repo stringclasses 900
values | file stringclasses 754
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https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | import sys, math, logging
import numpy as np
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, QiskitError
class HWEA:
"""
Class to implement a hardware efficient ansatz for the QAOA algorithm.
Based on the community detection circuit implemented by Francois-Marie Le Régent.
... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | import sys
import math
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
class QFT:
"""
Class which generates the circuit to perform the Quantum Fourier
Transform (or its inverse) as described in Mike & Ike Chapter 5.
(Michael A Nielsen and Isaac L Ch... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | from qiskit import QuantumCircuit, QuantumRegister
import sys
import math
import numpy as np
class QWALK:
"""
Class to implement the Quantum Walk algorithm as described
in Childs et al. (https://arxiv.org/abs/quant-ph/0209131)
A circuit implementing the quantum walk can be generated for a ... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | from .Qbit_original import Qbit
from .cz_layer_generation import get_layers
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import math
import sys
import numpy as np
class Qgrid:
"""
Class to implement the quantum supremacy circuits as found
in https://www.nature.com/artic... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | from .Qbit_Sycamore import Qbit
from .ABCD_layer_generation import get_layers
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import math
import sys
import numpy as np
class Qgrid:
"""
Class to implement the quantum supremacy circuits as found
in Arute, F., Arya, K., Babbu... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | import sys
from qiskit import Aer, execute
from quantum_circuit_generator.generators import gen_hwea
n = 6
circ = gen_hwea(n, 1)
print(circ)
simulator = Aer.get_backend("statevector_simulator")
result = execute(circ, simulator).result()
sv = result.get_statevector(circ)
print(sv)
# entanglement measur... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | """
Teague Tomesh - 3/25/2019
Implementation of the UCCSD ansatz for use in the VQE algorithm.
Based on the description given in Whitfield et al.
(https://arxiv.org/abs/1001.3855?context=physics.chem-ph)
Adapted from a Scaffold implementation by Pranav Gokhale]
(https://github.com/epiqc/ScaffCC)
NOTE:
... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | import numpy as np
import pytest
from qiskit import Aer
from qiskit.algorithms.gradients import ReverseEstimatorGradient
from qiskit.circuit.library import TwoLocal
from qiskit.primitives import Estimator
from qiskit.quantum_info import SparsePauliOp
np.random.seed(0)
max_parallel_threads = 12
gpu = Fals... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | from qiskit.providers.jobstatus import JobStatus
from qiskit.transpiler import CouplingMap
from datetime import timedelta, datetime
from pytz import timezone
import time, subprocess, os, pickle, logging, qiskit_ibm_provider
import qiskit_ibm_provider.hub_group_project
from qiskit_ibm_runtime import IBMBackend
fr... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | import random, pickle, os, copy, random, qiskit_aer, psutil
from qiskit import QuantumCircuit
from qiskit.converters import circuit_to_dag, dag_to_circuit
from qiskit.dagcircuit.dagcircuit import DAGCircuit
from qiskit.quantum_info import Statevector
import numpy as np
from qiskit_helper_functions.conversions i... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | from qiskit import QuantumCircuit
from qiskit.circuit.library import CPhaseGate, HGate, TGate, XGate, YGate, ZGate
from qiskit.converters import circuit_to_dag, dag_to_circuit
import random, itertools
class RandomCircuit(object):
def __init__(self, width, depth, connection_degree, num_hadamards, seed) -> N... |
https://github.com/weiT1993/qiskit_helper_functions | weiT1993 | # 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/fvarchon/qiskit-intros | fvarchon | from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumCircuit, Aer, execute
from qiskit_aqua.algorithms import Grover
from qiskit.ignis.verification.randomized_benchmarking import RBFitter
from qiskit_chemistry import QiskitChemistry
api_token = ''
url = ''
from qiskit import IB... |
https://github.com/fvarchon/qiskit-intros | fvarchon | # Your first Qiskit application
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
qr = QuantumRegister(2) # qubits indexed as qr[0], qr[1] and qr[2]
cr = ClassicalRegister(2) # classical bits indexed as cr[0], cr[1] and cr[2]
circuit = QuantumCircuit(qr, cr)
circuit.h(qr[0])
circuit.cx(qr[... |
https://github.com/fvarchon/qiskit-intros | fvarchon | # 30 qubits = 16 GB
