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https://github.com/SaashaJoshi/IBM-Qiskit-Summer-School-2020 | SaashaJoshi | # -*- 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/DRA-chaos/Quantum-Classical-Hyrid-Neural-Network-for-binary-image-classification-using-PyTorch-Qiskit-pipeline | DRA-chaos | !pip install qiskit
# check if CUDA is available
import torch
train_on_gpu = torch.cuda.is_available()
if not train_on_gpu:
print('CUDA is not available. Training on CPU ...')
else:
print('CUDA is available! Training on GPU ...')
import numpy as np
import matplotlib.pyplot as plt
import to... |
https://github.com/carstenblank/dc-qiskit-algorithms | carstenblank | # 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 applicable law or agreed to in... |
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 | 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/IlliaOvcharenko/quantum-search | IlliaOvcharenko | import sys, os
sys.path.append(os.getcwd())
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from qiskit import QuantumCircuit
# from qiskit.primitives.sampler import Sampler
from qiskit.transpiler.preset_passmanagers import generate_preset_pass_manager
from qiskit_ibm_runtime i... |
https://github.com/2lambda123/Qiskit-qiskit | 2lambda123 | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.problems.second_quantization.lattice.lattices import LineLattice
from qiskit_nature.problems.second_quantization.lattice.models import FermiHubbardModel
line = LineLattice(2)
fermi = FermiHubbardModel.uniform_parameters(line, 2.0, 4.0, 3.0)
print(fermi.second_q_ops()) # Note: the trailing `s`
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
q = QuantumRegister(1)
c = ClassicalRegister(1)
qc = QuantumCircuit(q, c)
qc.h(q)
qc.measure(q, c)
qc.draw(output='mpl', style={'backgroundcolor': '#EEEEEE'}) |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.opflow import I, X, Y, Z
print(I, X, Y, Z)
print(1.5 * I)
print(2.5 * X)
print(X + 2.0 * Y)
print(X^Y^Z)
print(X @ Y @ Z)
print((X + Y) @ (Y + Z))
print((X + Y) ^ (Y + Z))
(I, X)
2.0 * X^Y^Z
print(1.1 * ((1.2 * X)^(Y + (1.3 * Z))))
from qiskit.opflow import (StateFn, Zero, On... |
https://github.com/arthurfaria/QC_basic_agorithms_qiskit | arthurfaria | import matplotlib as mpl
import numpy as np
import matplotlib.pyplot as plt
from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualization import plot_histogram, plot_bloch_multivector
qc = QuantumCircuit(1,1)
# Alice prepares qubit in state |+>
qc.h(0)
qc.barrier()
# Alice now sends t... |
https://github.com/Javihaus/Quantum-Machinel-Leaning | Javihaus | from qiskit import QuantumCircuit, execute, Aer
from qiskit.visualization import plot_histogram
from qiskit_textbook.widgets import binary_widget
binary_widget(nbits=5)
n = 8
n_q = n
n_b = n
qc_output = QuantumCircuit(n_q,n_b)
for j in range(n):
qc_output.measure(j,j)
qc_output.draw(output='mpl')... |
https://github.com/anirban-m/qiskit-superstaq | anirban-m | """
Creates and simulates a bell circuit.
