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https://github.com/qiskit-community/qopt-best-practices | qiskit-community | import matplotlib.pyplot
import networkx as nx
from qiskit_ibm_runtime.fake_provider import FakeVigoV2
from qiskit import qpy
from qiskit_aer import Aer
from qiskit_optimization.applications import Maxcut
print("Your installation works 🎉!")
from qiskit_ibm_runtime import QiskitRuntimeService
service = Qisk... |
https://github.com/qiskit-community/qopt-best-practices | qiskit-community | from demo_src.graph import generate_demo_graph, draw_graph
demo_graph = generate_demo_graph()
draw_graph(demo_graph)
from demo_src.map import map_graph_to_qubo
qubo = map_graph_to_qubo(demo_graph)
print(qubo.prettyprint())
from demo_src.map import map_qubo_to_ising
cost_hamiltonian, offset = map_qubo_t... |
https://github.com/qiskit-community/qopt-best-practices | qiskit-community | # -*- coding: utf-8 -*-
# (C) Copyright 2024 IBM. All Rights Reserved.
#
# 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 modificat... |
https://github.com/qiskit-community/qopt-best-practices | qiskit-community | from networkx import barabasi_albert_graph, draw
graph = barabasi_albert_graph(n=10, m=6, seed=42)
draw(graph, with_labels=True)
from qopt_best_practices.utils import build_max_cut_paulis
from qiskit.quantum_info import SparsePauliOp
local_correlators = build_max_cut_paulis(graph)
cost_operator = SparsePaul... |
https://github.com/qiskit-community/qopt-best-practices | qiskit-community | import json
graph_file = "data/graph_2layers_0seed.json"
data = json.load(open(graph_file, "r"))
local_correlators = data["paulis"]
print(local_correlators)
from qiskit.quantum_info import SparsePauliOp
cost_operator = SparsePauliOp.from_list(local_correlators)
print(cost_operator)
from qiskit import ... |
https://github.com/qiskit-community/qopt-best-practices | qiskit-community | import json
import networkx as nx
graph_file = "data/graph_2layers_0seed.json"
data = json.load(open(graph_file, "r"))
graph = nx.from_edgelist(data["Original graph"])
nx.draw(graph, with_labels=True)
num_qubits = len(graph.nodes)
print(num_qubits)
from qopt_best_practices.utils import build_max_cut_pauli... |
https://github.com/qiskit-community/qopt-best-practices | qiskit-community | def aggregate(alpha, measurements):
if not 0 <= alpha <= 1:
raise ValueError(f"alpha must be in [0, 1] but was {alpha}")
# sort by values
sorted_measurements = sorted(measurements, key=lambda x: x[1])
accumulated_percent = 0.0 # once alpha is reached, stop
cvar = 0.0
for prob... |
https://github.com/qiskit-community/qopt-best-practices | qiskit-community | # SIMULATED FAKE BACKEND
from qiskit_ibm_runtime.fake_provider import FakeGuadalupe
backend = FakeGuadalupe()
from qiskit.visualization import plot_gate_map
plot_gate_map(backend)
from qopt_best_practices.qubit_selection import BackendEvaluator
num_qubits = 10
path_finder = BackendEvaluator(backend)
p... |
https://github.com/qiskit-community/qopt-best-practices | qiskit-community | import json
file = "data/hardware_native_127.json"
data = json.load(open(file, "r"))
paulis = data["paulis"]
num_qubits = len(paulis[0][0])
print(num_qubits)
from qiskit.quantum_info import SparsePauliOp
# define a qiskit SparsePauliOp from the list of paulis
hamiltonian = SparsePauliOp.from_list(paulis)
... |
https://github.com/tushdon2/Qiskit_Hackathon_IITR_2021 | tushdon2 | # importing required libraries
from tensorflow import keras
import os
from pathlib import Path
modelPath = os.path.join(Path(os.path.realpath("__file__")).parent.parent, "assets/model/hand_gesture_classify_model.h5")
model = keras.models.load_model(modelPath)
model.summary()
