVector([np.cos(theta), np.sin(theta)], wi... |
https://github.com/PacktPublishing/Quantum-Computing-in-Practice-with-Qiskit-and-IBM-Quantum-Experience | PacktPublishing | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created Nov 2020
Updated Aug 2021
@author: hassi
"""
# Import the required Qiskit classes
from qiskit import IBMQ, QuantumCircuit, transpile
from qiskit.providers.ibmq import least_busy
# Import the backend visualization methods
from qiskit.visualizati... |
https://github.com/qiskit-community/qiskit-jku-provider | qiskit-community | # -*- coding: utf-8 -*-
# Copyright 2019, 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.
"""
Example use of the JKU Provider and the Qasm Simulator backend for creating the
state '01 10'.
"""
from qiski... |
https://github.com/jdellaverson19/qiskit2020 | jdellaverson19 | """Qiskit code for running Simon's algorithm on quantum hardware for 2 qubits and b = '11' """
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, execute
# import basic plot tools
from qiskit.visualization import plot_histogram
... |
https://github.com/bartubisgin/QSVTinQiskit-2021-Europe-Hackathon-Winning-Project- | bartubisgin | using GenericLinearAlgebra
using LinearAlgebra
using SpecialFunctions
using Dates
using PolynomialRoots
using Printf
using FFTW
using PyPlot
using MAT
function GSLW(P, p_P, stop_criteria, R_init, R_max, if_polish = false)
#---------------------------------------------------------------------------------... |
https://github.com/Qiskit-Extensions/circuit-knitting-toolbox | Qiskit-Extensions | # This code is a Qiskit project.
# (C) Copyright IBM 2023.
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
# Any modifications or derivati... |
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 | 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/MonitSharma/Learn-Quantum-Computing-with-Qiskit | MonitSharma | from qiskit import QuantumCircuit
from qiskit.circuit import Gate
from math import pi
qc = QuantumCircuit(2)
c = 0
t = 1
# a controlled-Z
qc.cz(c,t)
qc.draw('mpl')
qc = QuantumCircuit(2)
# also a controlled-Z
qc.h(t)
qc.cx(c,t)
qc.h(t)
qc.draw('mpl')
qc = QuantumCircuit(2)
# a controlled-Y
qc.sdg... |
https://github.com/drobiu/quantum-project | drobiu | from qiskit import ClassicalRegister
from qiskit.circuit.quantumcircuit import QuantumCircuit
from qiskit.circuit.quantumregister import QuantumRegister
from src.logic.query import query_cd
from src.arithmetic.increment import control_increment, control_decrement
from src.logic.oracles import oracle_a
from src.ut... |
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/msramalho/Teach-Me-Quantum | msramalho | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute
# Choose the drawer you like best:
from qiskit.tools.visualization import matplotlib_circuit_drawer as draw
#from qiskit.tools.visualization import circuit_drawer as draw
from qiskit import IBMQ
IBMQ.load_accounts... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
# Import Qiskit
from qiskit import QuantumCircuit, transpile
from qiskit_aer import AerSimulator
# Construct quantum circuit
circ = QuantumCircuit(2, 2)
circ.h(0)
circ.cx(0, 1)
circ.measure([0,1], [0,1])
# Select the AerSimulator from the Aer provider
simulator = AerSimulator(method='... |
https://github.com/zeynepCankara/Introduction-Quantum-Programming | zeynepCankara | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, execute, Aer
from math import pi
from random import randrange
# the angle of rotation
r = randrange(1,11)
print("the picked angle is",r,"times of 2pi/11")
print()
theta = r*2*pi/11
# we read streams of length from 1 to 11
for i in ran... |
https://github.com/ronitd2002/IBM-Quantum-challenge-2024 | ronitd2002 | ### Install Qiskit and relevant packages, if needed
### IMPORTANT: Make sure you are on 3.10 > python < 3.12
'''
%pip install qiskit[visualization]==1.0.2
%pip install qiskit-ibm-runtime
%pip install qiskit-aer
%pip install graphviz
%pip install qiskit-serverless -U
%pip install qiskit-transpiler-service -U
''... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # You can make the bars more transparent to better see the ones that are behind
# if they overlap.
import numpy as np
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_state_city
from qiskit import QuantumCircuit
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
qc = QuantumCir... |
https://github.com/Interlin-q/diskit | Interlin-q | 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/derivation/ThinkQuantum | derivation | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute, Aer
from qiskit.tools.visualization import circuit_drawer, plot_histogram
import numpy as np
from numpy import pi
num_measurements = 5
q = QuantumRegister(1)
c = ClassicalRegister(num_measurements)
circ = QuantumCircuit(q,c)
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
from qiskit import QuantumCircuit
from qiskit.algorithms import IterativeAmplitudeEstimation, EstimationProblem
from qiskit.circuit.library import LinearAmplitudeFunction
from qiskit_aer.primitives import Sampler
from qiskit_finance.circui... |
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 = []
gate_counts = []
non_local_gate_counts = []
levels = [str(x) for x in range(4)... |
https://github.com/MonitSharma/Qiskit-Summer-School-and-Quantum-Challenges | MonitSharma | from qiskit import QuantumCircuit, QuantumRegister
from qiskit.quantum_info import SparsePauliOp
def heisenberg_hamiltonian(
length: int, jx: float = 1.0, jy: float = 0.0, jz: float = 0.0
) -> SparsePauliOp:
terms = []
for i in range(length - 1):
if jx:
terms.append(("XX", [i... |
https://github.com/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_lv3 = transpile(ghz, bac... |
https://github.com/jonasmaziero/computacao_quantica_qiskit_sbf_2023 | jonasmaziero | import math; import numpy as np; phmax = 4*math.pi; npt = 100; dth = phmax/npt; ph = np.arange(0,phmax+dth,dth)
from matplotlib import pyplot as plt; PrD0 = 0.5*(1+np.cos(ph)); plt.plot(ph,PrD0, label=r'$Pr(D_0)$')
PrD0 = 0.5*(1-np.cos(ph)); plt.plot(ph,PrD0, label=r'$Pr(D_1)$'); plt.legend(); plt.xlabel(r'$\phi$'); ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.transpiler.passes import RemoveBarriers
circuit = QuantumCircuit(1)
circuit.x(0)
circuit.barrier()
circuit.h(0)
circuit = RemoveBarriers()(circuit)
circuit.draw('mpl') |
https://github.com/mistryiam/IBM-Qiskit-Machine-Learning | mistryiam | # 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 collections import OrderedDict
from qiskit import LegacySimulators
from qiskit.transpiler import PassManager
from qiskit_aqua import AquaError
from qiskit_aqua import QuantumInstance
from qiskit_aqua.algorithms import ExactEigensolver
from qiskit_aqua.algorithms import QPE
from qiskit_aqua.components.iqfts ... |
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