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https://github.com/maryrbarros2/QuantumAlgorithms_Qiskit | maryrbarros2 | from qiskit import QuantumCircuit, Aer, assemble
from math import pi
import numpy as np
from qiskit.visualization import plot_bloch_multivector, plot_histogram, array_to_latex
qc = QuantumCircuit(2)
qc.h(0)
qc.h(1)
qc.cx(0,1)
qc.draw()
qc = QuantumCircuit(2)
qc.h(0)
qc.h(1)
qc.cx(0,1)
display(qc.draw()... |
https://github.com/maryrbarros2/QuantumAlgorithms_Qiskit | maryrbarros2 | # initialization
import numpy as np
import matplotlib
# importing Qiskit
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ, BasicAer, assemble, transpile
from qiskit.quantum_info import Statevector
# import basic plot tools
... |
https://github.com/maryrbarros2/QuantumAlgorithms_Qiskit | maryrbarros2 | my_list = [1,3,5,2,4,2,5,8,0,7,6]
#classical computation method
def oracle(my_input):
winner =7
if my_input is winner:
response = True
else:
response = False
return response
for index, trial_number in enumerate(my_list):
if oracle(trial_number) is True:
pri... |
https://github.com/maryrbarros2/QuantumAlgorithms_Qiskit | maryrbarros2 | import numpy as np
from qiskit import QuantumCircuit, transpile
from qiskit.providers.aer import QasmSimulator
from qiskit.visualization import plot_histogram
# Create a Quantum Circuit acting on a quantum register of three qubits
circ = QuantumCircuit(3)
#default, each qubit in the register is initialized to... |
https://github.com/maryrbarros2/QuantumAlgorithms_Qiskit | maryrbarros2 | # Do the necessary imports
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, BasicAer, IBMQ
from qiskit.visualization import plot_histogram, plot_bloch_multivector
### Creating 3 qubit and 2 classical bits in each separate register
qr = QuantumRegister(3)
crz = Cla... |
https://github.com/Sinestro38/Generalized-Quantum-Fourier-Transform | Sinestro38 | import numpy as np
from numpy import pi
from qiskit import QuantumCircuit, transpile, assemble, Aer, IBMQ
from qiskit.providers.ibmq import least_busy
from qiskit.tools.monitor import job_monitor
from qiskit.visualization import plot_histogram, plot_bloch_multivector
qc = QuantumCircuit(3)
#Qiskit's least ... |
https://github.com/ace314/Quantum-Multi-collision-Problem | ace314 | #initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
# import basic plot tools
from qiskit.tools.... |
https://github.com/Ben-Foxman/Quantum-Exploration | Ben-Foxman | my_list = [1, 3, 5, 2, 4, 9, 5, 8, 0, 7, 6]
def the_oracle(my_input):
winner = 7
return my_input == winner
for index, trial_number in enumerate(my_list):
if the_oracle(trial_number):
print(f"Found the winner at index {index}!")
print(f"{index+1} calls made")
break
from... |
https://github.com/Ben-Foxman/Quantum-Exploration | Ben-Foxman | # Superdense Coding Implementation Ben Foxman
import matplotlib.pyplot as plt
import numpy as np
from qiskit import *
bits = input("Enter 2 bits.") # the 2 bits to encode/decode
assert bits in ['00', '01', '10', '11']
# p1 encodes by creating map from each of the 4 bell states to each of the 4 2-bit code... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | # !sudo apt install lrslib
# !pip install -e git+https://github.com/Pitt-JonesLab/mirror-gates#egg=mirror-gates[core]
# !pip install pylatexenc
from qiskit.transpiler import CouplingMap
coupling_map = CouplingMap.from_line(4)
from transpile_benchy.library import CircuitLibrary
lib = CircuitLibrary(circuit... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.transpiler import CouplingMap
t = CouplingMap.from_heavy_hex(5)
t.size()
from transpile_benchy.library import CircuitLibrary
from qiskit import transpile
from mirror_gates.sqiswap_equiv import sel
lib = CircuitLibrary.from_txt("medium_circuits.txt")
for circuit in lib:
# qc = transpile(cir... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | """CNS Transformations for mirror gates."""
import numpy as np
from qiskit import QuantumCircuit
from qiskit.circuit import Instruction
from qiskit.circuit.library import SwapGate
from qiskit.dagcircuit import DAGCircuit, DAGOpNode
from qiskit.extensions import UnitaryGate
from mirror_gates.fast_unitary impo... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | """Noisy fidelity of a circuit."""
import numpy as np
from qiskit import transpile
from qiskit.circuit import Delay
from qiskit.converters import circuit_to_dag
from qiskit.quantum_info import state_fidelity
from qiskit.transpiler import PassManager
from qiskit.transpiler.passes import ASAPSchedule, Optimize1qGa... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | """Add custom gates to the session EquivalenceLibrary instance.
