repo stringclasses 885
values | file stringclasses 741
values | content stringlengths 4 215k |
|---|---|---|
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.timeline import draw, IQXSimple
from qiskit.providers.fake_provider import FakeBoeblingen
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
qc = transpile(qc, FakeBoeblingen(), scheduling_method='alap', layout_method='trivial')
draw(qc,... |
https://github.com/anish-ku/Deutsch-Jozsa-Algorithm-Qiskit | anish-ku | import numpy as np
from qiskit import QuantumCircuit as QC
from qiskit import execute
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit.tools.jupyter import *
provider = IBMQ.load_account()
from qiskit.visualization import plot_histogram
def oracle(case, n):
##cre... |
https://github.com/rmlarose/qcbq | rmlarose | """Imports."""
import matplotlib.pyplot as plt
import numpy as np
import scipy as scp
from IPython.display import clear_output, display
import qiskit.pulse as pulse
import qiskit
"""Plotting style."""
%matplotlib inline
plt.rcParams.update({"font.size": 16, "font.weight": "bold"})
"""Load account: Onl... |
https://github.com/Keerthiraj-Nagaraj/IBM-quantum-challenge-2020 | Keerthiraj-Nagaraj | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# (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 modifi... |
https://github.com/zapatacomputing/qe-qiskit | zapatacomputing | ################################################################################
# © Copyright 2021-2022 Zapata Computing Inc.
################################################################################
############################################################################
# Copyright 2017 Rigetti Comp... |
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/quantumyatra/quantum_computing | quantumyatra | #!/usr/bin/env python3
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import Aer, execute
from qiskit.visualization import plot_bloch_multivector, plot_histogram
import numpy as np
import pylab as plt
import sys
sys.path.append("/Users/gshyam/projects/work_projects/machi... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # 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 deriva... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # 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/RQC-QApp/Seminars | RQC-QApp | # Подключаем необходимые методы/классы/etc.
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute
# Указываем необходимое число квантовых регистров (кубитов)
# и классических регистров.
#
# В обоих случаях указано 2. Помимо количества им присваиваются идентификаторы
... |
https://github.com/alejomonbar/Quantum-Supply-Chain-Manager | alejomonbar | %load_ext autoreload
%autoreload 2
#pip install pennyane
#improt pennylane dependnecies
import pennylane as qml
from pennylane import numpy as np
from pennylane.optimize import NesterovMomentumOptimizer
# load the csv files
import pandas as pd
# plot the historical acc and cost
import matplotlib.pyp... |
https://github.com/qiskit-community/qgss-2023 | qiskit-community | %set_env QC_GRADE_ONLY=true
from qiskit.circuit import QuantumCircuit
from qiskit.primitives import Estimator, Sampler
from qiskit.quantum_info import SparsePauliOp
from qiskit.visualization import plot_histogram
import numpy as np
import matplotlib.pyplot as plt
plt.style.use('dark_background') # optional
... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile, schedule
from qiskit.visualization.pulse_v2 import draw, IQXDebugging
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 = schedu... |
https://github.com/biswaroopmukherjee/Quantum-Waddle | biswaroopmukherjee | import qiskit
from qiskit import IBMQ
from qiskit.tools.monitor import job_monitor
IBMQ.load_account()
IBMQ.providers()
provider = IBMQ.get_provider(group='open') #check open servers
import numpy as np
import time
import networkx as nx
import matplotlib.pyplot as plt
import random
from qiskit import (Quant... |
https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | # vector v
v = [1,2,-3]
# vector u
u=[-2,3]