Example Output:
job has successfully run
{'00': 52, '11': 48}
"""
import qiskit
import qiskit_superstaq as qss
# SuperstaQ token retrieved through API
token = "insert api token"
# Create provider using authorization token
superstaq = qss.superstaq_provi... |
https://github.com/rodneyosodo/variational-quantum-classifier-on-heartattack | rodneyosodo | from qiskit.ml.datasets import *
from qiskit import QuantumCircuit
from qiskit.aqua.components.optimizers import COBYLA, ADAM, SPSA, SLSQP, POWELL, L_BFGS_B, TNC, AQGD
from qiskit.circuit.library import ZZFeatureMap, RealAmplitudes, ZFeatureMap, PauliFeatureMap
from qiskit.quantum_info import Statevector
import ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.timeline import draw, IQXDebugging
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(... |
https://github.com/qiskit-community/qiskit-quantinuum-provider | qiskit-community | # 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/sjana01/QiskitNotebooks | sjana01 | import numpy as np
ket0 = np.array([1,0])
ket1 = np.array([0,1])
ket0/2 + ket1/2
M1 = np.array([ [1, 1], [0, 0] ])
M2 = np.array([ [1, 1], [1, 0] ])
M1/2 + M2/2
print("product of M1 with ket0: ", np.matmul(M1,ket0))
print("product of M1 and M2: \n",np.matmul(M1,M2))
from qiskit.quantum_info import ... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | import numpy as np
import random
from qiskit import QuantumCircuit, Aer, execute
from math import log2
import sys
#=====================================================================================================================
simulator = Aer.get_backend('statevector_simulator')
emulator = Aer.get_back... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, QuantumRegister
from qiskit.circuit.library.standard_gates import HGate
qr = QuantumRegister(3)
qc = QuantumCircuit(qr)
c3h_gate = HGate().control(2)
qc.append(c3h_gate, qr)
qc.draw('mpl') |
https://github.com/PabloMartinezAngerosa/QAOA-uniform-convergence | PabloMartinezAngerosa | import qiskit
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
from collections import defaultdict
from operator import itemgetter
from scipy.optimize import minimize
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer
from qiskit.aqua.algorithms import Nu... |
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/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | |
https://github.com/usamisaori/qLipschitz | usamisaori | import numpy as np
from qiskit import QuantumCircuit
def createInputCircuit(data):
qubits_num = len(data)
qcircuit = QuantumCircuit(qubits_num, qubits_num)
qubits = qcircuit.qubits
for i, d in enumerate(data):
qcircuit.rx(d * np.pi, qubits[i])
return qcircuit
def cre... |
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/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | # Needed for functions
import numpy as np
import time
# Import QISKit classes
import qiskit
from qiskit import QuantumRegister, QuantumCircuit, Aer
from qiskit.quantum_info import state_fidelity
from qiskit.tools.qi.qi import outer
# Tomography functions
from qiskit.ignis.verification.tomography import pro... |
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 = {
'problem': {'random_seed': 50},
'driver': {'name': 'PYQUANTE'},
'PYQUANTE': {'atoms': '', 'basis': 'sto3g'},
'opera... |
https://github.com/Qottmann/Quantum-anomaly-detection | Qottmann | import sys
sys.path.insert(1, '..') # sets the import path to the parent folder
import time
import datetime
import numpy as np
from matplotlib import pyplot as plt
import qiskit
from qiskit import *
from qiskit.opflow import X,Z,I
from qiskit.opflow.state_fns import StateFn, CircuitStateFn
from qiskit.pro... |
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.circuit.library.standard_gates import CHGate, U2Gate, CXGate
from qiskit.converters import dag_to_circuit
q = QuantumRegister(3, 'q')
c = Classi... |
https://github.com/baronefr/perceptron-dqa | baronefr | import numpy as np
from tqdm import tqdm
import qiskit.quantum_info as qi
from qiskit import QuantumCircuit, QuantumRegister, AncillaRegister
GPU = True
from importlib.util import find_spec
if GPU:
if find_spec('cupy') is not None:
import cupy as ncp
else:
print('Selected device ... |