num_qubits = 32
memoryneeded_GB = 16 * 2 ** (num_qubits - 30)
print(memoryneeded_GB)
# qiskit imports
from qiskit import Aer
from qiskit import IBMQ, execute
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.tools.visualization import plot_histogram, plot_st... |
https://github.com/fvarchon/qiskit-intros | fvarchon | from qiskit import execute
from qiskit import transpiler
help(execute)
from qiskit import Aer, BasicAer
backend = Aer.get_backend("qasm_simulator")
help(backend)
backend = BasicAer.get_backend("qasm_simulator")
help(backend)
|
https://github.com/obliviateandsurrender/Quantum-Approximate-Thermalization | obliviateandsurrender | # Libraries Import
import itertools
import numpy as np
from functools import reduce, partial
from scipy.optimize import minimize
import matplotlib.pyplot as plt
%matplotlib inline
# Qiskit
from qiskit import BasicAer, QuantumRegister, QuantumCircuit, ClassicalRegister
from qiskit import execute
from qiskit... |
https://github.com/cjsproject/qiskit_learning | cjsproject | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.visualization import *
from os import environ
#local environment variable to store the access token :)
token = environ.get('ibmq_token')
# Loading IBM Q account
account = IBMQ.save_acco... |
https://github.com/cjsproject/qiskit_learning | cjsproject | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ, assemble
from qiskit.visualization import *
from os import environ
#local environment variable to store the access token :)
token = environ.get('ibmq_token')
# Loading your IBM Q account(s)
accoun... |
https://github.com/cjsproject/qiskit_learning | cjsproject | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ, assemble, extensions
from qiskit.visualization import *
from os import environ
#local environment variable to store the access token :)
token = environ.get('ibmq_token')
# Loading your IBM Q acco... |
https://github.com/cjsproject/qiskit_learning | cjsproject | import numpy as np
from matplotlib.image import imread
import matplotlib.pyplot as plt
import torch
from torchvision import transforms
from torchvision.datasets import MNIST
# the data is not normalized, and needs to be converted to a np array...
digits = MNIST('data', train=True, download=False)
# conver... |
https://github.com/cjsproject/qiskit_learning | cjsproject | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import sklearn
from sklearn import datasets
from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumRegister
from qiskit import QuantumCircuit
from qiskit import Aer, execute
from math import pi,log
from qiskit im... |
https://github.com/cjsproject/qiskit_learning | cjsproject | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from os import environ
# Grab env var
token = environ.get('ibmq_token')
# ... |
https://github.com/cjsproject/qiskit_learning | cjsproject | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from os import environ
print(environ.get('QISKIT_TOKEN'))
# Loading your IBM Q account(s)
provider = IBMQ.load_account()
# quasm_sim
simulator = Aer.get_backend('qasm_simulator')
# circuit on ... |
https://github.com/cjsproject/qiskit_learning | cjsproject | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ, assemble
from qiskit.visualization import *
from os import environ
#local environment variable to store the access token :)
token = environ.get('ibmq_token')
# Loading your IBM Q account(s)
accoun... |
https://github.com/cjsproject/qiskit_learning | cjsproject | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ, assemble, extensions
from qiskit.visualization import *
from os import environ
#local environment variable to store the access token :)
token = environ.get('ibmq_token')
# Loading your IBM Q acco... |
https://github.com/cjsproject/qiskit_learning | cjsproject | import numpy as np
from matplotlib.image import imread
import matplotlib.pyplot as plt
import torch
from torchvision import transforms
from torchvision.datasets import MNIST
# the data is not normalized, and needs to be converted to a np array...
digits = MNIST('data', train=True, download=False)
# conver... |
https://github.com/cjsproject/qiskit_learning | cjsproject | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import sklearn
from sklearn import datasets
from qiskit import QuantumRegister, ClassicalRegister
from qiskit import QuantumRegister
from qiskit import QuantumCircuit
from qiskit import Aer, execute
from math import pi,log
from qiskit im... |
https://github.com/cjsproject/qiskit_learning | cjsproject | %matplotlib inline
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
# Loading your IBM Q account(s)
provider = IBMQ... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | """
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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # This code is part of Qiskit.
