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 pulse
d0 = pulse.DriveChannel(0)
d1 = pulse.DriveChannel(1)
with pulse.build() as pulse_prog:
with pulse.align_right():
# this pulse will start at t=0
pulse.play(pulse.Constant(100, 1.0), d0)
# this pulse will start at t=80
pulse.play(pulse.Constant(20,... |
https://github.com/urwin419/QiskitChecker | urwin419 | from qiskit import QuantumCircuit
def create_bell_pair():
qc = QuantumCircuit(2)
qc.h(1)
### added h gate ###
qc.h(1)
qc.cx(1, 0)
return qc
def encode_message(qc, qubit, msg):
if len(msg) != 2 or not set([0,1]).issubset({0,1}):
raise ValueError(f"message '{msg}' is inva... |
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/Pitt-JonesLab/slam_decomposition | Pitt-JonesLab | # need to make figure which shows curved path to build CX and SWAP
# ideally on the same weyl chamber plot
from slam.utils.pd_playground import ParallelDrivenGateWidget, ImprovedCX, ImprovedSWAP
import numpy as np
from slam.utils.visualize import coordinate_2dlist_weyl
from weylchamber import c1c2c3
cx = Impr... |
https://github.com/SaashaJoshi/IBM-Qiskit-Summer-School-2020 | SaashaJoshi | !pip install -U -r grading_tools/requirements.txt
from IPython.display import clear_output
clear_output()
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-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 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/mathelatics/QGSS-2023-From-Theory-to-Implementations | mathelatics | from qiskit import *
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
secret_number = '101001'
qc = QuantumCircuit(6+1, 6)
qc.h([0, 1, 2, 3, 4, 5])
qc.x(6)
qc.h(6)
qc.barrier()
qc.draw(output='mpl')
# building box of secret number
qc.cx(5, 6)
qc.cx(3, 6)
qc.cx(0, 6)
qc.... |
https://github.com/acfilok96/Quantum-Computation | acfilok96 | from qiskit import *
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
circuit = QuantumCircuit(qr, cr)
%matplotlib inline
circuit.draw()
circuit.h(qr[0])
circuit.draw(output = 'mpl')
circuit.cx(qr[0], qr[1])
circuit.draw(output='mpl')
circuit.measure(qr, cr)
circuit.draw(output='mpl')
... |
https://github.com/abhik-99/Qiskit-Summer-School | abhik-99 | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
#... |
https://github.com/swe-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/jcylim/QiskitProject | jcylim | # useful additional packages
import matplotlib.pyplot as plt
#%matplotlib inline
import numpy as np
from pprint import pprint
# importing QISKit
from qiskit import QuantumProgram, QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import available_backends, execute, register, least_busy
# import... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import IBMQ, transpile
from qiskit import QuantumCircuit
from qiskit_aer import AerSimulator
from qiskit.tools.visualization import plot_histogram
from qiskit.providers.fake_provider import FakeVigo
device_backend = FakeVigo()
# Construct quantum circuit
circ = QuantumCircuit(3, 3)
circ.h(0)
ci... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | # You can choose different colors for the real and imaginary parts of the density matrix.
from qiskit import QuantumCircuit
from qiskit.quantum_info import DensityMatrix
from qiskit.visualization import plot_state_city
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0, 1)
state = DensityMatrix(qc)
plot_state_city(st... |
https://github.com/swe-bench/Qiskit__qiskit | swe-bench | # This code is part of Qiskit.