https://github.com/NTU-ALComLab/SliQSim-Qiskit-Interface | NTU-ALComLab | # Import tools
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute
from qiskit_sliqsim_provider import SliQSimProvider
# Initiate SliQSim Provider
provider = SliQSimProvider()
# Construct a quantum circuit: 2-qubit bell-state
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
qc = ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, QuantumRegister
from qiskit.circuit.library.standard_gates import HGate
qr = QuantumRegister(3)
qc = QuantumCircuit(qr)
c3h_gate = HGate().control(2)
qc.append(c3h_gate, qr)
qc.draw('mpl') |
https://github.com/AnikenC/JaxifiedQiskit | AnikenC | # All Imports
import numpy as np
import matplotlib.pyplot as plt
import sympy as sym
import qiskit
from qiskit import pulse
from qiskit_dynamics import Solver, DynamicsBackend
from qiskit_dynamics.pulse import InstructionToSignals
from qiskit_dynamics.array import Array
from qiskit.quantum_info import ... |
https://github.com/QuTech-Delft/quantuminspire | QuTech-Delft | """ Quantum Inspire SDK
Copyright 2022 QuTech Delft
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or a... |
https://github.com/qiskit-community/qiskit-qcgpu-provider | qiskit-community | import numpy as np
import scipy
from scipy.linalg import expm
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler, MinMaxScaler
from sklearn.decomposition import... |
https://github.com/ElePT/qiskit-algorithms-test | ElePT | # 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/kuehnste/QiskitTutorial | kuehnste | # Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.visualization import *
from qiskit.quantum_info import state_fidelity
# Numpy and Scipy for data evaluation and reference calculations
import numpy as np
from scipy.linalg import expm
# Matplotlib for visualiz... |
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/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 | 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/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/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | # 导入相应的依赖库
import numpy as np
import math
from math import pi
import re
from qiskit import BasicAer,execute
from qiskit import QuantumCircuit,ClassicalRegister,QuantumRegister
from qiskit.tools.visualization import circuit_drawer
from qiskit import Aer, execute
# 实现目标量子态的制备电路
# 输入经典的数据，以向量的形式给出（注意：这里给出的向量元素... |
https://github.com/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import matplotlib.pyplot as plt
plt.rcParams.update({'font.size': 16}) # enlarge matplotlib fonts
# Import qubit states Zero (|0>) and One (|1>), and Pauli operators (X, Y, Z)
from qiskit.opflow import Zero, One, I, X, Y, Z
from qiskit import QuantumCircuit, QuantumRegister, IBMQ, execute, tr... |
https://github.com/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import matplotlib.pyplot as plt
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
from qiskit import QuantumCircuit, QuantumRegister, IBMQ, execute, transpile,... |
https://github.com/INFINIT27/Shor-s-Algorithm-using-Qiskit | INFINIT27 | 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/derivation/quantum_image_edge_detection | derivation | # import_demo_tools.py
import numpy as np
from numpy import pi
import matplotlib.pyplot as plt
from qiskit_aqua.components.initial_states import Custom
from qiskit import BasicAer, execute
|
https://github.com/veenaiyuri/qiskit-education | veenaiyuri | from qiskit import *
from qiskit.tools.visualization import plot_histogram, circuit_drawer
q = QuantumRegister(3)
c = ClassicalRegister(3)
qc = QuantumCircuit(q, c)
qc.h(q[0])
qc.h(q[1])
qc.cx(q[1], q[2])
qc.cx(q[0], q[1])
qc.h(q[0])
qc.measure(q[0], c[0])
qc.measure(q[1], c[1])
qc.cx(q[1], q[2])
qc.cz... |
https://github.com/lancecarter03/QiskitLearning | lancecarter03 | from qiskit import *
from qiskit.tools.visualization import plot_bloch_multivector
from qiskit.tools.visualization import plot_histogram
circuit = QuantumCircuit(1,1)
circuit.x(0)
simulator = Aer.get_backend('statevector_simulator')
result = execute(circuit, backend = simulator).result()
statevector = result.g... |
https://github.com/NesyaLab/qaoa | NesyaLab | #------------------------------------------------------------------------------
