repo stringclasses 900
values | file stringclasses 754
values | content stringlengths 4 215k |
|---|---|---|
https://github.com/intrinsicvardhan/QuantumComputingAlgos | intrinsicvardhan | # Importing everything
from qiskit import QuantumCircuit
from qiskit import IBMQ, Aer, transpile
from qiskit.visualization import plot_histogram
def create_bell_pair():
"""
Returns:
QuantumCircuit: Circuit that produces a Bell pair
"""
qc = QuantumCircuit(2)
qc.h(1)
qc.cx(1,... |
https://github.com/intrinsicvardhan/QuantumComputingAlgos | intrinsicvardhan | # Do the necessary imports
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import IBMQ, Aer, transpile, assemble
from qiskit.visualization import plot_histogram, plot_bloch_multivector, array_to_latex
from qiskit.extensions import Initialize
from qiskit.ignis.v... |
https://github.com/lynkos/grovers-algorithm | lynkos | 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/lynkos/grovers-algorithm | lynkos | from argparse import ArgumentParser, Namespace, BooleanOptionalAction
from qiskit import QuantumCircuit as qc
from qiskit import QuantumRegister as qr
from qiskit import transpile
from qiskit_aer import AerSimulator
from qiskit.result import Counts
from matplotlib.pyplot import show, subplots, xticks, yticks
fro... |
https://github.com/Rassska/QuantumPack | Rassska | from qiskit import QuantumRegister, ClassicalRegister, QuantumCircuit
from numpy import pi
qreg_q = QuantumRegister(2, 'q')
creg_c = ClassicalRegister(2, 'c')
circuit = QuantumCircuit(qreg_q, creg_c)
circuit.reset(qreg_q[0])
circuit.h(qreg_q[0])
circuit.reset(qreg_q[1])
circuit.cx(qreg_q[0], qreg_q[1])
cir... |
https://github.com/AnuvabSen1/Quantum-Computing-Algorithms-Implemented-on-IBM-s-QSAM-Qiskit | AnuvabSen1 | import numpy as np
import math
import gmpy2
from gmpy2 import powmod,mpz,isqrt,invert
from qiskit.aqua.algorithms import Shor
from qiskit.aqua import QuantumInstance
from qiskit import Aer,execute,QuantumCircuit
from qiskit.tools.visualization import plot_histogram
from qiskit.providers.ibmq import least_busy
... |
https://github.com/AnuvabSen1/Quantum-Computing-Algorithms-Implemented-on-IBM-s-QSAM-Qiskit | AnuvabSen1 | from qiskit import QuantumCircuit, Aer, execute, IBMQ
from qiskit.utils import QuantumInstance
import numpy as np
from qiskit.algorithms import Shor
IBMQ.enable_account('ENTER API TOKEN HERE') # Enter your API token here
provider = IBMQ.get_provider(hub='ibm-q')
backend = Aer.get_backend('qasm_simulator')
qu... |
https://github.com/psasanka1729/nisq-grover-qiskit-floquet-model | psasanka1729 | import sys
from qiskit import*
#from qiskit import Aer
import qiskit.quantum_info as qi
import numpy as np
#from math import pi
#import matplotlib.pyplot as plt
import re
L = 4;
qc = QuantumCircuit(L)
qc.mcx([i for i in range(L-1)],L-1)
qc.draw("mpl",style="clifford")
trans_qc = transpile(qc, basis_ga... |
https://github.com/psasanka1729/nisq-grover-qiskit-floquet-model | psasanka1729 | L = 8;
using PyCall
using Random
using LinearAlgebra
using SparseArrays
using DelimitedFiles
file = raw"gates_list_"*string(L)*".txt" # Change for every L.
M = readdlm(file)
# Name.
Gates_data_1 = M[:,1];
# Angle.
Gates_data_2 = M[:,2];
# Qubit.
Gates_data_3 = M[:,3];
Number_of_Gates = length(Gates_da... |
https://github.com/psasanka1729/nisq-grover-qiskit-floquet-model | psasanka1729 | import numpy as np
from scipy.sparse import identity
from scipy import sparse
from qiskit import*
L = 4
gates_list = open('gates_list_'+str(L)+'.txt','r')
MCX_transpile = []
for gates in gates_list:
MCX_transpile.append(gates.split(","))
len(MCX_transpile)
number_of_gates = len(MCX_transpile)
S... |
https://github.com/LeDernier/qiskit-HHL | LeDernier | #Imports non Qiskit
import numpy as np
from numpy import pi
#Imports Qiskit
#Généraux
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ
#Aqua
from qiskit.aqua.algorithms import HHL, NumPyLSsolver
from qiskit.aqua.components.eigs import EigsQPE
from qiskit.aqua.co... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | from qiskit.circuit.library import QuantumVolume as QuantumVolumeCircuit
from qiskit.quantum_info import Statevector
qv_circuit = QuantumVolumeCircuit(4)
qv_circuit.decompose().draw()
def get_heavy_outputs(counts):
"""Extract heavy outputs from counts dict.