#
# (C) Copyright IBM 2019.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or deriv... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
qc = QuantumCircuit(12)
for idx in range(5):
qc.h(idx)
qc.cx(idx, idx+5)
qc.cx(1, 7)
qc.x(8)
qc.cx(1, 9)
qc.x(7)
qc.cx(1, 11)
qc.swap(6, 11)
qc.swap(6, 9)
qc.swap(6, 10)
qc.x(6)
qc.draw('mpl') |
https://github.com/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/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.tools.monitor import job_monitor
from qiskit import Aer
from qiskit.providers.aer.noise import NoiseModel
from qiskit import Quant... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
qc = QuantumCircuit(2, 2)
qc.h(0)
qc.cx(0, 1)
qc.measure([0, 1], [0, 1])
qc.draw('mpl') |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver(
atom="H 0 0 0; H 0 0 0.72" # Two Hydrogen atoms, 0.72 Angstrom apart
)
molecule = driver.run()
from qiskit_nature.second_q.mappers import QubitConverter, ParityMapper
qubit_converter = QubitConverter(ParityMapper())
hamiltonian =... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or deriv... |
https://github.com/jeevesh2002/QuantumKatasQiskit | jeevesh2002 | # Run this cell using Ctrl+Enter (⌘+Enter on Mac).
from testing import exercise
from typing import Tuple
import math
Complex = Tuple[float, float]
Polar = Tuple[float, float]
@exercise
def imaginary_power(n : int) -> int:
# If n is divisible by 4
if n % 4 == 0:
return 1
else:
... |
https://github.com/UST-QuAntiL/qiskit-service | UST-QuAntiL | # ******************************************************************************
# Copyright (c) 2021 University of Stuttgart
#
# See the NOTICE file(s) distributed with this work for additional
# information regarding copyright ownership.
#
# Licensed under the Apache License, Version 2.0 (the "License");
#... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | import numpy as np
from qiskit_nature.second_q.hamiltonians import QuadraticHamiltonian
# create Hamiltonian
hermitian_part = np.array(
[
[1.0, 2.0, 0.0, 0.0],
[2.0, 1.0, 2.0, 0.0],
[0.0, 2.0, 1.0, 2.0],
[0.0, 0.0, 2.0, 1.0],
]
)
antisymmetric_part = np.array(
[... |
https://github.com/tomtuamnuq/compare-qiskit-ocean | tomtuamnuq | import time
from dwave.system import DWaveCliqueSampler, LeapHybridSampler
from qiskit.optimization.algorithms import CplexOptimizer
from random_lp.lp_random_gen import create_models
from utilities.helpers import create_dwave_meo
DIR = 'TEST_DATA' + "/" + "14_03_2021" + "/DENSE/"
# select linear program t... |
https://github.com/swe-train/qiskit__qiskit | swe-train | # 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/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit_nature.second_q.drivers import PySCFDriver
driver = PySCFDriver()
problem = driver.run()
fermionic_op = problem.hamiltonian.second_q_op()
from qiskit_nature.second_q.mappers import JordanWignerMapper
mapper = JordanWignerMapper()
qubit_jw_op = mapper.map(fermionic_op)
print(qubit_jw_op)
fr... |
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, execute
from qiskit.visualization import plot_error_map
from qiskit.providers.fake_provider import FakeVigoV2
backend = FakeVigoV2()
plot_error_map(backend) |
https://github.com/Qubit-MU/Qiskit_Fall_Fest_2023 | Qubit-MU | ########################################
# ENTER YOUR NAME AND WISC EMAIL HERE: #
########################################
# Name: Rochelle Li
# Email: rli484@wisc.edu
## Run this cell to make sure your grader is setup correctly
%set_env QC_GRADE_ONLY=true
%set_env QC_GRADING_ENDPOINT=https://qac-grading.q... |
https://github.com/AllenGabrielMarchen/HHL_implementation | AllenGabrielMarchen | #setup.py
import numpy as np
from scipy.linalg import expm
from qiskit.extensions import UnitaryGate
from qiskit.circuit.add_control import add_control
from qiskit import Aer
import circuit
import hhl
import tools
#참고 논문 :Low Complexity Quantum Matrix Inversion A기gorithm for non-Hermitian Matrices
d... |
https://github.com/ttlion/ShorAlgQiskit | ttlion | """ This file allows to test the Multiplication blocks Ua. This blocks, when put together as explain in
the report, do the exponentiation.