vu = []
for i in range(len(v)): # each element of v will be replaced
for j in range(len(u)): # the vector u will come here after multiplying with the entry there
vu.append( v[i] * u[j] )
print("v=",v)
print("u=",u)
print("vu=",vu)
#
# your solu... |
https://github.com/derek-wang-ibm/coding-with-qiskit | derek-wang-ibm | from qiskit import QuantumCircuit, transpile
qc = QuantumCircuit(2)
qc.reset(0)
qc.x(0)
qc.cx(0, 1)
qc.reset(0)
qc.reset(0)
qc.h(0)
qc.draw(output='mpl')
qc_basic_transpile = transpile(qc, optimization_level=3)
qc_basic_transpile.draw(output='mpl', style='iqp')
from qiskit.transpiler.passes.optimizatio... |
https://github.com/MonitSharma/Learn-Quantum-Machine-Learning | MonitSharma | !pip install amazon-braket-pennylane-plugin
my_bucket = "amazon-braket-Your-Bucket-Name" # the name of the bucket, keep the 'amazon-braket-' prefix and then include the bucket name
my_prefix = "Your-Folder-Name" # the name of the folder in the bucket
s3_folder = (my_bucket, my_prefix)
device_arn = "arn:aws:br... |
https://github.com/qiskit-community/prototype-entanglement-forging | qiskit-community | # This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or deriv... |
https://github.com/qiskit-community/qiskit-cold-atom | qiskit-community | from qiskit_cold_atom.providers import ColdAtomProvider
provider = ColdAtomProvider()
backend = provider.get_backend("fermionic_tweezer_simulator")
# give initial occupations separated by spin species
qc = backend.initialize_circuit([[1, 0, 0, 1], [0, 0, 1, 1]])
qc.draw(output='mpl', style='clifford')
qc.... |
https://github.com/qiskit-community/community.qiskit.org | qiskit-community | from qiskit import *
p = 0.01
P = 3 * p**2 * (1-p) + p**3
print('Probability of a single reply being garbled:',p)
print('Probability of a the majority of three replies being garbled:',P)
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise.errors import pauli_error, depolarizing_e... |
https://github.com/nahumsa/volta | nahumsa | import sys
sys.path.append('../../')
# Python imports
import numpy as np
import matplotlib.pyplot as plt
# Qiskit
from qiskit import BasicAer
from qiskit.aqua.components.optimizers import COBYLA, SPSA
from qiskit.circuit.library import TwoLocal
# VOLTA
from volta.vqd import VQD
from volta.utils import ... |
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/daimurat/qiskit-implementation | daimurat | !pip install qulacs
from qulacs import QuantumState,QuantumCircuit, Observable, PauliOperator
from qulacs.gate import X,Z,RX,RY,RZ,CNOT,merge,DenseMatrix,add
from qulacs.state import inner_product
import matplotlib.pyplot as plt
import numpy as np
%matplotlib inline
# 量子ビットの数
nqubits = 4
# ダイナミクスをシミュレーションする時... |
https://github.com/kerenavnery/qmail | kerenavnery | #!/usr/bin/env python
# coding: utf-8
# In[1]:
from qiskit import *
from qiskit.quantum_info import Statevector
#From Marc
from parser import QSerializer
#From Luca
import socket
from SocketChannel import SocketChannel
# In[33]:
class Channel:
def __init__(self,slave_offset=0):
... |
https://github.com/omarcostahamido/qiskit_app_carbon_design | omarcostahamido | # Copyright 2015 IBM Corp. All Rights Reserved.
#
# 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 o... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.circuit.library import UCCSD
ansatz = UCCSD()
ansatz.num_spin_orbitals = 10
from qiskit_nature.second_q.circuit.library import UCCSD
ansatz = UCCSD()
ansatz.num_spatial_orbitals = 5
from qiskit_nature.circuit.library import UCC, UVCC
ucc = UCC(qubit_converter=None, num_particles=None... |
https://github.com/kazawai/shor_qiskit | kazawai | """The following is python code utilizing the qiskit library that can be run on extant quantum
hardware using 5 qubits for factoring the integer 15 into 3 and 5. Using period finding,
for a^r mod N = 1, where a = 11 and N = 15 (the integer to be factored) the problem is to find
r values for this identity such that... |
https://github.com/Qiskit-Extensions/circuit-knitting-toolbox | Qiskit-Extensions | # This code is a Qiskit project.