# Qaoa.py
#
# Implementation of the Quantum Approximate Optimization Algorithm (QAOA) [1],[2]
# specifically tailored for solving the MaxCut problem on graphs [3].
# This class facilitates the creation of QAOA circuits with
# variou... |
https://github.com/a24l/IBM_Qiskit_QGSS | a24l | 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/miamico/Quantum_Generative_Adversarial_Networks | miamico | %%capture
%pip install qiskit
%pip install qiskit_ibm_provider
%pip install qiskit-aer
# Importing standard Qiskit libraries
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, QuantumCircuit, transpile, Aer
from qiskit_ibm_provider import IBMProvider
from qiskit.tools.jupyter import *
from... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import BasicAer, transpile, QuantumRegister, ClassicalRegister, QuantumCircuit
qr = QuantumRegister(1)
cr = ClassicalRegister(1)
qc = QuantumCircuit(qr, cr)
qc.h(0)
qc.measure(0, 0)
qc.draw('mpl') |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
q = QuantumRegister(1)
c = ClassicalRegister(1)
qc = QuantumCircuit(q, c)
qc.h(q)
qc.measure(q, c)
qc.draw(output='mpl', style={'backgroundcolor': '#EEEEEE'}) |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
# Build a quantum circuit
circuit = QuantumCircuit(3, 3)
circuit.x(1)
circuit.h(range(3))
circuit.cx(0, 1)
circuit.measure(range(3), range(3));
print(circuit)
circuit.draw()
# Matplotlib Drawing
circuit.draw(output='mpl')
# Dra... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # 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/noamsgl/IBMAscolaChallenge | noamsgl | import logging
import sys
import time
from itertools import product
import numpy as np
import pandas as pd
from qiskit import QuantumCircuit, execute
from qiskit.circuit.library import U3Gate
from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer.noise import NoiseModel, depolarizing_error,... |
https://github.com/TheGupta2012/QPE-Algorithms | TheGupta2012 | from qiskit import QuantumCircuit, execute, transpile, Aer
from qiskit.extensions import UnitaryGate,Initialize
from qiskit.quantum_info import Statevector
from qiskit.tools.visualization import plot_bloch_vector
from qiskit.tools.visualization import plot_histogram,plot_bloch_multivector
import numpy as np
... |
https://github.com/victor-onofre/Quantum_Algorithms | victor-onofre | from qiskit import ClassicalRegister , QuantumCircuit, QuantumRegister
import numpy as np
qr = QuantumRegister(2)
cr = ClassicalRegister(3) #For tree classicals bites
qc = QuantumCircuit(qr , cr)
qc.h(qr[0]) #auxiliary qubit
qc.x(qr[1]) # eigenvector
#qc.cp((3/2)*np.pi , qr[0] , qr[1])
qc.cp(3*np.pi , qr[... |
https://github.com/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit.aqua.operators import WeightedPauliOperator
pauli_dict = {
'paulis': [{"coeff": {"imag": 0.0, "real": -1.052373245772859}, "label": "II"},
{"coeff": {"imag": 0.0, "real": 0.39793742484318045}, "label": "ZI"},
{"coeff": {"imag": 0.0, "real": -0.39793742484318045}, "label... |
https://github.com/ratansahu05/Quantum-Computing-and-Programming | ratansahu05 | from qiskit import QuantumCircuit
from qiskit.tools.visualization import circuit_drawer
import numpy as np
from matplotlib import pyplot as plt
n=5
qc = QuantumCircuit(n)
qc.x(1)
qc.ccx(0, 1, 3)
qc.ccx(2, 3, 4)
qc.ccx(0, 1, 3)
qc.x(1)
qc.draw('mpl')
def phase_oracle(n, name = 'Uf'):
qc = QuantumC... |
https://github.com/qiskit-community/qiskit-dell-runtime | qiskit-community | from dell_runtime import DellRuntimeProvider
from qiskit import QuantumCircuit
import os
import logging
logging.basicConfig(level=logging.DEBUG)
RUNTIME_PROGRAM = """
# This code is part of qiskit-runtime.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# ... |
https://github.com/a24l/Quantum-Computations-and-Algorithms | a24l | import numpy as np
#import matplotlib as plt
import random
from matplotlib import pyplot as plt
# Importing standard Qiskit libraries
from qiskit import *
from qiskit.tools import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
from qiskit.providers.ae... |
https://github.com/anikazaman24/Quantum_computer_data_collection_HHL_algorithm_circuit_with_NoiseAnalysis_Framework | anikazaman24 | from qiskit_ibm_runtime import QiskitRuntimeService
# Save an IBM Quantum account and set it as your default account.
QiskitRuntimeService.save_account(channel="ibm_quantum", token='<YOUR_TOKEN>', overwrite=True,set_as_default=True)
# Load saved credentials
service = QiskitRuntimeService()
service.backend(... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
ghz = QuantumCircuit(5)
ghz.h(0)
ghz.cx(0,range(1,5))
ghz.draw(output='mpl') |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | # A jupyter notebook is composed by one or more cells.