The user can change N, n, a and the input state, to create the circuit:
up_reg |+> ---------------------|----------------------- |+>
... |
https://github.com/MadhavJivrajani/pyQSR | MadhavJivrajani | # -*- coding: utf-8 -*-
# pylint: disable=no-member
"""An IBM Qiskit implementation of quantum shift registers."""
__author__ = "Madhav Jivrajani"
from qiskit import QuantumCircuit, execute, Aer
from qiskit.circuit.exceptions import CircuitError
class QuantumLeftShift:
"""Circuit to implement a quant... |
https://github.com/BOBO1997/osp_solutions | BOBO1997 | import sys, time
sys.path.append("../")
import Qconfig
qx_config = {
"APItoken": Qconfig.APItoken,
"url": Qconfig.config['url']}
print('Qconfig loaded from %s.' % Qconfig.__file__)
# Imports
import qiskit as qk
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qisk... |
https://github.com/quantumjim/qreative | quantumjim | from qiskit import IBMQ
IBMQ.save_account('MY_API_TOKEN')
from qiskit import IBMQ
IBMQ.load_accounts()
from qiskit import IBMQ
IBMQ.enable_account('MY_API_TOKEN')
IBMQ.backends()
import CreativeQiskit
result = CreativeQiskit.bell_correlation('ZZ',device='ibmq_16_melbourne')
print(' Probability of ... |
https://github.com/urwin419/QiskitChecker | urwin419 | from qiskit import QuantumCircuit
def create_bell_pair():
qc = QuantumCircuit(2)
qc.h(1)
### added y gate ###
qc.cx(0, 1)
qc.cx(1, 0)
return qc
def encode_message(qc, qubit, msg):
if len(msg) != 2 or not set([0,1]).issubset({0,1}):
raise ValueError(f"message '{msg}' is ... |
https://github.com/qiskit-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit
from qiskit.quantum_info import DensityMatrix
from qiskit.visualization import plot_state_city
qc = QuantumCircuit(2)
qc.h(0)
qc.cx(0,1)
# plot using a DensityMatrix
state = DensityMatrix(qc)
plot_state_city(state) |
https://github.com/agneya-1402/Quantum-HalfAdder | agneya-1402 | 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 import *
# Loading your IBM Quantum account(s)
#provider = IBMQ.load_account()
... |
https://github.com/Herbrant/shor-algorithm-qiskit | Herbrant | """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-community/qiskit-translations-staging | qiskit-community | from qiskit import QuantumCircuit, transpile
from qiskit.visualization import plot_circuit_layout
from qiskit.providers.fake_provider import FakeVigo
backend = FakeVigo()
ghz = QuantumCircuit(3, 3)
ghz.h(0)
ghz.cx(0,range(1,3))
ghz.barrier()
ghz.measure(range(3), range(3))
new_circ_lv0 = transpile(ghz, bac... |
https://github.com/lancecarter03/QiskitLearning | lancecarter03 | from qiskit import *
from qiskit.tools.visualization import plot_histogram
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
circuit = QuantumCircuit(qr,cr)
circuit.decompose().draw(output="mpl", initial_state=True)
circuit.h(qr[0])
circuit.draw(output="mpl")
circuit.cx(qr[0],qr[1])
circuit.draw(... |
https://github.com/1chooo/Quantum-Oracle | 1chooo | from qiskit import QuantumCircuit
import math
qc = QuantumCircuit(3)
qc.rx(math.pi/2, 0)
qc.ry(math.pi/2, 1)
qc.rz(math.pi/2, 2)
qc.draw("mpl") |
https://github.com/sebasmos/QuantumVE | sebasmos | import sys
sys.path.insert(0,'../')
from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.optim.lr_scheduler import StepLR
from torch.utils.data import random... |
https://github.com/jonasmaziero/computacao_quantica_qiskit | jonasmaziero | |
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/MonitSharma/Qiskit-Summer-School-and-Quantum-Challenges | MonitSharma | # 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,... |
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