# (C) Copyright IBM 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 derivati... |
https://github.com/zeynepCankara/Introduction-Quantum-Programming | zeynepCankara | from random import randrange
dimension = 7
# create u and v as empty list
u = []
v = []
for i in range(dimension):
u.append(randrange(-10,11)) # add a randomly picked number to the list u
v.append(randrange(-10,11)) # add a randomly picked number to the list v
# print both lists
print("u is",u... |
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/ElePT/qiskit-algorithms-test | ElePT | from qiskit import QuantumCircuit, Aer, execute
from math import pi, sin
from qiskit.compiler import transpile, assemble
from grover_operator import GroverOperator
def qft(n): # returns circuit for inverse quantum fourier transformation for given n
circuit = QuantumCircuit(n)
def swap_registers(cir... |
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/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
def find_secret_number(secter_number):
# Using Bernstein Vazirani Algorithm
secret_number = str(secter_number)
circuit = QuantumCircuit(len(secret_number)+1, ... |
https://github.com/dimple12M/Qiskit-Certification-Guide | dimple12M | from qiskit.visualization import *
from qiskit import QuantumCircuit,transpile
from qiskit import IBMQ
provider=IBMQ.load_account()
provider
provider.backends()
backend=provider.get_backend("ibmq_lima")
backend
plot_gate_map(backend)
plot_error_map(backend)
qc=QuantumCircuit(3)
qc.h(0)
qc.cx(0,1... |
https://github.com/mmetcalf14/Hamiltonian_Downfolding_IBM | mmetcalf14 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
#... |
https://github.com/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/abbarreto/qiskit2 | abbarreto | %run init.ipynb
1 + cos(2*pi/3) + 1j*sin(2*pi/3) + cos(4*pi/3) + 1j*sin(4*pi/3)
1 + cos(4*pi/3) + 1j*sin(4*pi/3) + cos(8*pi/3) + 1j*sin(8*pi/3)
cos(2*pi/3), cos(4*pi/3)
|
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/iqm-finland/qiskit-on-iqm | iqm-finland | # Copyright 2022-2023 Qiskit on IQM developers
#
# 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... |
https://github.com/abbarreto/qiskit4 | abbarreto | from sympy import *
init_printing(use_unicode=True)
r1,r2,r3,s1,s2,s3 = symbols('r_1 r_2 r_3 s_1 s_2 s_3')
I = Matrix([[1,0],[0,1]]); X = Matrix([[0,1],[1,0]]); Y = Matrix([[0,-1j],[1j,0]]); Z = Matrix([[1,0],[0,-1]])
rho = (1/2)*(I+r1*X+r2*Y+r3*Z); sigma = (1/2)*(I+s1*X+s2*Y+s3*Z)
#rho, sigma
def frho(r1,r2,... |
https://github.com/aryashah2k/Quantum-Computing-Collection-Of-Resources | aryashah2k | # let's randomly pick a number between 0 and 9, and print its value if it is greater than 5
from random import randrange
r = randrange(10)
if r > 5: print(r) # when the condition (r > 5) is valid/true, the code (print(r)) will be executed
# you may need to execute your code more than once to see an outcome
#... |
https://github.com/victor-onofre/Tutorial_QAOA_maxcut_Qiskit_FallFest | 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/apcarrik/qiskit-dev | apcarrik | import numpy as np
from pprint import pprint
# 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
# show all possible backends
pprint(Aer.backends())
# use AerSimulator b... |
https://github.com/UST-QuAntiL/nisq-analyzer-content | UST-QuAntiL | from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
# https://github.com/Qiskit/qiskit-community-tutorials/blob/master/algorithms/bernstein_vazirani.ipynb
# https://doi.org/10.1073/pnas.1618020114
def get_circuit(**kwargs):
number_of_qubits = kwargs["number_of_qubits"]
s = kwargs["s"]... |
https://github.com/Qottmann/Quantum-anomaly-detection | Qottmann | import time
import itertools
import numpy as np
from scipy.optimize import minimize, basinhopping
from qiskit import *
from qiskit.quantum_info import Statevector
from qiskit.algorithms.optimizers import COBYLA, L_BFGS_B, SPSA
import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator
from matpl... |
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/sebasmos/QuantumVE | sebasmos | import os
MODEL_METADATA = "RF"
model_name = "efficientnet_v2_m"#"efficientnet_b7"## "mobilenet_v3_large"#"convnext_base"
EXPERIMENT_NAME = f"{model_name}_embeddings"
results_path = f"{EXPERIMENT_NAME}/{MODEL_METADATA}"
os.makedirs(results_path, exist_ok = True)
os.makedirs(EXPERIMENT_NAME, exist_ok = True)
tr... |
https://github.com/anpaschool/quantum-computing | anpaschool | from qiskit import *
from math import pi
import numpy as np
from qiskit.visualization import *
import matplotlib.pyplot as plt
from qutip import *
qc = QuantumCircuit(2)
qc.barrier()
qc.h(0)
qc.cx(0, 1)
qc.barrier()
qc.draw('mpl')
backend = Aer.get_backend('statevector_simulator')
out = execute(qc,back... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import os, shutil, time
