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https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | from qiskit import IBMQ, assemble, transpile
from qiskit.circuit.random import random_circuit
provider = IBMQ.load_account()
backend = provider.backend.ibmq_vigo
qx = random_circuit(n_qubits=5, depth=4) #generate random ckt
transpiled = transpile(qx, backend=backend)
job = backend.run(transpiled)
retrieved_jo... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | import qiskit
qiskit.__qiskit_version__
from qiskit import IBMQ
IBMQ.save_account('TOKEN HERE')
# Replace your API token with 'TOKEN HERE'
IBMQ.load_account() |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | from qiskit import *
from qiskit import QuantumCircuit, assemble, transpile, Aer, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
#quantum_widgets import *
from math import pi, sqrt
from qiskit.visualization import plot_bloch_multivector, plot_histogram
qr = QuantumRegister(2)
c... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | from qiskit import *
from qiskit.tools.visualization import plot_bloch_multivector
circuit = QuantumCircuit(1,1) #init ckt
circuit.x(0)
#Simulate it
simulator = Aer.get_backend('statevector_simulator') #statevector describes the quantum gate state
result = execute(circuit, backend=simulator).result()
state... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | from qiskit import *
circuit = QuantumCircuit(3,3)
# draw ckt
%matplotlib inline
circuit.draw(output='mpl')
# teleport from q0 to q2 (applying x gate)
circuit.x(0)
circuit.barrier()
circuit.draw()
circuit.h(1)
circuit.cx(1,2)
circuit.draw()
circuit.cx(0,1)
circuit.h(0)
circuit.draw()
circui... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | from qiskit import *
%matplotlib inline
from qiskit.tools.visualization import plot_histogram
secretNumber = '101001'
circuit = QuantumCircuit(6+1, 6)
circuit.h((0,1,2,3,4,5))
circuit.x(6)
circuit.h(6)
circuit.barrier()
circuit.cx(5, 6)
circuit.cx(3, 6)
circuit.cx(0, 6)
circuit.barrier()
circuit.... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | import qiskit.quantum_info as qi
from qiskit.circuit.library import FourierChecking #FourierChecking is an algorithm circuit built into the circuit library
from qiskit.visualization import plot_histogram
#these both are functions, among which, we find the corelativity
f=[1,-1,-1,-1]
g=[1,1,-1,-1]
circ = Fou... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | my_list=[1,3,6,8,4,9,5,7,0,5,2] #list of random numbers
#oracle
def the_oracle(my_input):
winner=7
if my_input is winner:
response = True
else:
response = False
return response
#Searching the Oracle
for index, trial_number in enumerate(my_list):
if the_oracle(trial_num... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | import numpy as np
import pylab
import copy
from qiskit import BasicAer
from qiskit.aqua import aqua_globals, QuantumInstance
from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE
from qiskit.aqua.components.optimizers import SLSQP
from qiskit.chemistry.components.initial_states import HartreeFock
fro... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | from qiskit import BasicAer
from qiskit.aqua.algorithms import Grover
from qiskit.aqua.components.oracles import LogicalExpressionOracle
from qiskit.tools.visualization import plot_histogram
log_expr = '((Olivia & Abe) | (Jin & Amira)) & ~(Abe & Amira)'
algorithm = Grover(LogicalExpressionOracle(log_expr))
ba... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | import qiskit
from matplotlib import pyplot as plt
import numpy as np
from qiskit.ml.datasets import ad_hoc_data
from qiskit import BasicAer
from qiskit.aqua import QuantumInstance
from qiskit.circuit.library import ZZFeatureMap
from qiskit.aqua.algorithms import QSVM
from qiskit.aqua.utils import split_datas... |
https://github.com/shell-raiser/Qiskit-Developer-Certification-Notes-and-Code | shell-raiser | 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 = QuantumInstance(backend, shots=1000)