# TESTING the model
# A... |
https://github.com/tushdon2/Qiskit_Hackathon_IITR_2021 | tushdon2 | # importing required libraries
from tensorflow import keras
import os
from pathlib import Path
# downloading the ImageNet model with output layer removed and input shape (224, 224, 3)
base_model = keras.applications.VGG16(
weights = 'imagenet',
input_shape = (224, 224, 3),
include_top = False)
... |
https://github.com/tushdon2/Qiskit_Hackathon_IITR_2021 | tushdon2 | from qiskit import execute, QuantumCircuit
from qiskit.providers.aer import QasmSimulator
# Import from Qiskit Aer noise module
from qiskit.providers.aer.noise import NoiseModel
from qiskit.providers.aer.noise import pauli_error
import warnings
warnings.filterwarnings('ignore')
def get_noise():
# Er... |
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
event = "Qiskit Fall Fest"
## Write your code below here. Delete the current information and replace it with your own ##
## Make sure to wr... |
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/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/JavaFXpert/qiskit-runtime-lab | JavaFXpert | !pip install qiskit-algorithms
from qiskit_ibm_runtime import QiskitRuntimeService
service = QiskitRuntimeService(channel="ibm_quantum")
backend = service.backend("ibmq_qasm_simulator")
from qiskit.quantum_info import SparsePauliOp
# Create an operator by summing together three Pauli operators
choc_op = ... |
https://github.com/JavaFXpert/qiskit-runtime-lab | JavaFXpert | from qiskit_ibm_runtime import QiskitRuntimeService
service = QiskitRuntimeService(channel="ibm_quantum")
backend = service.backend("ibmq_qasm_simulator")
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi
qreg_q = QuantumRegister(2, 'q')
creg_c = ClassicalRegister(2,... |
https://github.com/JavaFXpert/qiskit-runtime-lab | JavaFXpert | from qiskit_ibm_runtime import QiskitRuntimeService
service = QiskitRuntimeService(channel="ibm_quantum")
backend = service.backend("ibmq_qasm_simulator")
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi
qreg_q = QuantumRegister(3, 'q')
creg_c = ClassicalRegister(3,... |
https://github.com/adelshb/Quantum-Machine-Learning-for-Titanic-on-IBM-Q | adelshb | from qiskit import Aer, QuantumCircuit
from qiskit.utils import QuantumInstance
from qiskit_machine_learning.neural_networks import CircuitQNN
from qiskit_machine_learning.algorithms.classifiers import NeuralNetworkClassifier
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import RealAm... |
https://github.com/adelshb/Quantum-Machine-Learning-for-Titanic-on-IBM-Q | adelshb | # -*- coding: utf-8 -*-
#
# Written by Adel Sohbi, https://github.com/adelshb
#
# 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 mod... |
https://github.com/nicomeyer96/qiskit-torch-module | nicomeyer96 | from math import sqrt, pi
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import oracle_simple
import composed_gates
def get_circuit(n, oracles):
"""
Build the circuit composed by the oracle black box and the other quantum gates.
:param n: The number of qubits (not including... |
https://github.com/nicomeyer96/qiskit-torch-module | nicomeyer96 | # This code is part of the Qiskit-Torch-Module.
#
# If used in your project please cite this work as described in the README file.
#
# 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... |
https://github.com/nicomeyer96/qiskit-torch-module | nicomeyer96 | # This code is part of the Qiskit-Torch-Module.
#
# If used in your project please cite this work as described in the README file.
#
# 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... |
https://github.com/nicomeyer96/qiskit-torch-module | nicomeyer96 | # This code is part of Qiskit-Torch-Module.