from random_qubo.random_qubo import RandomQubo
DIR = 'TEST_DATA' + "/" + time.strftime("%d_%m_%Y")
def getPath(filename = "", directory = ""):
return DIR + "/" + directory + "/" + filename
bounds = {"matrix_q_lb": -5, "matrix_q_ub": 5, "c_lb": -5, "c_ub": 5}
DIR
shutil.rmtree(... |
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/BOBO1997/osp_solutions | BOBO1997 | import numpy as np
import qiskit
from qiskit import *
from qiskit import Aer
import pandas as pd
from qiskit.providers.aer.noise.noise_model import NoiseModel
from qiskit.test.mock import *
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.ignis.mitigation.measurement import complete_meas... |
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 | from qiskit_nature.second_q.problems import BaseProblem
dummy_hamiltonian = None
base_problem = BaseProblem(dummy_hamiltonian)
print(base_problem.properties)
from qiskit_nature.second_q.properties import AngularMomentum
print("AngularMomentum is in problem.properties:", AngularMomentum in base_problem.prop... |
https://github.com/iqm-finland/qiskit-on-iqm | iqm-finland | # Copyright 2024 Qiskit on IQM developers
#
# 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 a... |
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/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit import pulse
d0 = pulse.DriveChannel(0)
x90 = pulse.Gaussian(10, 0.1, 3)
x180 = pulse.Gaussian(10, 0.2, 3)
def udd10_pos(j):
return np.sin(np.pi*j/(2*10 + 2))**2
with pulse.build() as udd_sched:
pulse.play(x90, d0)
with pulse.align_func(duration=300, func=udd10_... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | # useful additional packages
import random
import math
from sympy.ntheory import isprime
# importing QISKit
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import Aer, IBMQ, execute
from qiskit.tools.monitor import job_monitor
from qiskit.providers.ibmq import least_busy
... |
https://github.com/khaledalam/QuantumComputingAndPrimesAndOthers | khaledalam | # Author: Khaled Alam(khaledalam.net@gmail.com)
'''
Guess binary string (secret) of length N in 1 shot only using quantum computing circuit!
~ by using clasical computers we need at least N shots to guess string (secret) of length N
~ by using quantum computer we need 1 shot to guess string (secre... |
https://github.com/MonitSharma/Qiskit-Summer-School-and-Quantum-Challenges | MonitSharma | from qiskit_nature.drivers import Molecule
from qiskit_nature.drivers.second_quantization import ElectronicStructureDriverType, ElectronicStructureMoleculeDriver
# PSPCz molecule
geometry = [['C', [ -0.2316640, 1.1348450, 0.6956120]],
['C', [ -0.8886300, 0.3253780, -0.2344140]],
... |
https://github.com/MonitSharma/Learn-Quantum-Computing-with-Qiskit | MonitSharma | %matplotlib inline
import numpy as np
import matplotlib.pyplot as plt
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, IBMQ
from qiskit.compiler import transpile
from qiskit.providers.aer import QasmSimulator, StatevectorSimulator
from qiskit.visualization... |
https://github.com/lynnlangit/learning-quantum | lynnlangit | #!/usr/bin/env python
# coding: utf-8
# # Solving linear systems of equations using HHL and its Qiskit implementation
# In this tutorial, we introduce the HHL algorithm, derive the circuit, and implement it using Qiskit. We show how to run the HHL on a simulator and on a five qubit device.
# ## Contents
# 1.... |
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
job_2, G, UNIFORM_CONVERGENCE_SAMPLE = test_solution()
plot_histogram(job_2.result().get_counts(), color='midnightblue', title="New Histogram", figsize=(30, 5))
plot_histogram(job... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # Useful additional packages
import matplotlib.pyplot as plt
import numpy as np
from math import pi
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, transpile
from qiskit.tools.visualization import circuit_drawer
from qiskit.quantum_info import state_fidelity
from qiskit import BasicAer
... |
https://github.com/qiskit-community/qiskit-aqt-provider | qiskit-community | # This code is part of Qiskit.
#
# (C) Copyright Alpine Quantum Technologies GmbH 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.
#
... |
https://github.com/2lambda123/Qiskit-qiskit | 2lambda123 | # 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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import ClassicalRegister, QuantumRegister, QuantumCircuit
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
qc = QuantumCircuit(qr, cr)
qc.h(range(2))
qc.measure(range(2), range(2))
# apply x gate if the classical register has the value 2 (10 in binary)
qc.x(0).c_if(cr, 2)
# apply y gate if bi... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 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/ionq-samples/getting-started | ionq-samples | %%capture