# A cell is used to write and execute your codes.
# A cell is also used to write descriptions, notes, formulas, etc.
# You can format your descriptions by using HTML or LaTex codes.
# During this tutorial, you are expected to write only python codes.
# Interes... |
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/quantumyatra/quantum_computing | quantumyatra | from qiskit import QuantumCircuit, execute
from qiskit import Aer, execute, BasicAer, IBMQ
from qiskit.providers.ibmq import least_busy
from qiskit.visualization import plot_histogram
import numpy as np
def dj_oracle(case, n):
oracle_qc = QuantumCircuit(n+1)
# First, let's deal with the cas... |
https://github.com/2lambda123/Qiskit-qiskit | 2lambda123 | # 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/18520339/uts-quantum-computing | 18520339 | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, transpile
from termcolor import colored
class Board:
def __init__(self, size=3, simulator=None):
# Initialize the quantum circuit with one qubit and classical bit for each cell
self.size = size
self.simulator = ... |
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/rochisha0/stock-picking | rochisha0 | from qiskit.finance.data_providers import RandomDataProvider
import numpy as np
import matplotlib.pyplot as plt
import datetime
import pandas as pd
from nsepy import get_history
from docplex.mp.model import Model
from qiskit.optimization import QuadraticProgram
from qiskit.optimization.converters import Lin... |
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))
ghz.draw(output='mpl') |
https://github.com/MonitSharma/Learn-Quantum-Machine-Learning | MonitSharma | import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
np.set_printoptions(precision=3, suppress=True)
if(1j**2==-1):
print("Complex Number")
else:
print("Not a Complex Number")
x = 3.5 + 2.1j
print("Type of x:" , type(x))
print("Real part of x:", x.real)
print("Imaginary part of x:"... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_bloch_multivector
qc = QuantumCircuit(2)
qc.h(0)
qc.x(1)
state = Statevector(qc)
plot_bloch_multivector(state) |
https://github.com/zeynepCankara/Introduction-Quantum-Programming | zeynepCankara | #
# A quantum circuit is composed by quantum and classical bits.
#
# here are the objects that we use to create a quantum circuit in qiskit
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
# we use a quantum register to keep our quantum bits.
qreg = QuantumRegister(1) # in this example ... |
https://github.com/minnukota381/Quantum-Computing-Qiskit | minnukota381 | from qiskit import *
from qiskit.visualization import plot_bloch_multivector, visualize_transition, plot_histogram
# Create a quantum circuit with 2 qubits
# The default initial state of qubits will be |0> or [1,0]
qc = QuantumCircuit(2)
#Applying the hadarmad gate to target
qc.sdg(1)
#apply the cx gate to b... |
https://github.com/drithidavuluri/Implementation-of-Algorithm-using-Qiskit | drithidavuluri | my_list = [1,3,5,2,4,2,5,8,0,7,6]
#classical computation method
def 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 oracle(trial_number) is True:
pri... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import QuantumCircuit
from qiskit.quantum_info import DensityMatrix
from qiskit.visualization import plot_state_hinton
qc = QuantumCircuit(2)
qc.h([0, 1])
qc.cz(0,1)
qc.ry(np.pi/3 , 0)
qc.rx(np.pi/5, 1)
state = DensityMatrix(qc)
plot_state_hinton(state, title="New Hinton Plo... |
https://github.com/iAbdullahAlshehri/Deutsch_Jozsa | iAbdullahAlshehri | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 19 19:13:26 2023
@author: abdullahalshihry
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 18 19:15:12 2023
@author: abdullahalshihry
"""
import qiskit as qs
import qiskit.visualization as qv
import ran... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import QuantumCircuit
from qiskit.circuit.library.arithmetic.piecewise_chebyshev import PiecewiseChebyshev
f_x, degree, breakpoints, num_state_qubits = lambda x: np.arcsin(1 / x), 2, [2, 4], 2
pw_approximation = PiecewiseChebyshev(f_x, degree, breakpoints, num_state_qubits)
pw_approx... |
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/shantomborah/Quantum-Algorithms | shantomborah | my_list = [1,3,5,2,4,2,5,8,0,7,6]
#classical computation method