#
# (C) Copyright IBM 2018, 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or deriv... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | import sys
import os
current_dir = os.getcwd()
sys.path.append(current_dir)
from quantum_circuit import QuantumCircuit
# import qiskit.providers.fake_provider
from qiskit.transpiler import CouplingMap
import qiskit_ibm_runtime.fake_provider
from Backend.backend import Backend
class FakeBackend(Backend):
... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or... |
https://github.com/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # This code is part of Qiskit.
#
# (C) Copyright IBM 2019, 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # -*- 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/DaisukeIto-ynu/KosakaQ | DaisukeIto-ynu | # 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/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 ...
else:
... |
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/jeevesh2002/QuantumKatasQiskit | jeevesh2002 | # Run this cell using Ctrl+Enter (⌘+Enter on Mac).
from testing import exercise, create_empty_matrix
from typing import List
import math, cmath
Matrix = List[List[complex]]
@exercise
def matrix_add(a : Matrix, b : Matrix) -> Matrix:
# You can get the size of a matrix like this:
rows = len(a)
... |
https://github.com/jeevesh2002/QuantumKatasQiskit | jeevesh2002 | # Run this cell using Ctrl+Enter (⌘+Enter on Mac).
from testing import exercise, create_empty_matrix
from typing import List
import math, cmath
Matrix = List[List[complex]]
@exercise
def matrix_add(a : Matrix, b : Matrix) -> Matrix:
# You can get the size of a matrix like this:
rows = len(a)
... |
https://github.com/jeevesh2002/QuantumKatasQiskit | jeevesh2002 | from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
# Create a Quantum Circuit acting on the q register
circuit = QuantumCircuit(1)
# print the statevector
print(f"Initial Statevector: {Statevector.from_instruction(circuit).data}\n\n")
# Add an X gate followed by a H gate to put th... |
https://github.com/jeevesh2002/QuantumKatasQiskit | jeevesh2002 | from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
# Create a quantum circuit with one qubit
qc = QuantumCircuit(1)
# Put the qubit into an uneven superposition
# ry(theta) is a rotation around the y-axis by angle theta
qc.ry(1.0, 0)
# Print the statevector |𝜓❭
print(f"The Qubi... |
https://github.com/jeevesh2002/QuantumKatasQiskit | jeevesh2002 | %kata T1_ApplyY
operation ApplyY (q : Qubit) : Unit is Adj+Ctl {
Y(q); // As simple as that
}
%kata T2_GlobalPhaseI
operation GlobalPhaseI (q : Qubit) : Unit is Adj+Ctl {
Z(q);
Y(q);
X(q);
}
%kata T3_SignFlipOnZero
operation SignFlipOnZero (q : Qubit) : Unit is Adj+Ctl {
X(q); ... |
https://github.com/Slope86/QiskitExtension | Slope86 | from qiskit_extension.quantum_circuit2 import QuantumCircuit2 as qc2
from qiskit_extension.state_vector2 import StateVector2 as sv2
circuit_EPR = qc2(2)
# 1. 在qubit 0 的位置放入一個Hadamard gate
circuit_EPR.h(0)
# 2. 放入一個CNOT gate, 控制qubit為0, 目標qubit為1
circuit_EPR.cx(0, 1)
# 3. 繪製電路圖
circuit_EPR.show_circ()
... |
https://github.com/Slope86/QiskitExtension | Slope86 | import math
import random
from qiskit_extension.quantum_circuit2 import QuantumCircuit2 as qc2
from qiskit_extension.state_vector2 import StateVector2 as sv2
state_unknown = sv2.from_label((random.random(), "0"), (random.random(), "1"))
state_unknown.show_state()
# Create a 2bits quantum circuit
circ_init ... |
https://github.com/Slope86/QiskitExtension | Slope86 | import math
from qiskit_extension.quantum_circuit2 import QuantumCircuit2 as qc2
from qiskit_extension.state_vector2 import StateVector2 as sv2
# Create a 4bits quantum circuit
circ_init = qc2(4)
# Make ground state qubit(0,1) and qubit(2,3) entangled into two EPR pairs
circ_init.h([0,2])
circ_init.cx([0,2... |
https://github.com/Slope86/QiskitExtension | Slope86 | from qiskit_extension.quantum_circuit2 import QuantumCircuit2 as qc2
from qiskit_extension.state_vector2 import StateVector2 as sv2
circuit_EPR = qc2(2)
# 1. put a Hadamard gate in the qubit 0 position
circuit_EPR.h(0)