# First, we install the essential libraries to our current Python runtime.
# "%%capture" (above) captures and in this case, hides the output of this
# cell, so you can comment it out if you need help debugging this step.
%pip install 'qbraid[runtime]' matplotlib
import os
from getpass import getpa... |
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/hamburgerguy/Quantum-Algorithm-Implementations | hamburgerguy | """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/Pitt-JonesLab/slam_decomposition | Pitt-JonesLab | """Run this cell if in new enviroment without slam installed"""
# ! pip install git+https://github.com/Pitt-JonesLab/slam_decomposition
# #write to config file an empty directory (monkey patching for sake of portability)
# f = open("config.py", "w")
# f.write('srcpath = "content/"')
# f.close()
%matplotlib widg... |
https://github.com/JayantiSingh/Quant_co_Qiskit | JayantiSingh | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit import IBMQ, Aer, execute
#NOT gate = X gate
q = QuantumRegister(1)
c = ClassicalRegister(1)
qc = QuantumCircuit(q,c)
qc.x(q[0])
qc.measure(q[0], c[0])
qc.draw(output='mpl')
# AND gate = output t of CCX gate
q = QuantumReg... |
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/googlercolin/Qiskit-Course | googlercolin | # !pip install -r 'requirements.txt' --quiet
import numpy as np
import torch
from torchvision.transforms import ToTensor
from torch import no_grad
from torchvision import datasets
import torch.optim as optim
from torch.nn import (Module, Conv2d, Linear, Dropout2d, NLLLoss, MaxPool2d, Flatten, Sequential, ReL... |
https://github.com/rmlarose/qcbq | rmlarose | # !pip install qiskit==0.7.1
# Include the necessary imports for this program
import numpy as np
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
# Create a Quantum Register with 2 qubits
qr = QuantumRegister(2)
# Create a Classical Register with 2 bits
cr = ClassicalRegister(2)... |
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 | from qiskit import QuantumCircuit
from qiskit.algorithms import AmplificationProblem
# the state we desire to find is '11'
good_state = ['11']
# specify the oracle that marks the state '11' as a good solution
oracle = QuantumCircuit(2)
oracle.cz(0, 1)
# define Grover's algorithm
problem = AmplificationPro... |
https://github.com/anpaschool/QC-School-Fall2020 | anpaschool | import numpy as np
from random import random
from qiskit import *
from qiskit.aqua.utils.controlled_circuit import get_controlled_circuit
num_bits_estimate = 3
# For 2x2 matrix one qubit is enough
q = QuantumRegister(1, name="q")
# In QPE we use n ancillas to estimate n bits from the phase
a = QuantumRegist... |
https://github.com/BoxiLi/qiskit-CR-calibration | BoxiLi | import logging
from copy import deepcopy
import warnings
import numpy as np
from numpy import pi
import matplotlib.pyplot as plt
from qiskit.circuit import Gate
from qiskit import transpile
from qiskit.transpiler import InstructionProperties
from qiskit_utilities import (
save_job_data,
setup_logger,... |
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/jvscursulim/qamp_fall22_project | jvscursulim | import copy
import time
import medmnist
import numpy as np
import torch
import torchvision
import torch.nn as nn
import torch.optim as optim
import torch.utils.data as data
import torchvision.transforms as transforms
import torch.nn.functional as F
from torch import cat
from medmnist import INFO, E... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.utils import algorithm_globals
from qiskit.algorithms.minimum_eigensolvers import QAOA, NumPyMinimumEigensolver
from qiskit.algorithms.optimizers import COBYLA
from qiskit.primitives import Sampler
from qiskit_optimization.algorithms import (
MinimumEigenOptimizer,
RecursiveMinimumEigenOptimiz... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | from qiskit import QuantumCircuit
from QCLG_lvl3.oracles.secret_number_oracle import SecretNUmberOracle
class BernsteinVazirani:
@classmethod
def bernstein_vazirani(cls, random_binary, eval_mode: bool) -> QuantumCircuit:
# Construct secret number oracle
secret_number_oracle = Sec... |
https://github.com/shesha-raghunathan/DATE2019-qiskit-tutorial | shesha-raghunathan | #