#
# If used in your project please cite this work as described in the README file.
#
# 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://w... |
https://github.com/nicomeyer96/qiskit-torch-module | nicomeyer96 | # -*- 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/we-taper/qiskit-pyzx | we-taper | from functools import singledispatch
from math import pi
from typing import Dict
import pyzx.circuit.gates as pyzx_g
import qiskit.extensions.standard as qk_g
from qiskit.circuit import Measure, Qubit, Reset
import pyzx
# from .barrier import Barrier
# from .cswap import FredkinGate
# from .cy import CyGat... |
https://github.com/we-taper/qiskit-pyzx | we-taper | from functools import singledispatch
from itertools import chain
from math import pi
from typing import Dict
import pyzx
import pyzx.circuit.gates as zx_g
import qiskit.extensions.standard as qk_g
from qiskit.circuit import Qubit
from qiskit.dagcircuit import DAGCircuit
@singledispatch
def get_op_qargs_... |
https://github.com/we-taper/qiskit-pyzx | we-taper | from math import pi
import pyzx
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.converters import *
from circuit_translate_main import dag_to_pyzx_circuit, pyzx_circ_to_dag
def optimize(c):
pyzx_graph = c.to_graph()
# Phase 1
pyzx.simplify.full_reduce(pyzx... |
https://github.com/we-taper/qiskit-pyzx | we-taper | import qiskit
import pyzx
from qiskit.converters import circuit_to_dag, dag_to_circuit
from circuit_translate_main import dag_to_pyzx_circuit, pyzx_circ_to_dag
def optimize(c):
pyzx_graph = c.to_graph()
# Phase 1
pyzx.simplify.full_reduce(pyzx_graph)
# Phase 2
pyzx_circuit = pyzx.ex... |
https://github.com/we-taper/qiskit-pyzx | we-taper | import qiskit
%matplotlib inline
qiskit.__qiskit_version__
import math
len = 3
q_r = qiskit.QuantumRegister(len, 'q')
c_r = qiskit.ClassicalRegister(len, 'c')
q_c = qiskit.QuantumCircuit(q_r, c_r)
q_c.u3(-1.23096,0,0, q_r[0]);
q_c.u3(math.pi/4,0,0, q_r[1]);
q_c.cx(q_r[0],q_r[2]);
q_c.z(q_r[2]);
q_c.h(q_... |
https://github.com/we-taper/qiskit-pyzx | we-taper | import qiskit
%matplotlib inline
qiskit.__qiskit_version__
len = 4
q_r = qiskit.QuantumRegister(len, 'q')
c_r = qiskit.ClassicalRegister(len, 'c')
q_c = qiskit.QuantumCircuit(q_r, c_r)
q_c.h([q_r[0],q_r[3]])
q_c.x([q_r[0],q_r[3]])
q_c.ccx(q_r[0],q_r[3],q_r[1])
q_c.x([q_r[0],q_r[3]])
q_c.ccx(q_r[0],q_r[3]... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | from mpqp import QCircuit
circ1 = QCircuit(3)
circ2 = QCircuit(5, nb_cbits=2, label="Example")
from mpqp.gates import *
from mpqp.measures import BasisMeasure
from mpqp import Barrier
circ2.add(CNOT(2,3))
circ2.add([H(0), T(1), CNOT(0,1), S(4)])
circ3 = QCircuit(
[
H(0),
X(1),
... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | from mpqp import QCircuit
from mpqp.gates import H, CNOT
circuit = QCircuit([H(0), CNOT(0,1)], label="Bell state")
print(circuit)
from mpqp.execution import run, ATOSDevice
result = run(circuit, ATOSDevice.MYQLM_PYLINALG)
print(result)
print(result.amplitudes)
print(result.probabilities)
from mpqp.meas... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | from mpqp import QCircuit
from mpqp.gates import *
circuit = QCircuit([H(0), CNOT(0,1), Ry(2.6, 0), Ry(-0.87, 1)])
print(circuit)