NOTE: sel is global, so just import this file before calling transpile.
"""
import numpy as np
from qiskit import QuantumCircuit
from qiskit.circuit.equivalence_library import SessionEquivalenceLibrary as sel
from qiskit.circuit.library.standard_... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | """Define the Sycamore gate and its decompositions."""
from qiskit import QuantumCircuit
from qiskit.circuit.library import CZGate, iSwapGate
from qiskit.quantum_info import Operator
qc = QuantumCircuit(2)
qc.append(iSwapGate().power(-1), [0, 1])
qc.append(CZGate().power(1 / 6), [0, 1])
syc = Operator(qc)
syc... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit import transpile
from qiskit.circuit.library import CZGate, iSwapGate
from qiskit.quantum_info import Operator
from qiskit import QuantumCircuit
import numpy as np
qc = QuantumCircuit(2)
qc.cz(0, 1)
qc.swap(0, 1)
qc2 = QuantumCircuit(2)
qc2.rz(-np.pi / 2, 0)
qc2.rz(-np.pi / 2, 1)
qc2.iswap(0,... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit import QuantumCircuit, QuantumRegister
import numpy as np
# load a dummy circuit
# generate network of random cnots
n, M = 2, 4
N = n**2
register = QuantumRegister(N)
qc = QuantumCircuit(register)
for _ in range(M):
qc.cx(*np.random.choice(N, 2, replace=False))
qc.name = "random cx circuit... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit import QuantumCircuit
qc1 = QuantumCircuit(3)
qc1.cx(1, 0)
qc1.cx(0, 1)
qc1.cz(1, 2)
qc1.cx(0, 1)
qc1.cx(1, 0)
qc1.draw("mpl")
iswap_sub = QuantumCircuit(2)
iswap_sub.h(0)
iswap_sub.sdg(0)
iswap_sub.sdg(1)
iswap_sub.iswap(0, 1)
iswap_sub.h(1)
iswap_sub.draw("mpl")
qc1 = QuantumCircuit(3... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from virtual_swap.deprecated.cns_sa import VSwapPass
from qiskit import QuantumCircuit
from qiskit.quantum_info import Operator
qc = QuantumCircuit(3)
qc.cx(0, 1)
qc.h(1)
qc.iswap(1, 2)
qc.y(2)
original_op = Operator(qc)
qc.draw("mpl")
from qiskit.converters import circuit_to_dag
dag = circuit_to_dag... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.circuit.library import QuantumVolume, EfficientSU2, TwoLocal, QFT
from qiskit import QuantumCircuit
from qiskit.circuit.library.standard_gates import iSwapGate, CXGate
from qiskit import QuantumCircuit
from qiskit.providers.fake_provider import FakeQuitoV2
from qiskit.transpiler.coupling import Couplin... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.transpiler import CouplingMap
from qiskit.converters import dag_to_circuit
from qiskit.transpiler.layout import Layout
import numpy as np
from qiskit.transpiler.passes import Unroller
from qiskit.transpiler.passes import (
Triv... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.transpiler import CouplingMap
from qiskit.converters import dag_to_circuit
from qiskit.transpiler.layout import Layout
import numpy as np
from qiskit.transpiler.passes import Unroller
from qiskit.quantum_info import Operator
from q... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit import QuantumCircuit
# from qiskit.test import QiskitTestCase
from qiskit.transpiler import CouplingMap, PassManager
from qiskit.transpiler.passes import (
Unroller,
TrivialLayout,
DenseLayout,
ApplyLayout,
SabreLayout,
CountOpsLongestPath,
Collect1qRuns,
Collec... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.algorithms.optimizers import SLSQP
from qiskit.circuit.library import TwoLocal
from qiskit.extensions import UnitaryGate
from weylchamber import canonical_gate
gate = UnitaryGate(canonical_gate(0.5, 0.25, 0.25).full())
# gate ='cx'
num_qubits = 2
ansatz = TwoLocal(num_qubits, ["ry", "rz"], ga... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | %matplotlib widget
from monodromy.depthPass import MonodromyDepth
from qiskit.circuit.library import XXPlusYYGate
import numpy as np
from qiskit import QuantumCircuit
from qiskit.quantum_info import Operator
from qiskit.extensions import UnitaryGate
from weylchamber import canonical_gate
gate = XXPlusYYGa... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.circuit.library import iSwapGate
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.utilities import SubsMetric
from mirror_gat... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | # TODO, show differences related to post-selecting for depth vs post-selectng for total gates added
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from transpile_benchy.metrics.gate_counts import DepthMetric, TotalMetric
from mirror_gates.logging import transpi... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | # TODO, show how different aggression configurations impact results
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from transpile_benchy.metrics.abc_metrics import MetricInterface
from transpile_benchy.metrics.gate_counts import DepthMetric
from mirror_gates.u... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | # make a graph that shows convergence as a function of layout trials and swap trials