def 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 oracle(trial_number) is True:
pri... |
https://github.com/Anastasia-Sim/PoW-QCSA-fa22 | Anastasia-Sim | print("hello word")
hash_dict = {
'0000': '1111',
'1000': '0111',
'0001': '0010',
'1001': '1100',
'0010': '0000',
'1010': '0110',
'0011': '0101',
'1011': '1001',
'0100': '1010',
'1100': '0011',
'0101': '1101',
'1101': '1110',
'0110': '1000',
'1110... |
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/KMU-quantum-classroom/qiskit-classroom-converter | KMU-quantum-classroom | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); yo... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit import Parameter
from qiskit import QuantumCircuit
theta = Parameter('$\\theta$')
chsh_circuits_no_meas = QuantumCircuit(2)
chsh_circuits_no_meas.h(0)
chsh_circuits_no_meas.cx(0, 1)
chsh_circuits_no_meas.ry(theta, 0)
chsh_circuits_no_meas.draw('mpl')
import numpy as np
number_of_pha... |
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, 1], [0, 1])
circ.draw("mpl")
from qiskit import transpile, schedule as build_schedule
from qiskit.providers.fake_provider import FakeHanoi
backend = FakeHanoi()
transpiled_circ = transpile(circ, bac... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Import requisite modules
import math
import datetime
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
# Import Qiskit packages
from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, QAOA, SamplingVQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.c... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, QuantumRegister
from qiskit.circuit.library.standard_gates import HGate
qr = QuantumRegister(3)
qc = QuantumCircuit(qr)
c3h_gate = HGate().control(2)
qc.append(c3h_gate, qr)
qc.draw('mpl') |
https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | from qiskit.chemistry.drivers import PySCFDriver, UnitsType, Molecule
from qiskit.chemistry.transformations import FermionicTransformation, FermionicQubitMappingType
molecule = Molecule(geometry=[['H', [0., 0., 0.]],
['H', [0., 0., 0.735]]],
charge=0, multiplicit... |
https://github.com/7enTropy7/Shor-s-Algorithm_Quantum | 7enTropy7 | import RSA_module
bit_length = int(input("Enter bit_length: "))
public, private = RSA_module.generate_keypair(2**bit_length)
msg = input("\nWrite message: ")
encrypted_msg, encryption_obj = RSA_module.encrypt(msg, public)
print("\nEncrypted message: " + encrypted_msg)
decrypted_msg = RSA_module.decrypt(... |
https://github.com/sjana01/QiskitNotebooks | sjana01 | import sys
sys.path.append('../')
from circuits import sampleCircuitA, sampleCircuitB1, sampleCircuitB2,\
sampleCircuitB3, sampleCircuitC, sampleCircuitD, sampleCircuitE,\
sampleCircuitF
from entanglement import Ent
import warnings
warnings.filterwarnings('ignore')
labels = [
'Circuit A', 'Ci... |
https://github.com/danielzoch/QPEHashing | danielzoch | !pip install qiskit_ibm_provider
!pip install pylatexenc
!pip install qiskit
!pip install qiskit-ibmq-provider
from qiskit import QuantumCircuit, transpile, assemble
from qiskit.visualization import plot_histogram
from qiskit.providers.ibmq import least_busy, IBMQ
import numpy as np
# Function to create con... |
https://github.com/BoschSamuel/QizGloria | BoschSamuel | # -- 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.
#
# Any... |
https://github.com/TuomasLe/Extended-basis-encoding-and-amplitude-encoding-algorithms-for-Qiskit | TuomasLe | from qiskit import IBMQ
IBMQ.load_account()
%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 *
provider ... |
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/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/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
secret_number = '101001'
# here work is happen like buttom to up
for position,value in enumerate(reversed(secret_number)):
if value == '1':
print(position, value... |
https://github.com/tybens/quantum-data-fitting-HHL | tybens | import numpy as np
from qiskit import ClassicalRegister, QuantumCircuit, execute, Aer
from qiskit.visualization import plot_histogram
F = np.matrix([[1, 1, 1], [0, 0, 1], [1, 0, 0], [0.5, 1, 0]])
print("rank", np.linalg.matrix_rank(F))
y = np.array([0, 0, 1, 0])
y.resize((4, 1))
print("F=", F)
print("y=... |
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