from mpqp.measures import Observable, ExpectationMeasure
import numpy as np
from mpqp.tools.maths import is_hermitian
matrix = np.array([[4, 2, 3, 8],
[2, ... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | from mpqp.gates import *
from mpqp.execution.result import Result
from mpqp import QCircuit, Barrier
from mpqp.execution import run, IBMDevice
from math import floor
import numpy as np
class QFT(QCircuit):
def __init__(self,n_qubits,inverse=False):
super().__init__(n_qubits, nb_c... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | from mpqp.execution.vqa import *
from mpqp import QCircuit
from mpqp.gates import *
from sympy import symbols
x, y, z = symbols("x y z")
circuit = QCircuit([Rx(x, 0), Ry(y, 1), Rz(z,0), Rz(z,1), CNOT(0,1)])
print(circuit)
from mpqp.measures import Observable, ExpectationMeasure
from mpqp.execution import ... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | from mpqp import QCircuit, Language
from mpqp.gates import *
from mpqp.noise import Depolarizing
from mpqp.measures import BasisMeasure
from mpqp.execution import *
Depolarizing(0.5, [0, 1, 2])
Depolarizing(0.1, [0, 1, 2], dimension=2)
Depolarizing(0.23, [2, 3], gates=[H, Rx, U])
d = Depolarizing(0.45, ... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | from math import sqrt, pi
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import oracle_simple
import composed_gates
def get_circuit(n, oracles):
"""
Build the circuit composed by the oracle black box and the other quantum gates.
:param n: The number of qubits (not including... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | # Copyright 2019 Cambridge Quantum Computing
#
# 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 ... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | """The main object used to perform quantum computations in Qiskit is the
``QuantumCircuit``. Qiskit naturally supports OpenQASM 2.0 to instantiate a
circuit. One can remark that few remote devices also support OpenQASM 3.0 code,
this is not generalized yet to the whole library and device. We call the
function :func... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | """Mathematical tools for linear algebra, functions generalized to more data
types, etc…"""
from __future__ import annotations
import math
from functools import reduce
from numbers import Complex, Real
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from sympy import Expr
import sym... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | from qiskit import QuantumCircuit
from . import circuit_constructor, circuit_eq
def test_circuit_constructor():
gates_list = ["h", "hs", "hs", "i", "i", "h"]
result = circuit_constructor(gates_list)
result_dag = circuit_constructor(gates_list, True)
expected = QuantumCircuit(6)
expected... |
https://github.com/ColibrITD-SAS/mpqp | ColibrITD-SAS | import pytest
from mpqp.qasm.qasm_to_qiskit import qasm2_to_Qiskit_Circuit
from qiskit import QuantumCircuit
@pytest.mark.parametrize(
"qasm_code, gate_names",
[
(
"""OPENQASM 2.0;""",
[],
),
(
"""OPENQASM 2.0;
include "qe... |
https://github.com/HermanniH/QRAKEN | HermanniH | ## QRAKEN: Quantum Random Keys via Entanglement. QRAKEN is a certified quantum random number generator for the Qiskit framework.