# very important point to not forget
# NOTE, these layout trials are after multiple SWAP trials and through forward-backwards pass
# this means it has already gone through 2 stages of optimization and we still have large variance
... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | # TODO, show how different aggression configurations impact results
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from transpile_benchy.metrics.abc_metrics import MetricInterface
from transpile_benchy.metrics.gate_counts import DepthMetric
from mirror_gates.u... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.logging import transpile_benchy_logger
from transpile_benchy.library import CircuitLibrary
library = CircuitLibrary.from_txt("../../circuits/iters_select.txt")
coupling_map = CouplingMap.fr... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.circuit.library import iSwapGate
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.utilities import SubsMetric
from mirror_gat... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.circuit.library import iSwapGate
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.utilities import SubsMetric
from mirror_gat... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.circuit.library import iSwapGate
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.utilities import SubsMetric
from mirror_gat... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.circuit.library import iSwapGate
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.utilities import SubsMetric
from mirror_gat... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.circuit.library import iSwapGate
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.utilities import SubsMetric
from mirror_gat... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.circuit.library import iSwapGate
from qiskit.transpiler import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from mirror_gates.utilities import SubsMetric
from mirror_gat... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | # determine depolarizing error rate
# such that the fidelity of each two-qubit gate is 0.99
# https://qiskit.org/documentation/locale/de_DE/tutorials/simulators/2_device_noise_simulation.html
from mirror_gates.noisy_fidelity import NoiseModelBuilder
from qiskit.transpiler.coupling import CouplingMap
N = 2
cou... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.transpiler.coupling import CouplingMap
import numpy as np
# Import from Qiskit Aer noise module
from mirror_gates.noisy_fidelity import get_noisy_fidelity
from tqdm import tqdm
from qiskit.circuit.random import random_circuit
import matplotlib.pyplot as plt
import numpy as np
from qiskit.circu... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.transpiler.coupling import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from qiskit.transpiler import PassManager
from mirror_gates.logging import transpile_benchy_logger
from mirror_gates.sqiswap_decomposer import SiSwapDecomposePass
from qiskit.transpiler.passmanager import... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.transpiler.coupling import CouplingMap
from mirror_gates.pass_managers import Mirage, QiskitLevel3
from transpile_benchy.metrics.gate_counts import (
DepthMetric,
TotalMetric,
TotalSwaps,
)
from qiskit.transpiler import PassManager
import numpy as np
from mirror_gates.logging import tra... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from mirror_gates.noisy_fidelity import heuristic_fidelity
import numpy as np
import matplotlib.pyplot as plt
import LovelyPlots.utils as lp # noqa: F401
import matplotlib.pyplot as plt
import numpy as np
import scienceplots # noqa: F401
# Constants
N = 16
start_value = 0
end_value = 10_000
num_points ... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.circuit.library import SwapGate, CXGate
from qiskit.quantum_info import random_unitary
from qiskit.extensions import UnitaryGate
from monodromy.haar import expected_cost
from qiskit.circuit.library import iSwapGate, XXPlusYYGate, CXGate
import numpy as np
from monodromy.render import gates_to_coverage... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | # !pip uninstall -y matplotlib && pip install matplotlib==3.7.2
from qiskit.circuit.library import SwapGate, CXGate
from qiskit.quantum_info import random_unitary
from qiskit.extensions import UnitaryGate
from monodromy.haar import expected_cost
from qiskit.circuit.library import iSwapGate, XXPlusYYGate, CXGate
... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from mirror_gates.sycamore import syc
from transpile_benchy.utilities.numerical_decomp import (
Advanced2QDecomposer,
BasicDecomposer,
)
from qiskit import QuantumCircuit
from qiskit.quantum_info import Operator
from qiskit.circuit.parameter import Parameter
from qiskit.circuit.library import CXGate, Sw... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | from qiskit.circuit.library import SwapGate, iSwapGate
from qiskit import QuantumCircuit
from qiskit.quantum_info import random_unitary
from weylchamber import g1g2g3, c1c2c3, WeylChamber
from qiskit.quantum_info import Operator
import matplotlib.pyplot as plt
N = 500
# generate (a,b,c) ->swap-> (a',b',c') pai... |
https://github.com/Pitt-JonesLab/mirror-gates | Pitt-JonesLab | """Test the CNS transformation on a circuit DAG."""