my_shor=Sh... |
https://github.com/Qcatty/Sample-exam-Solution-IBM-Certified-Associate-Developer--Qiskit-v0.2X | Qcatty | # General tools
import numpy as np
import matplotlib.pyplot as plt
import math
# Importing standard Qiskit libraries
from qiskit import execute,QuantumCircuit, QuantumRegister, ClassicalRegister, Aer, transpile, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#from qiskit.providers.aer import Aer, execute
#Custem functions to simplify answers
import Our_Qis... |
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/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/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#Custem functions to simplify answers
import Our_Qiskit_Functions as oq #a part of the ... |
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
import Our_Qiskit_Functions as oq
import numpy as np
import math as m
import random
def f(x):
if( (x==5) or (x==12) or (x==17) or (x==21) )... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | #Libraries needed to implement and simulate quantum circuits
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
from qiskit.providers.basic_provider import BasicProvider # instead of BasicAer
from qi... |
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/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL |
#%matplotlib widgets
import tkinter
import matplotlib
import matplotlib.pyplot as plt
import ipympl
import IPython
#matplotlib.use('TkAgg')
#matplotlib.use('WebAgg')
from qiskit import ClassicalRegister, QuantumRegister, QuantumCircuit, transpile, qasm2, qasm3
from qiskit_aer import Aer
from qiskit.prim... |
https://github.com/InvictusWingsSRL/QiskitTutorials | InvictusWingsSRL | from qiskit import ClassicalRegister, QuantumRegister, QuantumCircuit, transpile
from qiskit_aer import Aer
from qiskit.primitives import BackendSampler
#from qiskit.extensions.simulator import snapshot
#from qiskit.tools.visualization import circuit_drawer
import numpy as np
import math as m
import scipy as sci... |
https://github.com/thoughtpoet/Toward-high-frequency-trading-on-the-quantm-cloud | thoughtpoet | !python3 -m pip install -q qiskit
!python3 -m pip install -q qiskit_ibm_runtime
from qiskit import IBMQ
from qiskit_ibm_runtime import QiskitRuntimeService, Session, Options, Sampler, Estimator
from qiskit.circuit.quantumcircuit import QuantumCircuit
from qiskit.quantum_info.operators import Operator
from qis... |
https://github.com/ryanlevy/shadow-tutorial | ryanlevy | import numpy as np
import matplotlib.pyplot as plt
import qiskit
pauli_list = [
np.eye(2),
np.array([[0.0, 1.0], [1.0, 0.0]]),
np.array([[0, -1.0j], [1.0j, 0.0]]),
np.array([[1.0, 0.0], [0.0, -1.0]]),
]
s_to_pauli = {
"I": pauli_list[0],
"X": pauli_list[1],
"Y": pauli_list[2],
... |
https://github.com/ryanlevy/shadow-tutorial | ryanlevy | import numpy as np
import matplotlib.pyplot as plt
import qiskit
pauli_list = [
np.eye(2),
np.array([[0.0, 1.0], [1.0, 0.0]]),
np.array([[0, -1.0j], [1.0j, 0.0]]),
np.array([[1.0, 0.0], [0.0, -1.0]]),
]
s_to_pauli = {
"I": pauli_list[0],
"X": pauli_list[1],
"Y": pauli_list[2],
... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev import initialize_chain, braid_chain, rotate_to_measurement_basis, add_measurement, initialize_coupler
zeeman_ferro = 0.01
zeeman_para = 10
initial_config = np.array([zeeman_ferro]*3 + [zeeman_par... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev import initialize_chain, run_adiabatic_zeeman_change, rotate_to_measurement_basis, add_measurement
zeeman_ferro = 0.01
zeeman_para = 10
initial_config = np.array([zeeman_ferro, zeeman_ferro, zeema... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev import initialize_chain, move_chain, rotate_to_measurement_basis, add_measurement
zeeman_ferro = 0.01
zeeman_para = 10
initial_config = np.array([zeeman_ferro, zeeman_ferro, zeeman_ferro, zeeman_p... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev import initialize_chain, trotter, rotate_to_measurement_basis, add_measurement, initialize_coupler