## Repository: https://github.com/HermanniH/QRAKEN
## Qiskit backend code written by Tobias Haug, comments to tobias.haug@u.nus.edu
## QRAKEN members: Tobias Haug, Hermanni Heimonen, Kisho... |
https://github.com/qiskit-community/qiskit-metriq | qiskit-community | import os
import pandas as pd
from pyzx import routing
from qiskit import QuantumCircuit, transpile
from qiskit.transpiler import CouplingMap, TranspilerError
from qiskit_versions import *
VERSION = get_installed_version()
PACKAGE_NAME = "qiskit" if VERSION == compare_versions(VERSION, "0.25.3") else "qiskit-t... |
https://github.com/qiskit-community/qiskit-metriq | qiskit-community | import os
import json
import qiskit
import requests
from datetime import datetime
def get_installed_version():
try:
# Starting with qiskit v0.45, qiskit and qiskit-terra will have the same version
return qiskit.__version__
except ImportError:
return qiskit.__qiskit_version__[... |
https://github.com/AbdulahAmer/Quantum-Phase-Estimation-with-Qiskit- | AbdulahAmer | '''
Quantum Phase Estimation
By Abdulah Amer
T gate leaves |0> state alone and adds a phase of e^pi/4 to
|1> state. Quantum Phase Estimation measures theta where
T|1> = e^2ipitheta|1>
First n-1 qubits are used for the protocol and get measured
the nth qubit is put into the eigenstate of the operator wh... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | !pip install qiskit
from IPython.display import clear_output
clear_output()
from qiskit import *
import math
import numpy as np
import random
import itertools
teas = ['black', 'green']
mild_spices = ['cardamom (elaichi)', 'fennel seeds (saunf)', 'star anise', 'bay leaves', 'cloves (laung)', 'cinnamon'... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | from qiskit import *
from qiskit.visualization import plot_histogram
%config InlineBackend.figure_format = 'svg'
qc_ab = QuantumCircuit(6,6) #Create a quantum circuit with 6 qubits and 6 classical bits
##ENCODE BIT STRING
#The random bit sequence Alice needs to encode is: 100100, so the first and fourth qubi... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | !pip install qiskit
from IPython.display import clear_output
clear_output()
from qiskit import *
import math
import numpy as np
import random
import itertools
teas = ['black', 'green']
mild_spices = ['cardamom (elaichi)', 'fennel seeds (saunf)', 'star anise', 'bay leaves', 'cloves (laung)', 'cinnamon'... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | 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
# Additional libraries
from qiskit import Qu... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | # run this cell if you're executing this notebook in your browser
!pip install qiskit
from IPython.display import clear_output
clear_output()
from qiskit import *
import numpy as np
qc = QuantumCircuit(2,2)
qc.draw('mpl')
qreg = QuantumRegister(2, name = 'qreg')
creg = ClassicalRegister(2, name = 'cr... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | # run this cell if you're executing this notebook in your browser
!pip install qiskit
from IPython.display import clear_output
clear_output()
from qiskit import *
import numpy as np
n = 2 #number of qubits used for the example in this notebook
from qiskit.visualization import array_to_latex
target... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | # run this cell if you're executing this notebook in your browser
!pip install qiskit
from IPython.display import clear_output
clear_output()
from qiskit import *
from qiskit import IBMQ
# IBMQ.save_account('APITOKEN', overwrite=True) ## Uncomment and replace APITOKEN with your API token to save new crede... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | # run this cell if you're executing this notebook in your browser
!pip install qiskit
from IPython.display import clear_output
clear_output()
from qiskit import *
import numpy as np
qc = QuantumCircuit(2,2)
qc.draw('mpl')
qreg = QuantumRegister(2, name = 'qreg')
creg = ClassicalRegister(2, name = 'cr... |
https://github.com/quantum-kittens/quantum-computing-basics | quantum-kittens | # run this cell if you're executing this notebook in your browser
!pip install qiskit
from IPython.display import clear_output
clear_output()
from qiskit import *
import numpy as np
n = 2 #number of qubits used for the example in this notebook
from qiskit.visualization import array_to_latex
target... |
https://github.com/nmoran/qiskit-qdrift-quid19 | nmoran | import numpy as np
import matplotlib.pyplot as plt
import math
from qiskit import Aer, IBMQ, QuantumRegister, QuantumCircuit
from qiskit.providers.ibmq import least_busy
from qiskit.providers.aer import noise
# lib from Qiskit Aqua
from qiskit.aqua.operators.common import evolution_instruction
from qiskit.a... |
https://github.com/nmoran/qiskit-qdrift-quid19 | nmoran | import numpy as np
import matplotlib.pyplot as plt
import math
from qiskit import Aer, IBMQ, QuantumRegister, QuantumCircuit
from qiskit.providers.ibmq import least_busy
from qiskit.providers.aer import noise
# lib from Qiskit Aqua
from qiskit.aqua.operators.common import evolution_instruction
from qiskit.a... |
https://github.com/nmoran/qiskit-qdrift-quid19 | nmoran | import numpy as np
import matplotlib.pyplot as plt
import math
from qiskit import Aer, IBMQ, QuantumRegister, QuantumCircuit
from qiskit.providers.ibmq import least_busy
from qiskit.providers.aer import noise