Args:
counts (dict): Output of `.get... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
min_qubits=2
max_qubits=3
skip_qubits=1
max_circuits=3
num_shots=1000
Noise_Inclusion = False
saveplots = False
Memory_utilization_plot = False
gate_counts_plots = True
Type_... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
min_qubits=3
max_qubits=31
skip_qubits=1
max_circuits=2
num_shots=1000
method=1 #Use method=2 for another approach of Benchmarking (default->1)
num_resets = 2 # Variable for number of... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, assemble, Aer, IBMQ, execute
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_bloch_multivector, plot_histogram
class DeutschJozsa:
'''
Class to generate a DeutschJozs... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | import matplotlib.pyplot as plt
import numpy as np
from qiskit import QuantumCircuit, Aer, execute, transpile, assemble, QuantumRegister, ClassicalRegister
from qiskit.visualization import plot_histogram
def binary(num,length): #converts an integer to a binary number with defined length
b = bin(num)[2:]
... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | #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/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | import sys
sys.path[1:1] = ["_common", "_common/qiskit"]
sys.path[1:1] = ["../../_common", "../../_common/qiskit"]
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import time
import math
import os
import numpy as np
np.random.seed(0)
import execute as ex
import metrics as metrics
from... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
min_qubits=3 #min_qubits are incremented to 4 w.r.t algorithm "qubits should be of even number"
max_qubits=31
skip_qubits=1 #minimum Skip_qubits used is 2 (by default skip_qubits=2 when s... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
method = 2
min_qubits=4 # must be at least (MIN_STATE_QUBITS=1) + 3 = 4
## for method-1 min_qubits = 5 (MIN_STATE_QUBITS = 2)+3 = 5
max_qubits=10 # Because circuit size grows significan... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
min_qubits=2
max_qubits=18
skip_qubits=1
max_circuits=3
num_shots=1000
Noise_Inclusion = False
saveplots = False
Memory_utilization_plot = True
gate_counts_plots = True
ype_o... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | import numpy as np
from numpy import pi
# importing Qiskit
from qiskit import QuantumCircuit, transpile, assemble, Aer
from qiskit.visualization import plot_histogram, plot_bloch_multivector
qc = QuantumCircuit(3)
qc.h(2)
qc.cp(pi/2, 1, 2)
qc.cp(pi/4, 0, 2)
qc.h(1)
qc.cp(pi/2, 0, 1)
qc.h(0)
qc.swap(0, 2)
... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | from qiskit import BasicAer
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import Shor
N = 15
shor = Shor(N)
backend = BasicAer.get_backend('qasm_simulator')
quantum_instance = QuantumInstance(backend, shots=1024)
ret = shor.run(quantum_instance)
print("The list of factors of {} as comput... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | #Assign these values as per your requirements.