# 2. put a CNOT gate, control qubit 0, target qubit 1
circuit_EPR.cx(0, 1)
# 3. draw t... |
https://github.com/Slope86/QiskitExtension | Slope86 | import math
import random
from qiskit_extension.quantum_circuit2 import QuantumCircuit2 as qc2
from qiskit_extension.state_vector2 import StateVector2 as sv2
state_unknown = sv2.from_label((random.random(), "0"), (random.random(), "1"))
state_unknown.show_state()
# Create a 2bits quantum circuit
circ_init ... |
https://github.com/Slope86/QiskitExtension | Slope86 | import math
from qiskit_extension.quantum_circuit2 import QuantumCircuit2 as qc2
from qiskit_extension.state_vector2 import StateVector2 as sv2
# Create a 4bits quantum circuit
circ_init = qc2(4)
# Make ground state qubit(0,1) and qubit(2,3) entangled into two EPR pairs
circ_init.h([0,2])
circ_init.cx([0,2... |
https://github.com/Slope86/QiskitExtension | Slope86 | """Module to construct, simulate, and visualize quantum circuit"""
from __future__ import annotations
import itertools
import typing
from typing import List
import numpy as np
from IPython.display import Latex
from numpy.typing import NDArray
from qiskit import ClassicalRegister, QuantumCircuit, QuantumRe... |
https://github.com/Slope86/QiskitExtension | Slope86 | """Module to store, manipulate and visualize quantum state vector."""
from __future__ import annotations
import copy
import itertools
import re
from typing import Iterable, List, Tuple
import numpy as np
from IPython.display import Latex
from numpy.typing import NDArray
from qiskit import QuantumCircuit
... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | import numpy as np
from qiskit.opflow import X, Z, I
from qiskit.algorithms.optimizers import L_BFGS_B
from qiskit.circuit.library import EfficientSU2
bfgs_optimizer = L_BFGS_B(maxiter=60)
a_1 = np.random.random_sample()
a_2 = np.random.random_sample()
J_21 = np.random.random_sample()
H_transverse_ising =... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | from qiskit.circuit.library.standard_gates import RXGate, RZGate, CXGate, CZGate
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
def anzats_circ(thetas, phis, D1, D2):
qr = QuantumRegister(4, name="q")
cr = ClassicalRegister(4, name='c')
qc = QuantumCircuit(qr, cr)
for d in... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | from qiskit.circuit.library.standard_gates import RXGate, RZGate, CXGate, CZGate
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
def anzats_circ1(thetas, D2, in_state):
qr = QuantumRegister(4, name="q")
qc = QuantumCircuit(qr)
qc.initialize(in_state)
for d in rang... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | from qiskit.circuit.library.standard_gates import RXGate, RZGate, CXGate, CZGate
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
import numpy as np
def anzats_circ(thetas, D1, D2, in_state):
qr = QuantumRegister(4, name="q")
qc = QuantumCircuit(qr)
qc.initialize(in_state)
... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | from qiskit.opflow import X, Z, I
H2_op = (-1.052373245772859 * I ^ I) + \
(0.39793742484318045 * I ^ Z) + \
(-0.39793742484318045 * Z ^ I) + \
(-0.01128010425623538 * Z ^ Z) + \
(0.18093119978423156 * X ^ X)
import numpy as np
from qiskit.opflow import X, Z, I
N = 2
H = 0... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | import numpy as np
np.random.seed(999999)
target_distr = np.random.rand(2)
# We now convert the random vector into a valid probability vector
target_distr /= sum(target_distr)
print(target_distr)
from qiskit.circuit.library import EfficientSU2
ansatz = EfficientSU2(num_qubits=2, entanglement='linear')
print(a... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | import sys
sys.path.append('../../')
import numpy as np
from qiskit import QuantumCircuit
from qiskit.opflow import I, X, Y, Z
import matplotlib.pyplot as plt
from volta.observables import sample_hamiltonian
from volta.hamiltonians import BCS_hamiltonian
EPSILONS = [3, 3, 3, 3]
V = -2
hamiltonian = 1 / ... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | from openfermion.chem import MolecularData