# from qiskit import QuantumCircuit
# from qiskit.converters import circuit_to_dag, dag_to_circuit
# from qiskit.quantum_info import Operator
# from mirror_gates.cns_transform import cns_transform
# def generate_circuit():
# """Generate a circuit to te... |
https://github.com/msramalho/grover-max-cut | msramalho | ##Mar 1, 2019
#
#code designed by Yasuhiro Okura and Takahiko Satoh and Miguel Ramalho and Lakshmi Prakash
# useful additional packages
import matplotlib.pyplot as plt
import matplotlib.axes as axes
%matplotlib inline
import numpy as np
import networkx as nx
from qiskit import QuantumCircuit, Classica... |
https://github.com/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | # 导入相应的运算库
import numpy as np
from qiskit import BasicAer, execute
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.tools.visualization import circuit_drawer
desired_vector1 = [6/np.sqrt(200), 8/np.sqrt(200), 1/np.sqrt(2), 0]
desired_vector2 = [10/np.sqrt(101), -1/np.sq... |
https://github.com/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | # 导入相应的运算库
import numpy as np
from qiskit import BasicAer, execute
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.tools.visualization import circuit_drawer
desired_vector1 = [np.sqrt(3)/2, 1/2, 0, 0]
desired_vector2 = [1/2, 1/2, 1/2, 1/2]
q0 = QuantumRegister(1,'q0... |
https://github.com/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | # 导入相应的运算库
import numpy as np
from math import pi
from qiskit import BasicAer, execute
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.tools.visualization import circuit_drawer
# 定义相应的量子寄存器，并添加至电路当中去
# q0寄存器表示地址寄存器
q0 = QuantumRegister(2,'q0')
c0 = ClassicalRegister... |
https://github.com/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | # 导入相应的运算库
import numpy as np
from math import pi
from qiskit import BasicAer, execute
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.tools.visualization import circuit_drawer
# 定义相应的量子寄存器，并添加至电路当中去
# q0寄存器表示地址寄存器
q0 = QuantumRegister(1,'q0')
c0 = ClassicalRegister... |
https://github.com/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | # 导入相应的运算库
import numpy as np
from math import pi
from qiskit import BasicAer, execute
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.tools.visualization import circuit_drawer
# 定义相应的量子寄存器，并添加至电路当中去
# 定义变量n,即完成n量子比特的移位操作
n = 5
# q0寄存器表示地址寄存器
q0 = QuantumRegister(n... |
https://github.com/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | # 导入相应的运算库
import numpy as np
from math import pi
from qiskit import BasicAer, execute
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.tools.visualization import circuit_drawer
from qiskit import Aer
# 定义相应的量子寄存器，并添加至电路当中去
# q0寄存器表示地址寄存器
q0 = QuantumRegister(5,'q0')... |
https://github.com/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | %matplotlib inline
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import execute
from qiskit import BasicAer
import math
# 设置寄存器中的量子位的数量
n = 4 # 第一寄存器
m = 1 # 第二寄存器
# 用n个量子位创建一个量子寄存器
q = QuantumRegister(n+m, 'q')
# 在q寄存器上创建一个量子电路
register = QuantumCircuit(q)
# j=3,2,... |
https://github.com/liyaochong/quantum-algorithm-learning-and-implementation | liyaochong | # 导入相应的依赖库
import numpy as np
import math
from math import pi
import re
from qiskit import BasicAer,execute
from qiskit import QuantumCircuit,ClassicalRegister,QuantumRegister
from qiskit.tools.visualization import circuit_drawer
from qiskit import Aer, execute
# 实现目标量子态的制备电路
# 输入经典的数据，以向量的形式给出（注意：这里给出的向量元素... |
https://github.com/Benjreggio/psfam | Benjreggio | '''
runtests.py
@author: Andrew Lytle
Reorganized by Ben Reggio
Unit tests for psfam
'''
from psfam.pauli_organizer import PauliOrganizer
import functools,itertools
from scipy.stats import unitary_group
import scipy.sparse as sp
import qiskit
from qiskit.quantum_info.states import Statevector
from qiski... |
https://github.com/hugosc/quantum-phase-estimation | hugosc | from qiskit import ClassicalRegister , QuantumCircuit, QuantumRegister
import numpy as np
qr = QuantumRegister(2)
cr = ClassicalRegister(3) #For tree classicals bites
qc = QuantumCircuit(qr , cr)
qc.h(qr[0]) #auxiliary qubit
qc.x(qr[1]) # eigenvector
#qc.cp((3/2)*np.pi , qr[0] , qr[1])
qc.cp(3*np.pi , qr[... |
https://github.com/hugosc/quantum-phase-estimation | hugosc | # Import the Qiskit SDK