zeeman_ferro = 0.01
zeeman_para = 10
initial_config = np.array([zeeman_para, zeeman_ferro, zeeman... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev import initialize_chain, move_chain, rotate_to_measurement_basis, add_measurement
zeeman_ferro = 0.01
zeeman_para = 10
initial_config = np.array([zeeman_ferro, zeeman_ferro, zeeman_ferro, zeeman_p... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev import initialize_chain, run_adiabatic_zeeman_change, rotate_to_measurement_basis, add_measurement
from ising_kitaev import move_chain
zeeman_ferro = 0.01 # value of on-site magnetic field for ferro... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev import initialize_chain, run_adiabatic_zeeman_change, rotate_to_measurement_basis, add_measurement
from ising_kitaev import move_chain, initialize_coupler
zeeman_ferro = 0.01 # value of on-site magn... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev import initialize_chain, run_adiabatic_zeeman_change, rotate_to_measurement_basis, add_measurement
zeeman_ferro = 0.01
zeeman_para = 10
initial_config = np.array([zeeman_ferro, zeeman_ferro, zeema... |
https://github.com/ShabaniLab/qiskit-hackaton-2019 | ShabaniLab | import numpy as np
from qiskit.circuit import QuantumCircuit, QuantumRegister, ClassicalRegister
from ising_kitaev.trotter import interaction_hamiltonian, chain_hamiltonian
qreg = QuantumRegister(5)
qcirc = QuantumCircuit(qreg)
chain_hamiltonian(qcirc, qreg, 0.1, np.array([10, 0.1, 0.1, 0.1])/10, True)
print(qcir... |
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, ceil, pi, sin
#=====================================================================================================================
simulator = Aer.get_backend('statevector_simulator')
def disp_isv(circ,... |
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, ceil, pi, sin
from numpy import savetxt, save, savez_compressed
import sys
#=====================================================================================================================
simulator =... |
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/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | import numpy as np
import random
from qiskit import QuantumCircuit, Aer, execute
from math import log2, ceil, pi
from numpy import savetxt, save, savez_compressed
#=====================================================================================================================
simulator = Aer.get_backend(... |
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, ceil, pi
from numpy import savetxt, save, savez_compressed
#=====================================================================================================================
simulator = Aer.get_backend(... |
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, ceil, pi, sin
from numpy import savetxt, save, savez_compressed
import sys
#=====================================================================================================================
simulator =... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | from qiskit import QuantumCircuit
import numpy as np
import random
from qiskit import Aer, execute
from math import log2, ceil, pi
circ = QuantumCircuit(8)
simulator = Aer.get_backend('statevector_simulator')
def disp_isv(circ, msg="", all=True, precision=1e-8):
sim_res = execute(circ, simulator).result(... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | import qiskit
print("hello many worlds") |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | #from qiskit import QuantumRegister, ClassicalRegister
#from qiskit.tools.visualization import plot_histogram, plot_state_city
from qiskit import QuantumCircuit
circ = QuantumCircuit(2, 2)
import numpy as np
circ.initialize([1, 1, 0, 0] / np.sqrt(2), [0, 1])
circ.h(0)
circ.cx(0, 1)
circ.measure([0,1], [0,... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | from qiskit import QuantumCircuit
circ = QuantumCircuit(1)
import numpy as np