from openfermion.transforms import get_fermion_operator, jordan_wigner
from openfermion.linalg import get_ground_state, get_sparse_operator
import numpy
import scipy
import scipy.linalg
# Load saved file for LiH.
diatomic_bond_length = 1.2
geometry = [('H', (0., 0., ... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import SLSQP, L_BFGS_B
from qiskit.circuit.library import TwoLocal
num_qubits = 2
ansatz = TwoLocal(num_qubits, 'ry', 'cz')
opt = SLSQP(maxiter=60)
bfgs_optimizer = L_BFGS_B(maxiter=60)
vqe = VQE(ansatz, optimizer=opt)
ansatz.draw()
from... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | import sys
sys.path.append('../../')
import numpy as np
from qiskit import QuantumCircuit
from qiskit.opflow import I, X, Y, Z
import matplotlib.pyplot as plt
from volta.observables import sample_hamiltonian
from volta.hamiltonians import BCS_hamiltonian
EPSILONS = [3, 3]
V = -2
hamiltonian = BCS_hamilt... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
from qiskit.circuit.library.standard_gates import RXGate, RZGate, RYGate, CXGate, CZGate, SGate, HGate
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
import numpy as np
def get_linear_entangelment_ansatz(num_of_qubits, thetas, input_state, circuit_dep... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | from qiskit.algorithms import VQE
from qiskit import Aer
from qiskit.utils import QuantumInstance, algorithm_globals
seed = 50
algorithm_globals.random_seed = seed
backend = Aer.get_backend('qasm_simulator')
quantum_instance = QuantumInstance(backend=backend, shots=800, seed_transpiler=seed, seed_simulator... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
NUM_SHOTS = 1024
NUM_ITERATIONS = 50
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit import Aer
from qiski... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
NUM_SHOTS = 1024
NUM_ITERATIONS = 50
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit import Aer
from qiski... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
from qiskit.circuit.library.standard_gates import RXGate, RZGate, RYGate, CXGate, CZGate, SGate, HGate
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
import numpy as np
def get_linear_entangelment_ansatz(num_of_qubits, thetas, input_state, circuit_dep... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
NUM_SHOTS = 1024
NUM_ITERATIONS = 1000
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit import Aer
from qis... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
NUM_SHOTS = 1024
NUM_ITERATIONS = 100
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit import Aer
from qisk... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
NUM_SHOTS = 1024
NUM_ITERATIONS = 50
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit import Aer
from qiski... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
from qiskit.circuit.library.standard_gates import RXGate, RZGate, RYGate, CXGate, CZGate, SGate, HGate
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
import numpy as np
def get_linear_entangelment_ansatz(num_of_qubits, thetas, input_state, circuit_dep... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
NUM_SHOTS = 1024
NUM_ITERATIONS = 100
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit import Aer
from qisk... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
NUM_SHOTS = 1024
NUM_ITERATIONS = 100
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit import Aer
from qisk... |
https://github.com/Tojarieh97/VQE | Tojarieh97 | %load_ext autoreload
%autoreload 2
import nbimporter
from typing import Dict, Tuple, List
import numpy as np
from tqdm import tqdm
QUBITS_NUM = 4
N = 2**QUBITS_NUM
NUM_SHOTS = 1024
NUM_ITERATIONS = 100
CIRCUIT_DEPTH = 3
PARAMS_NUM = 2*QUBITS_NUM*(CIRCUIT_DEPTH+1)
from qiskit import Aer
from qisk... |
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