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import available_backends, execute, register, get_backend, compile
from qiskit.tools.visualization import plot_histogram, circuit_drawer
import time
pi = 3.14159265359
qx_config = {
"APItoken": "... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | # useful additional packages
import matplotlib.pyplot as plt
import copy
%matplotlib inline
import numpy as np
from qiskit import Aer
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import NumPyMinimumEigensolver, VQE
from qiskit.circuit.library import TwoLocal
from qiskit.aqua.components.... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | # import common packages
import numpy as np
from qiskit import Aer
# lib from Qiskit Aqua
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import VQE, NumPyMinimumEigensolver
from qiskit.aqua.operators import Z2Symmetries
from qiskit.aqua.components.optimizers import COBYLA
# lib from Q... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | import numpy as np
import numpy.fft
import matplotlib.pyplot as plt
from qiskit.aqua.circuits import StateVectorCircuit
from qiskit.circuit.library import QFT, Barrier
from qiskit import QuantumCircuit, QuantumRegister, execute, Aer
def normalize(ψ):
n = np.linalg.norm(ψ)
return ψ if n == 0 else ψ / n... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | #initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
import math
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
# import basic plot tools
from ... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | from qiskit import Aer
from qiskit.circuit.library import TwoLocal
from qiskit.aqua import QuantumInstance
from qiskit.finance.applications.ising import portfolio
from qiskit.optimization.applications.ising.common import sample_most_likely
from qiskit.finance.data_providers import RandomDataProvider
from qiskit.a... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | #initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
import math
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
# import basic plot tools
from ... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | import numpy as np
import matplotlib.pyplot as plt
plt.rc('font', size=16, family='serif')
from PIL import Image, ImageOps
import urllib.request
urllib.request.urlretrieve("https://raw.githubusercontent.com/juanjosegarciaripoll/uimp-2020/master/cat.png", "cat.png")
cat = ImageOps.grayscale(Image.open('c... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | # Importing matplotlib, "in line"
%matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ, QuantumRegister, ClassicalRegister
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualizatio... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | # Importing matplotlib, "in line"
%matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ, QuantumRegister, ClassicalRegister
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualizatio... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | # useful additional packages
import matplotlib.pyplot as plt
import matplotlib.axes as axes
import numpy as np
import networkx as nx
from qiskit import Aer, execute, QuantumCircuit
from qiskit.quantum_info import Statevector
# auxilliary function to plot graphs
def plot_result(G, x):
colors = ['r' if x[... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | #initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
import math
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
# import basic plot tools
from ... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | #initialization
import matplotlib.pyplot as plt
%matplotlib inline
import numpy as np
import math
# importing Qiskit
from qiskit import IBMQ, BasicAer
from qiskit.providers.ibmq import least_busy
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
# import basic plot tools
from ... |
https://github.com/rubenandrebarreiro/summer-school-on-quantum-computing-software-for-near-term-quantum-devices-2020 | rubenandrebarreiro | # Expand the Width of the Cells to a ratio of 100%
from IPython.core.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# Update, the Conda's version, if necessary
!conda update -n base conda --yes
# Install other useful Libraries for Quantum Information Science,... |
https://github.com/kurtchahn/QiskitPrx | kurtchahn | import qiskit as qk
import qiskit_aer as qaer
import numpy as np