# circ.initialize([1, 1, 0, 0] / np.sqrt(2), [0, 1])
circ.ry(np.pi/2,0)
from qiskit import Aer, execute
simulator = Aer.get_backend('statevector_simulator')
sim_res = execute(circ, simulator).result()
statevector = sim_res.get_sta... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | from qiskit import QuantumCircuit
import numpy as np
import random
from qiskit import Aer, execute
circ = QuantumCircuit(4)
simulator = Aer.get_backend('statevector_simulator')
def display(circ):
sim_res = execute(circ, simulator).result()
statevector = sim_res.get_statevector(circ)
print("============ ... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | from qiskit import QuantumCircuit
import numpy as np
import random
from qiskit import Aer, execute
qubits = 17
circ = QuantumCircuit(qubits)
simulator = Aer.get_backend('statevector_simulator')
def display(circ):
sim_res = execute(circ, simulator).result()
statevector = sim_res.get_statevector(circ)
pr... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | from qiskit import QuantumCircuit
import numpy as np
import random
from qiskit import Aer, execute
import math
circ = QuantumCircuit(4)
simulator = Aer.get_backend('statevector_simulator')
def display(circ,msg=""):
sim_res = execute(circ, simulator).result()
statevector = sim_res.get_statevector(circ)
... |
https://github.com/Advanced-Research-Centre/QPULBA | Advanced-Research-Centre | from qiskit import QuantumCircuit
import numpy as np
import random
from qiskit import Aer, execute
import math
simulator = Aer.get_backend('statevector_simulator')
def display(circ,msg=""):
sim_res = execute(circ, simulator).result()
statevector = sim_res.get_statevector(circ)
qb = int(math.log2(len(sta... |
https://github.com/carstenblank/qiskit-aws-braket-provider | carstenblank | import cmath
import math
import numpy as np
import qiskit
import matplotlib.pyplot as plt
from qiskit import QuantumCircuit
from typing import Optional, List, Dict
from qiskit_aws_braket_provider.awsprovider import AWSProvider
def compute_rotation(index_state):
if len(index_state) != 2:
re... |
https://github.com/carstenblank/qiskit-aws-braket-provider | carstenblank | # Copyright 2020 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/carstenblank/qiskit-aws-braket-provider | carstenblank | # Copyright 2020 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/carstenblank/qiskit-aws-braket-provider | carstenblank | # This code is part of Qiskit.
#
# (C) 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.
#
# Any modi... |
https://github.com/maheshwaripranav/Qiskit-Fall-Fest-Kolkata-Hackathon | maheshwaripranav | import numpy as np
from qiskit import QuantumCircuit, Aer
import matplotlib.pyplot as plt
angles = np.array([ord("Z")-ord(i) for i in input().upper()])
print(angles)
angles = 2*np.arcsin(np.sqrt(angles/25))
print(angles)
n = len(angles)
qc = QuantumCircuit(n,n)
for i in range(len(angles)):
qc.ry(angle... |
https://github.com/maheshwaripranav/Qiskit-Fall-Fest-Kolkata-Hackathon | maheshwaripranav | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, Aer, IBMQ, QuantumRegister, ClassicalRegister
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
from qiskit.providers.aer import QasmSimulator
import qisk... |
https://github.com/maheshwaripranav/Qiskit-Fall-Fest-Kolkata-Hackathon | maheshwaripranav | # Essentials
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Classical Machine Learning
from sklearn.svm import SVC
from sklearn.datasets import make_blobs, make_circles
from sklearn.cluster import SpectralClustering
from sklearn.metrics import normalized_mutual_info_score, accuracy_s... |
https://github.com/maheshwaripranav/Qiskit-Fall-Fest-Kolkata-Hackathon | maheshwaripranav | import qiskit
import numpy as np
import math
import random
import pandas as pd
from qiskit import IBMQ
IBMQ.save_account('3ccb2d17a0f19c3ce64cf44b3e1c90d3369ea562672f7315624ee8d92bb4350e10b643e3b2af92eef73c029e051518c2a833fb0ffa2e600b2c6c65ed5dd29d40')
IBMQ.load_account()
from qiskit import *