# lib from Qiskit Aqua
from qiskit.aqua.operators.common import evolution_instruction
from qiskit.a... |
https://github.com/nmoran/qiskit-qdrift-quid19 | nmoran | import numpy as np
import matplotlib.pyplot as plt
import math
from qiskit import Aer, IBMQ, QuantumRegister, QuantumCircuit
from qiskit.providers.ibmq import least_busy
from qiskit.providers.aer import noise
# lib from Qiskit Aqua
from qiskit.aqua.operators.common import evolution_instruction
from qiskit.a... |
https://github.com/nmoran/qiskit-qdrift-quid19 | nmoran | #!/usr/bin/env python3
"""
Script to run different qiskit Quantum Phase Estimation methods for comparison
Adapted from notebook at
https://github.com/Qiskit/qiskit-community-tutorials/blob/master/chemistry/h2_iqpe.ipynb
"""
import time
import numpy as np
import argparse
import sys
import logging
import o... |
https://github.com/nmoran/qiskit-qdrift-quid19 | nmoran | import numpy as np
import pylab
from qiskit import LegacySimulators
from qiskit_chemistry import QiskitChemistry
import time
# Input dictionary to configure Qiskit Chemistry for the chemistry problem.
qiskit_chemistry_dict = {
'driver': {'name': 'PYSCF'},
'PYSCF': {'atom': '', 'basis': 'sto3g'},
... |
https://github.com/nmoran/qiskit-qdrift-quid19 | nmoran | import pylab
import time
import numpy as np
import multiprocessing as mp
from qiskit import BasicAer
from qiskit.aqua import QuantumInstance, AquaError
from qiskit.aqua.operators import Z2Symmetries
from qiskit.aqua.operators.op_converter import to_weighted_pauli_operator
from qiskit.aqua.algorithms.single_samp... |
https://github.com/joe5218/Quantum-Distortions | joe5218 | from qiskit import IBMQ, QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute, QuantumRegister
from qiskit.qasm import pi
from qiskit.tools.visualization import plot_histogram, circuit_drawer
from qiskit import execute, Aer, BasicAer
import numpy as np
import random
import keras
from ke... |
https://github.com/joe5218/Quantum-Distortions | joe5218 | !pip install qiskit ipywidgets pylatexenc python-resize-image qiskit[visualization]
from qiskit import IBMQ, QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute, QuantumRegister
from qiskit.qasm import pi
from qiskit.tools.visualization import plot_histogram, circuit_drawer, plot_state_c... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
!git clone https://github.com/arnavdas88/QuGlassyIsing
!mv QuGlassyIsing/research/pickle-files/ ./pickle
from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer import AerSimulator
from qiskit import Aer, transpile
from qiskit.circuit.library import TwoLocal
from qisk... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer import AerSimulator
from qiskit.circuit.library import TwoLocal
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import EfficientSU2
# opflow is Qiskit's ... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.0
B_z = 0.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.5
B_z = 1.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.25
B_z = 1.5
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, ... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 2.0
B_z = 0.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 2.0
B_z = 1.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 1.5
B_z = 1.5
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.0
B_z = 0.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.5
B_z = 1.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.25
B_z = 1.5
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, ... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 2.0
B_z = 0.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 2.0
B_z = 1.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 1.5
B_z = 1.5
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.0
B_z = 0.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.5
B_z = 1.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 0.25
B_z = 1.5
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, ... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 2.0
B_z = 0.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 2.0
B_z = 1.0
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
J = 4.0
B_x = 1.5
B_z = 1.5
import numpy as np
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.operators import *
from qiskit.aqua import set_qiskit_aqua_logging, Q... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
# opflow is Qiskit's module for creating operators like yours
from qiskit import *
from qiskit.opflow i... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
!pip install qiskit-aer-gpu
from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer import AerSimulator
from qiskit.circuit.library import TwoLocal
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import Effi... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | import time
import numpy as np
from matplotlib import pyplot as plt
from IPython.display import clear_output
%matplotlib inline
class potts:
def __init__(self, L,q): #Create Potts model
self.L=L #lattice length/width
self.size=L**2 #model size
self.q=q #number of states
self.h=np.zer... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | from itertools import product
from time import sleep
from typing import Callable, Optional
import matplotlib.pyplot as plt
import numpy as np
from numpy.random import RandomState
import seaborn as sns
q = 4
RANDOM_SEED = 42424
WIDTH = 15
J_c = 1 # ?