global min_qubits,max_qubits,skip_qubits,max_circuits,num_shots,Noise_Inclusion
min_qubits=4
max_qubits=15 #reference files are upto 12 Qubits only
skip_qubits=2
max_circuits=3
num_shots=4092
gate_counts_plots = True
Noise_Inclusion = False
saveplots = False... |
https://github.com/PavanCyborg/Quantum-Algorithms-Benchmarking | PavanCyborg | import sys
sys.path[1:1] = ["_common", "_common/qiskit"]
sys.path[1:1] = ["../../_common", "../../_common/qiskit"]
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import time
import math
import os
import numpy as np
np.random.seed(0)
import execute as ex
import metrics as metrics
from... |
https://github.com/xin-0/QC-jupyter | xin-0 | import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, execute, BasicAer
from qiskit.visualization import plot_bloch_multivector, plot_histogram
circ = QuantumCircuit(2)
circ.x(0)
circ.x(1)
circ.h(0)
circ.cx(0,1)
circ.measure_all()
circ.draw("mpl")
res_sim = BasicAer.get_backend("q... |
https://github.com/xin-0/QC-jupyter | xin-0 | import numpy as np
from math import pi
from qiskit import ClassicalRegister, QuantumCircuit, QuantumRegister, BasicAer, execute, IBMQ
from qiskit.visualization import plot_bloch_multivector, plot_histogram
def pe_circ_init(size:int):
#quantum register and single state for storing eigen-state
qr = Quant... |
https://github.com/xin-0/QC-jupyter | xin-0 | import numpy as np
from qiskit.tools.jupyter import *
from qiskit import IBMQ
# ibm account manager
# - communicate with online account
# - store/delete
# - enable/disenable
# - communicate with ibmq online devices, quantum computers
# - get actual quantum computers as backend
IBMQ.loa... |
https://github.com/xin-0/QC-jupyter | xin-0 | # circuit construction and execution:
# - circuit, register, classical bit, executor, simulator
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, BasicAer
# Visualization:
# - basis amplitudes, bloch vector
from qiskit.visualization import plot_histogram, plot_bloch_multivecto... |
https://github.com/trevorpiltch/Grovers-Algorithm | trevorpiltch | from qiskit import *
from math import pi
def amplifier(n):
"""Creates a general diffuser using V and V-Dagger gates"""
circuit = QuantumCircuit(n)
circuit.x(range(n))
#V
circuit.cu1(pi/4, 0, 3)
#V-dagger
circuit.cx(0, 1)
circuit.cu1(-pi/4, 1, 3)
circuit.cx(0, 1)
... |
https://github.com/trevorpiltch/Grovers-Algorithm | trevorpiltch | from qiskit import *
def init(qc, n):
"""Prepares qubits for algorithm"""
qc.x(n)
qc.barrier()
qc.h(range(n+1))
qc.barrier()
|
https://github.com/trevorpiltch/Grovers-Algorithm | trevorpiltch |
import numpy as np
import networkx as nx
import qiskit
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, assemble
from qiskit.quantum_info import Statevector
from qiskit.aqua.algorithms import NumPyEigensolver
from qiskit.quantum_info import Pauli
from qiskit.aqua.operators... |
https://github.com/trevorpiltch/Grovers-Algorithm | trevorpiltch | from qiskit import *
def oracle(n, target_binary):
"""Creates an oracle based on the implementation here: https://github.com/SaashaJoshi/grovers-algorithm"""
circuit = QuantumCircuit(n + 1)
for index, value in reversed(list(enumerate(target_binary))):
if value == '0':
circuit.x... |
https://github.com/trevorpiltch/Grovers-Algorithm | trevorpiltch | from qiskit import *
def get_result(qc, shots=1024):
"""Runs the circuit on the simulator"""
backend = Aer.get_backend('qasm_simulator')
result = execute(qc, backend, shots = shots).result()
counts = result.get_counts()
return counts
def parse_result(counts, p=False):
"""Returns th... |
https://github.com/Harshithan07/Quantum-Computing-using-Qiskit-SDK | Harshithan07 | from qiskit import *
from qiskit.tools.visualization import plot_histogram
%matplotlib inline
secretnumber = '11100011'
circuit = QuantumCircuit(len(secretnumber)+1,len(secretnumber))
circuit.h(range(len(secretnumber)))
circuit.x(len(secretnumber))
circuit.h(len(secretnumber))
circuit.barrier()
for i... |
https://github.com/Harshithan07/Quantum-Computing-using-Qiskit-SDK | Harshithan07 | import qiskit
qiskit.__qiskit_version__
from qiskit import IBMQ
IBMQ.save_account('46fd3c15ef48cd5f5d6e4a8ae48748af512d2a57b1647282d61d7e98fda97a54d4be4ab8ff433fccd6613f9e30b3819a1aef9d6262f4980804cb2cd3952f7850')
IBMQ.load_account()
from qiskit import *
qr = QuantumRegister(2)
cr = ClassicalRegist... |
https://github.com/Harshithan07/Quantum-Computing-using-Qiskit-SDK | Harshithan07 | from qiskit import *
IBMQ.load_account()
from qiskit.tools.visualization import plot_bloch_multivector
circuit = QuantumCircuit(1,1)
circuit.x(0)
simulator = Aer.get_backend('statevector_simulator')
result = execute(circuit, backend = simulator).result()
statevector = result.get_statevector()
print(statev... |
https://github.com/Harshithan07/Quantum-Computing-using-Qiskit-SDK | Harshithan07 | from qiskit import *
circuit = QuantumCircuit(3,3)
%matplotlib inline
circuit.draw(output='mpl')
circuit.x(0)
circuit.barrier()
circuit.draw(output='mpl')
circuit.h(1)
circuit.cx(1,2)
circuit.draw(output='mpl')
circuit.cx(0,1)
circuit.h(0)
circuit.draw(output='mpl')
circuit.barrier()
circuit.mea... |
https://github.com/55blabs/grovers-algothrim | 55blabs | #Classical vs Quantum Computer
#!/usr/bin/env python
# coding: utf-8
# In[2]:
#simple unordered list of elements
my_list = [1, 3, 5, 2, 4, 9, 5, 8, 0, 7]
# In[4]:
#defining my varibale
#set wining number you would like
def the_oracle(my_input):
winner=7
if my_input is winner:
... |
https://github.com/theRealNoah/qiskit-grovers-3by3 | theRealNoah | # Quantum Computing and Communications Term Project