import math as... |
https://github.com/maheshwaripranav/Qiskit-Fall-Fest-Kolkata-Hackathon | maheshwaripranav | # Essentials
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Classical Machine Learning
from sklearn.svm import SVC
from sklearn.datasets import make_blobs, make_circles
from sklearn.cluster import SpectralClustering
from sklearn.metrics import normalized_mutual_info_score, accuracy_s... |
https://github.com/maheshwaripranav/Qiskit-Fall-Fest-Kolkata-Hackathon | maheshwaripranav | import qiskit
import numpy as np
import math
import random
import pandas as pd
from qiskit import IBMQ
IBMQ.save_account('3ccb2d17a0f19c3ce64cf44b3e1c90d3369ea562672f7315624ee8d92bb4350e10b643e3b2af92eef73c029e051518c2a833fb0ffa2e600b2c6c65ed5dd29d40')
IBMQ.load_account()
from qiskit import *
import math as... |
https://github.com/AsishMandoi/VRP-explorations | AsishMandoi | import pandas as pd
with open('Results/sol9_2.log', 'r') as file:
data = file.read()
rows_list = []
for dline in data.split('\n\n'):
if dline.startswith('n = '):
lines=dline.split('\n')
for line in lines:
if line.startswith('n = '):
words=line.split(', ')
for word in word... |
https://github.com/AsishMandoi/VRP-explorations | AsishMandoi | from utils import random_routing_instance
from TSP.classical.gps import GPS as GPSc
from TSP.quantum.gps import GPS as GPSq
from TSP.quantum.fqs import FQS as FQSq
n=8
cost, xc, yc = random_routing_instance(n, seed=0)
GPSc(n, cost, xc, yc)
fqs = FQSq(n, cost, xc, yc)
res = fqs.solve()
fqs.visualize()... |
https://github.com/AsishMandoi/VRP-explorations | AsishMandoi | import numpy as np
class Initializer:
def __init__(self, n, a, b):
self.n = n
self.a = a
self.b = b
def generate_nodes_and_weight_matrix(self):
n = self.n
a = self.a
b = self.b
np.random.seed(100*a + b)
x = (np.random... |
https://github.com/AsishMandoi/VRP-explorations | AsishMandoi | import numpy as np
from utils import compare_solvers
class Initializer:
def __init__(self, n, a, b):
self.n = n
self.a = a
self.b = b
def generate_nodes_and_weight_matrix(self):
n = self.n
a = self.a
b = self.b
np.random.seed(1... |
https://github.com/AsishMandoi/VRP-explorations | AsishMandoi | import numpy as np
import pandas as pd
class Initializer:
def __init__(self, n, a, b):
self.n = n
self.a = a
self.b = b
def generate_nodes_and_weight_matrix(self):
n = self.n
a = self.a
b = self.b
np.random.seed(100*a + b)
... |
https://github.com/AsishMandoi/VRP-explorations | AsishMandoi | import time
from dwave_qbsolv.dimod_wrapper import QBSolv
import hybrid
import dwave.inspector
from greedy import SteepestDescentSolver
from dwave.system import LeapHybridSampler, DWaveSampler, EmbeddingComposite
from neal import SimulatedAnnealingSampler
from qiskit_optimization.algorithms import MinimumEigen... |
https://github.com/AsishMandoi/VRP-explorations | AsishMandoi | import numpy as np
import utility
from full_qubo_solver import FullQuboSolver
from average_partition_solver import AveragePartitionSolver
from qiskit_native_solver import QiskitNativeSolver
from route_activation_solver import RouteActivationSolver
from clustered_tsp_solver import ClusteredTspSolver
from soluti... |
https://github.com/AsishMandoi/VRP-explorations | AsishMandoi | import utility
%config InlineBackend.figure_format = 'svg'
from full_qubo_solver import FullQuboSolver as FQS
from average_partition_solver import AveragePartitionSolver as APS
from qiskit_native_solver import QiskitNativeSolver as QNS
from route_activation_solver import RouteActivationSolver as RAS
from soluti... |
https://github.com/MonitSharma/qiskit-projects | MonitSharma | #imports
import qiskit
import numpy as np
from qiskit.visualization import plot_histogram
# model
class Model:
simulator = qiskit.Aer.get_backend('qasm_simulator')
def draw_current_circuit(self):
print(self.add_circuit.draw())
# initialize 2 qubits
def __init__(self):
... |
https://github.com/MonitSharma/qiskit-projects | MonitSharma | import numpy as np
import random
import matplotlib.pyplot as plt