import math
sSimulator = qaer.Aer.backends(name="statevector_simulator")[0]
mSimulator = qaer.Aer.backends(name="qasm_simulator")[0]
qr = qk.QuantumRegister(1)
helloQubit = qk.QuantumCircuit(qr)
## identity operator on q0
helloQubit.id(... |
https://github.com/kurtchahn/QiskitPrx | kurtchahn | import qiskit as qk
import qiskit_aer as qaer
import numpy as np
import math
sSimulator = qaer.Aer.backends(name="statevector_simulator")[0]
mSimulator = qaer.Aer.backends(name="qasm_simulator")[0]
qr = qk.QuantumRegister(2, name="qr")
cr = qk.ClassicalRegister(2, name="cr")
qc = qk.QuantumCircuit(qr, cr,... |
https://github.com/kurtchahn/QiskitPrx | kurtchahn | import qiskit as qk
import qiskit_aer as qaer
import numpy as np
import math
sSimulator = qaer.Aer.backends(name="statevector_simulator")[0]
mSimulator = qaer.Aer.backends(name="qasm_simulator")[0]
qr = qk.QuantumRegister(1, name="qr")
qc = qk.QuantumCircuit(qr, name="qc")
qc.h(qr[0])
sSimulator.run(... |
https://github.com/kurtchahn/QiskitPrx | kurtchahn | import qiskit as qk
import qiskit_aer as qaer
import numpy as np
import math
sSimulator = qaer.Aer.backends(name="statevector_simulator")[0]
mSimulator = qaer.Aer.backends(name="qasm_simulator")[0]
|
https://github.com/kurtchahn/QiskitPrx | kurtchahn | import qiskit as qk
import qiskit_aer as qaer
import numpy as np
import math
sSimulator = qaer.Aer.backends(name="statevector_simulator")[0]
mSimulator = qaer.Aer.backends(name="qasm_simulator")[0]
def create_blackbox():
def F1(x):
return 0
def F2(x):
return 1
def F3(x... |
https://github.com/kurtchahn/QiskitPrx | kurtchahn | import qiskit as qk
import qiskit_aer as qaer
import numpy as np
import math
sSimulator = qaer.Aer.backends(name="statevector_simulator")[0]
mSimulator = qaer.Aer.backends(name="qasm_simulator")[0]
|
https://github.com/kurtchahn/QiskitPrx | kurtchahn | import qiskit as qk
import qiskit_aer as qaer
import numpy as np
import math
sSimulator = qaer.Aer.backends(name="statevector_simulator")[0]
mSimulator = qaer.Aer.backends(name="qasm_simulator")[0]
|
https://github.com/crabster/qiskit-learning | crabster | from argparse import ArgumentParser
from qiskit import execute, BasicAer, IBMQ
from qiskit.visualization import plot_histogram
from qiskit.providers.ibmq import least_busy
from qiskit.tools.monitor import job_monitor
import matplotlib.pyplot as plt
from circuits.test import test_circuit
from circuits.quantum_... |
https://github.com/crabster/qiskit-learning | crabster | from qiskit import QuantumCircuit
from QCLG_lvl3.oracles.secret_number_oracle import SecretNUmberOracle
class BernsteinVazirani:
@classmethod
def bernstein_vazirani(cls, random_binary, eval_mode: bool) -> QuantumCircuit:
# Construct secret number oracle
secret_number_oracle = Sec... |
https://github.com/crabster/qiskit-learning | crabster | import qiskit
from math import pi
from random import random
def random_state_gate():
theta = 2*pi*random()
phi = 2*pi*random()
lam = 2*pi*random()
qc = qiskit.QuantumCircuit(1)
qc.u3(theta, phi, lam, 0)
gate = qc.to_gate()
gate.name = f"$U_3$ {theta:.2f},{phi:.2f},{lam:.2f}"
... |
https://github.com/crabster/qiskit-learning | crabster | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Sep 19 19:13:26 2023
@author: abdullahalshihry
"""
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 18 19:15:12 2023
@author: abdullahalshihry
"""
import qiskit as qs
import qiskit.visualization as qv
import ran... |
https://github.com/crabster/qiskit-learning | crabster | '''
This program implements the quantum Fourier transform (QFT)
'''
from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit, IBMQ
from qiskit.visualization import circuit_drawer as drawer
from qiskit.tools.visualization import plot_histogram
from qiskit import execute
from qiskit import Aer
im... |
https://github.com/crabster/qiskit-learning | crabster | from qiskit import QuantumCircuit, transpile, assemble
from qiskit.circuit.library import QFT
class CtrlMultCircuit(QuantumCircuit):
def __init__(self, a, binary_power, N):
super().__init__(N.bit_length())
self.a = a
self.power = 2 ** binary_power # Convert binary to decimal
... |
https://github.com/crabster/qiskit-learning | crabster | '''
This is a implementation of the quantum teleportation algorithm
'''
from qiskit import *
from qiskit.visualization import plot_histogram
import os, shutil, numpy