# A quantum circuit is composed by quantum and classical bits.
#
# here are the objects that we use to create a quantum circuit
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
# we use a quantum register to keep our quantum bits.
qreg = QuantumRegister(1) # in this example we will us... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, QAOA, SamplingVQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.result import QuasiDistribution
from qiskit_aer.primitives import Sampler
from qiskit_finance.applications.optimizati... |
https://github.com/rohitgit1/Quantum-Computing-Summer-School | rohitgit1 | !pip install -U -r grading_tools/requirements.txt
from IPython.display import clear_output
clear_output()
import numpy as np; pi = np.pi
from qiskit import QuantumCircuit, Aer, execute
from qiskit.visualization import plot_histogram
from copy import deepcopy as make_copy
def prepare_hets_circuit(depth, ang... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | #General imports
import numpy as np
#Operator Imports
from qiskit.opflow import Z, X, I, StateFn, CircuitStateFn, SummedOp
from qiskit.opflow.gradients import Gradient, NaturalGradient, QFI, Hessian
#Circuit imports
from qiskit.circuit import QuantumCircuit, QuantumRegister, Parameter, ParameterVector, Parame... |
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, transpile
ghz = QuantumCircuit(15)
ghz.h(0)
ghz.cx(0, range(1, 15))
ghz.draw(output='mpl') |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | import qiskit
from qiskit import *
print(qiskit.__version__)
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
def find_secret_number(secter_number):
# Using Bernstein Vazirani Algorithm
secret_number = str(secter_number)
circuit = QuantumCircuit(len(secret_number)+1, ... |
https://github.com/Sinestro38/Shors-Algorithm | Sinestro38 | import matplotlib.pyplot as plt
import numpy as np
from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualization import plot_histogram
from math import gcd
from numpy.random import randint
import pandas as pd
from fractions import Fraction
print("Imports Successful")
def c_amod15(a, p... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit.circuit.random import random_circuit
circuit = random_circuit(2, 2, seed=0, measure=True).decompose(reps=1)
display(circuit.draw("mpl"))
from qiskit.primitives import Sampler
sampler = Sampler()
job = sampler.run(circuit)
print(f">>> Job ID: {job.job_id()}")
print(f">>> Job Status: {job.statu... |
https://github.com/lynnlangit/learning-quantum | lynnlangit | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, Aer, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
from qiskit.providers.aer import QasmSimulator
# Loading your IBM Quantum account(s)
provid... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import ClassicalRegister, QuantumRegister, QuantumCircuit
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
qc = QuantumCircuit(qr, cr)
qc.h(range(2))
qc.measure(range(2), range(2))
# apply x gate if the classical register has the value 2 (10 in binary)
qc.x(0).c_if(cr, 2)
# apply y gate if bi... |
https://github.com/MonitSharma/Qiskit-Summer-School-and-Quantum-Challenges | MonitSharma | from IPython.display import Image, display
Image("ryoko.png", width="70")
from IPython.display import Image, display
Image('4lightsout_ex.png')
from qiskit import *
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from qiskit import IBMQ, Aer, execute
provider = IBMQ.load_account()
ad... |
https://github.com/IlliaOvcharenko/quantum-search | IlliaOvcharenko | """
Test Script
"""
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
qrx = QuantumRegister(1, 'q0')
qry = QuantumRegister(1, 'q1')
cr = ClassicalRegister(1, 'c')
qc = QuantumCircuit(qrx, qry, cr)
qc.h(qrx)
qc.x(qry)
qc.h(qry)
qc.barrier()
qc.x(qry)
qc.barrier()
qc.h(qrx)
qc.h(q... |
https://github.com/ShabaniLab/q-camp | ShabaniLab | from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualization import plot_histogram, plot_bloch_multivector
from numpy.random import randint
import numpy as np
print("Imports Successful")
qc = QuantumCircuit(1,1)
# Alice prepares qubit in state |+>
qc.h(0)
qc.barrier()
# Alice now sen... |
https://github.com/abhik-99/Qiskit-Summer-School | abhik-99 | !pip install -U -r grading_tools/requirements.txt
from IPython.display import clear_output
clear_output()
import numpy as np; pi = np.pi
from qiskit import QuantumCircuit, Aer, execute
from qiskit.visualization import plot_histogram
from copy import deepcopy as make_copy
def prepare_hets_circuit(depth, ang... |
https://github.com/Pitt-JonesLab/clonk_transpilation | Pitt-JonesLab | # %%
# %%
# make a plot :)
import matplotlib.pyplot as plt
# plt.style.use(["science", "ieee"])
# plt.plot([0,0], [1,1]);
# plt.style.use(["science", "ieee"])
# I'm not sure why but theon't get updated until after running twice, so monkey fix like this?? styles d
def benchmark(
backends,
circuit... |
https://github.com/ncitron/qiskit-hack | ncitron | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, Aer, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
from qiskit.providers.aer import QasmSimulator
# Loading your IBM Quantum account(s)
provid... |
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