# Spring 2021 by Noah Hamilton
# Inspired by https://qiskit.org/textbook/ch-algorithms/grover.html#sudoku
# This is the code for the implementation of the Grover's Algorithm solving a
# 3x3 Binary Sudoku.
# Problem Environment + Rules
# Each Column must co... |
https://github.com/Yadu9238/Shor-Algo | Yadu9238 | from qiskit import BasicAer
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import Shor
N = 15
shor = Shor(N)
backend = BasicAer.get_backend('qasm_simulator')
quantum_instance = QuantumInstance(backend, shots=1024)
ret = shor.run(quantum_instance)
print("The list of factors of {} as comput... |
https://github.com/darkmatter2000/Quantum_phase_estimation | darkmatter2000 | 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/topgun007-oss/Quantum-gates | topgun007-oss | from qiskit import *
from qiskit.visualization import plot_bloch_multivector, plot_histogram
from qiskit.tools.monitor import job_monitor
from matplotlib import style
style.use('dark_background')
qc = QuantumCircuit(1,1)
qc.h(0)
qc.measure([0], [0])
qc.draw('mpl')
qasm_simulator = Aer.get_backend('qasm_sim... |
https://github.com/soultanis/Quantum-Database-Search | soultanis | operation DatabaseOracleFromInts(
markedElement : Int,
markedQubit: Qubit,
databaseRegister: Qubit[]
) : Unit {
body (...) {
(ControlledOnInt(markedElement, X))(databaseRegister, markedQubit);
}
adjoint auto;
controlled auto;
adjoint controlled auto;
}
Control... |
https://github.com/soultanis/Quantum-Database-Search | soultanis | # Import the Qiskit SDK
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister
from qiskit import available_backends, execute, Aer
from qiskit.tools.visualization import plot_histogram, circuit_drawer, plot_state
# Create a Quantum Register with 2 qubits.
q = QuantumRegister(2)
# Create a Classic... |
https://github.com/soultanis/Quantum-Database-Search | soultanis | 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/soultanis/Quantum-Database-Search | soultanis | circuit = None
oracle_simple = None
execute = None
Aer = None
IBMQ = None
least_busy = None
def _import_modules():
print("Importing modules")
global circuit, oracle_simple, execute, least_busy
import circuit
import oracle_simple
from qiskit import execute
from qiskit.backends.ibm... |
https://github.com/soultanis/Quantum-Database-Search | soultanis | import grover_test as gt
# Simulator-Backend
# output = gt.build_and_run(3, [1])
# IBMQ-Backend
output = gt.build_and_run(2, [1], real=True, online=True)
print(output)
|
https://github.com/soultanis/Quantum-Database-Search | soultanis | from qiskit import IBMQ
import sys
def get_job_status(backend, job_id):
backend = IBMQ.get_backend(backend)
print("Backend {0} is operational? {1}".format(
backend.name(),
backend.status()['operational']))
print("Backend was last updated in {0}".format(
backend.properties... |
https://github.com/JoelHBierman/SSVQE | JoelHBierman | # 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 derivative works of this code must retain this
# copyright notice, an... |
https://github.com/JoelHBierman/SSVQE | JoelHBierman | # 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 derivative works of this code must retain this
# copyright notice, an... |
https://github.com/osamarais/qiskit_iterative_solver | osamarais | import qiskit
from qiskit import QuantumCircuit, QuantumRegister