from matplotlib.pyplot import plot, draw, show
LaTex_folder_Quantum_Teleportation = str(os.getcwd())+'/Latex_quantum_gates/Quantum_Teleportatio... |
https://github.com/crabster/qiskit-learning | crabster | import qiskit
from .common_gates import *
import random
def superdense_coding_circuit(msg):
qc = qiskit.QuantumCircuit(2)
phi_plus = phi_plus_gate()
qc.append(phi_plus, [0, 1])
qc.barrier()
if msg[1] == '1':
qc.z(0)
if msg[0] == '1':
qc.x(0)
qc.ba... |
https://github.com/crabster/qiskit-learning | crabster | """
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/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | from qiskit import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import matplotlib.pyplot as plotter
import numpy as np
from IPython.display import display, Math, Latex
%matplotlib inline
# Loading your IBM Q account(s)
provider = IBMQ.load_account()
# The '0' state
plot_bloch_vect... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | from qiskit import *
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import matplotlib.pyplot as plotter
import numpy as np
from IPython.display import display, Math, Latex
%matplotlib inline
# Loading your IBM Q account(s)
provider = IBMQ.l... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | from qiskit import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import matplotlib.pyplot as plotter
import numpy as np
from IPython.display import display, Math, Latex
%matplotlib inline
# Loading your IBM Q account(s)
provider = IBMQ.load_account()
qr = QuantumRegister(3)
crz = C... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | %matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import *
from qiskit.compiler import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import numpy as np
import qiskit.quantum_info as qi
# Loading your IBM Q account(s)
provider = IBMQ.load_acco... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | %matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import numpy as np
from fractions import Fraction as frac
... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | from qiskit import *
from qiskit.compiler import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import matplotlib.pyplot as plotter
import numpy as np
from IPython.display import display, Math, Latex
%matplotlib inline
# Loading your IBM Q account(s)
provider = IBMQ.load_account()
q... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | from qiskit import *
from qiskit.compiler import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import matplotlib.pyplot as plotter
import scipy
import numpy as np
from IPython.display import display, Math, Latex
import qiskit.quantum_info as qi
%matplotlib inline
# Loading your IBM Q... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | !pip install tabulate
%matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from tabulate import tabulate
import ... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | %matplotlib inline
# Importing standard Qiskit libraries
import random
from qiskit import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
#Get the library to check the answers
%pip install -I git+https://github.com/mnp-club/MnP_QC_Workshop.git
from mnp_qc_workshop_2020.bb84 import *
... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | !pip install tabulate
%matplotlib inline
# Importing standard Qiskit libraries and configuring account
from qiskit import QuantumCircuit, execute, Aer, IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from tabulate import tabulate
# Loadi... |
https://github.com/yatharth0610/Quantum-Algorithms-qiskit- | yatharth0610 | # Importing standard Qiskit libraries and configuring account
from qiskit import *
from qiskit.compiler import *
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import matplotlib.pyplot as plotter
import scipy
import numpy as np
from IPython.display import display, Math, Latex
import qisk... |
https://github.com/danieljaffe/quantum-algorithms-qiskit | danieljaffe | from qiskit import QuantumCircuit
from QCLG_lvl3.oracles.secret_number_oracle import SecretNUmberOracle
class BernsteinVazirani:
@classmethod
def bernstein_vazirani(cls, random_binary, eval_mode: bool) -> QuantumCircuit:
# Construct secret number oracle
secret_number_oracle = Sec... |
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