from sklearn.neighbors import KNeighborsClassifier
from sklearn.neighbors import NearestCentroid
from IPython.display import clear_output
import pandas as pd
# =======================================================
import math
import time
from ... |
https://github.com/MonitSharma/qiskit-projects | MonitSharma | import numpy as np
import random
import matplotlib.pyplot as plt
from sklearn.neighbors import KNeighborsClassifier
from sklearn.neighbors import NearestCentroid
from IPython.display import clear_output
import pandas as pd
# =======================================================
import math
import time
from ... |
https://github.com/MonitSharma/qiskit-projects | MonitSharma | from functions import BinPacking, BinPackingNewApproach, new_eq_optimal, get_figure, interpret, eval_constrains
from functions import mapping_cost, cost_func, qaoa_circuit, check_best_sol
from qiskit.algorithms import QAOA, NumPyMinimumEigensolver
from qiskit_optimization.algorithms import CplexOptimizer, MinimumEi... |
https://github.com/MonitSharma/qiskit-projects | MonitSharma | # -*- coding: utf-8 -*-
# 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.... |
https://github.com/MonitSharma/qiskit-projects | MonitSharma | import numpy as np
import matplotlib.pyplot as plt
from docplex.mp.model import Model
from qiskit import BasicAer
from qiskit.algorithms import QAOA, NumPyMinimumEigensolver
from qiskit_optimization.algorithms import CplexOptimizer, MinimumEigenOptimizer
from qiskit_optimization.algorithms.admm_optimizer import... |
https://github.com/MonitSharma/qiskit-projects | MonitSharma | from functions import Knapsack,KnapsackNewApproach,new_eq_optimal_knapsack,get_figure_knapsack,eval_constrains_knapsack
from functions import mapping_cost
from qiskit.algorithms import QAOA, NumPyMinimumEigensolver
from qiskit_optimization.algorithms import CplexOptimizer, MinimumEigenOptimizer
from qiskit.algorith... |
https://github.com/MonitSharma/qiskit-projects | MonitSharma | 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/MonitSharma/qiskit-projects | MonitSharma | import math
import matplotlib.pyplot as plt
%matplotlib inline
class TSP:
def __init__(self):
self.flat_mat = flat_mat
self.n = 0
self.melhor_dist = 1e11
self.pontos = []
self.melhores_pontos = []
def busca_exaustiva(self, flat_mat, n, ite):
... |
https://github.com/joshy91/PythonQiskit | joshy91 | 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/joshy91/PythonQiskit | joshy91 | 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/joshy91/PythonQiskit | joshy91 | 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/joshy91/PythonQiskit | joshy91 | 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/joshy91/PythonQiskit | joshy91 | 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/toticavalcanti/qiskit_examples | toticavalcanti | from qiskit import IBMQ
IBMQ.save_account('seu token')
from qiskit import *
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
circuit = QuantumCircuit(qr, cr)
%matplotlib inline
circuit.draw()
circuit.h(0)
circuit.draw(output='mpl')
circuit.cx(0,1) # order is: control(0) and target(1)
circui... |
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/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/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/qBraid/qBraid | qBraid | '''
qiskitpool/job.py
Contains the QJob class
'''
from functools import partial
from qiskit import execute
class QJob():
'''
QJob
Job manager for asynch qiskit backends
'''
def __init__(self, *args, qjob_id=None, **kwargs):
'''
QJob.__init__
... |
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/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/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/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/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/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/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-... |
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