h = 1
# Python type hinting; the code works well wi... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
from qiskit.providers.aer import AerSimulator, QasmSimulator
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import TwoLocal
# opflow is Qiskit's module for creating operators like yours
from qiskit import *
from qiskit.opflow i... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
min_qubits=1
max_qubits=3
skip_qubits=1
max_circuits=3
num_shots=1000
use_XX_YY_ZZ_gates = True
Noise_Inclusion = False
saveplots = False
Memory_utilization_plot = True
Type_... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer import AerSimulator
from qiskit.circuit.library import TwoLocal
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import EfficientSU2
# opflow is Qiskit's ... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | from google.colab import auth
# auth.authenticate_user()
!curl https://sdk.cloud.google.com | bash
!gcloud init
!gcloud config set project "kablj-ml"
# !gsutil -m cp -R gs://deepmind-research-glassy-dynamics .
!gsutil -m ls -al gs://deepmind-research-glassy-dynamics
!gsutil -m ls -la gs://deepmind-re... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 |
!pip install qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer import AerSimulator
from qiskit.circuit.library import TwoLocal
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import EfficientSU2
from qiskit.aqua ... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 |
!pip install qiskit==0.26.2 #==0.13.0
from qiskit.providers.aer import QasmSimulator
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import EfficientSU2
# opflow is Qiskit's module for creating operators like yours
from qiskit.opflow import Z,... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | !pip install qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer import AerSimulator
from qiskit.circuit.library import TwoLocal
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import EfficientSU2
# opflow is Qiskit's ... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer import AerSimulator
from qiskit import Aer, transpile
from qiskit.circuit.library import TwoLocal
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import EfficientSU2
from qisk... |
https://github.com/arnavdas88/QuGlassyIsing | arnavdas88 | from qiskit.providers.aer import QasmSimulator
from qiskit.providers.aer import AerSimulator
from qiskit import Aer, transpile
from qiskit.circuit.library import TwoLocal
from qiskit.algorithms import VQE
from qiskit.algorithms.optimizers import COBYLA
from qiskit.circuit.library import EfficientSU2
from qisk... |
https://github.com/tybens/quantum-data-fitting-HHL | tybens | import numpy as np
from qiskit import ClassicalRegister, QuantumCircuit, execute, Aer
from qiskit.visualization import plot_histogram
F = np.matrix([[1, 1, 1], [0, 0, 1], [1, 0, 0], [0.5, 1, 0]])
print("rank", np.linalg.matrix_rank(F))
y = np.array([0, 0, 1, 0])
y.resize((4, 1))
print("F=", F)
print("y=... |
https://github.com/tybens/quantum-data-fitting-HHL | tybens | import numpy as np
from numpy import pi
import scipy
from qiskit.extensions import UnitaryGate
from qiskit import ClassicalRegister, QuantumCircuit, QuantumRegister, execute, Aer
from qiskit.visualization import plot_histogram
# A = np.matrix([[1, 0, 0], [0, 1, -1], [0, 1, 1]]) # gets 1.4 but only 2 eigenva... |
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