from qiskit.extensions import UnitaryGate
import numpy as np
from scipy.linalg import fractional_matrix_power
from scipy.io import loadmat, savemat
from copy import deepcopy
# problems = ((1,4),(1,8),(1,16),(2,4),(2,8),(2,16),(3,4),(3... |
https://github.com/osamarais/qiskit_iterative_solver | osamarais |
import qiskit
from qiskit import QuantumCircuit, QuantumRegister
from qiskit.extensions import UnitaryGate
import numpy as np
from scipy.linalg import fractional_matrix_power
from scipy.io import loadmat
from copy import deepcopy
# problem = 'lower triangular'
# problem = 'lower triangular identit... |
https://github.com/Akshara-Bulkapuram/Quantum-Hadamard-Edge-detection | Akshara-Bulkapuram | # Importing standard Qiskit libraries
from qiskit import *
from qiskit import IBMQ
from qiskit.compiler import transpile, assemble
from qiskit.tools.jupyter import *
from qiskit.visualization import *
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style
style.use('dark_background')
... |
https://github.com/m0tela01/GroversAlgorithmQSvsQiskit | m0tela01 | %matplotlib inline
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, execute, Aer, IBMQ, BasicAer
from qiskit.compiler import transpile, assemble
from qiskit.providers.aer import QasmSimulator, StatevectorSimulator, UnitarySimulator
from qiskit.visualization import *
from qiskit.visualization ... |
https://github.com/pathakis/Introduction-To-Qiskit | pathakis | from collections import namedtuple
import matplotlib.pyplot as plt
import numpy as np
import qutip
from qutip import Qobj, Bloch, basis, ket, tensor
import seaborn as sns
sns.set_theme(style="whitegrid")
%matplotlib inline
from qiskit import QuantumCircuit, Aer, transpile, assemble
from qiskit.visualizati... |
https://github.com/marcoparadina/Qiskit_Hackathon_ETH | marcoparadina | # Write your code here
import numpy as np
import matplotlib.pyplot as plt
#Parameters of the distribution
mu = 0.1
sigma = 0.2
S0 = 50
#We want to simulate npaths=10000 paths of the r.v
#for tha we discretize the time from t=0 to T=10 in n=100 steps
n = 100
npaths=10000
T=10
dt =T/n
np.random.see... |
https://github.com/AlluSu/Grover-Search | AlluSu | '''
Demonstrating Grover's search algorithm.
Scenario: We have a phone book containing names and numbers. Because the phone book is sorted alphabetically by names,
it is easy to find a persons phone number by persons name. However, a more difficult task would be if we want to find a person by a phone number.
Numb... |
https://github.com/NicoGiamm/Quantum_computing | NicoGiamm | import qiskit
qiskit.__qiskit_version__
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
# importing Qiskit
from qiskit import BasicAer, IBMQ
from qiskit import QuantumCircuit, ClassicalRegister, QuantumRegister, execute
from qiskit.compiler import transpile
from qiskit.tools.visualiza... |
https://github.com/NicoGiamm/Quantum_computing | NicoGiamm | import cirq
import numpy as np
from qiskit import QuantumCircuit, execute, Aer
import seaborn as sns
import matplotlib.pyplot as plt
plt.rcParams['figure.figsize'] = (15,10)
q0, q1, q2 = [cirq.LineQubit(i) for i in range(3)]
circuit = cirq.Circuit()
#entagling the 2 quibits in different laboratories
#and p... |
https://github.com/RishwiBT/Open-Quantum-Systems-Algorithms | RishwiBT | # Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile
from qiskit.visualization import *
from ibm_quantum_widgets import *
# qiskit-ibmq-provider has been deprecated.
# Please see the Migration Guides in https://ibm.biz/provider_migration_guide for more detail.
from qiskit_ibm_runti... |
https://github.com/darkn3to/dinner-problem | darkn3to | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, Aer, IBMQ
from qiskit.tools.jupyter import *
from qiskit.visualization import *
from ibm_quantum_widgets import *
from qiskit.providers.aer import QasmSimulator
# Loading your IBM Quantum account(s)
provid... |
https://github.com/Jayshah25/Quantum-Algorithms-and-Circuits | Jayshah25 | import numpy as np
zero_state = np.array([[1],[0]])
one_state = np.array([[0],[1]])
print("The |0> is \n", zero_state)
print("The |1> is \n", one_state)
print("The shape of the Vector |0> is",zero_state.shape)
print("The shape of the Vector |1> is",one_state.shape)
!pip install qiskit #Install qiskit on co... |
https://github.com/Jayshah25/Quantum-Algorithms-and-Circuits | Jayshah25 | import numpy as np
zero_state = np.array([[1],[0]])
one_state = np.array([[0],[1]])
print("The |0> is \n", zero_state)
print("The |1> is \n", one_state)
print("The shape of the Vector |0> is",zero_state.shape)
print("The shape of the Vector |1> is",one_state.shape)
#Getting the user input int values for tw... |
https://github.com/Christophe-pere/Deutsch_Jozsa_qiskit | Christophe-pere | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, assemble, Aer, IBMQ, execute
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_bloch_multivector, plot_histogram
class DeutschJozsa:
'''
Class to generate a DeutschJozs... |
https://github.com/maximusron/qgss_2021_labs | maximusron | from qiskit.circuit.library import RealAmplitudes
ansatz = RealAmplitudes(num_qubits=2, reps=1, entanglement='linear')
ansatz.draw('mpl', style='iqx')
from qiskit.opflow import Z, I
hamiltonian = Z ^ Z
from qiskit.opflow import StateFn
expectation = StateFn(hamiltonian, is_measurement=True) @ StateFn(an... |
https://github.com/maximusron/qgss_2021_labs | maximusron | import numpy as np
# Importing standard Qiskit libraries
from qiskit import QuantumCircuit, transpile, assemble, Aer, IBMQ, execute
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_bloch_multivector, plot_histogram
from qiskit_textbook.problems import dj_problem_oracle
def lab... |
https://github.com/maximusron/qgss_2021_labs | maximusron | # General Imports
import numpy as np
# Visualisation Imports
import matplotlib.pyplot as plt
# Scikit Imports
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler,... |
https://github.com/maximusron/qgss_2021_labs | maximusron | # General tools
import numpy as np
import matplotlib.pyplot as plt
# Qiskit Circuit Functions
from qiskit import execute,QuantumCircuit, QuantumRegister, ClassicalRegister, Aer, transpile
import qiskit.quantum_info as qi
# Tomography functions
from qiskit.ignis.verification.tomography import process_tomogra... |
https://github.com/maximusron/qgss_2021_labs | maximusron | import networkx as nx
import numpy as np
import plotly.graph_objects as go
import matplotlib as mpl
import pandas as pd
from IPython.display import clear_output
from plotly.subplots import make_subplots
from matplotlib import pyplot as plt
from qiskit import Aer
from qiskit import QuantumCircuit
from qiskit.v... |
https://github.com/jacobwatkins1/rodeo-algorithm | jacobwatkins1 | import numpy as np
from qiskit import QuantumCircuit, transpile
from qiskit.quantum_info import Kraus, SuperOp
from qiskit.providers.aer import AerSimulator
from qiskit.tools.visualization import plot_histogram
# Import from Qiskit Aer noise module
from qiskit.providers.aer.noise import NoiseModel
from qiskit.... |
https://github.com/jacobwatkins1/rodeo-algorithm | jacobwatkins1 | import numpy as np
from sympy import *
from sympy.solvers import solve
import random
from qiskit import *
import scipy as sp
from numpy import linalg as la
from scipy import linalg as sla
from IPython.display import clear_output
from numpy import linalg as la
from qiskit.tools.visualization import plot_histog... |
https://github.com/jacobwatkins1/rodeo-algorithm | jacobwatkins1 | import numpy as np
from sympy import *
from qiskit import *
from qiskit.quantum_info import Kraus, SuperOp
from qiskit.providers.aer import AerSimulator
from qiskit.tools.visualization import plot_histogram
# Import from Qiskit Aer noise module
from qiskit.providers.aer.noise import NoiseModel
from qiskit.pro... |
https://github.com/jacobwatkins1/rodeo-algorithm | jacobwatkins1 | # Import statements
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit.circuit import Parameter, Gate
import matplotlib.pyplot as plt
#from qiskit.opflow import I, X, Y, Z, PauliOp, MatrixEvolution, MatrixOp
#from qiskit.quantum_info import Operator
def zsum(... |
https://github.com/AislingHeanue/Quantum-Computing-Circuits | AislingHeanue | import matplotlib.pyplot as plt
import numpy as np
from qiskit import QuantumCircuit, Aer, execute, transpile, assemble, QuantumRegister, ClassicalRegister
from qiskit.visualization import plot_histogram
def binary(num,length): #converts an integer to a binary number with defined length
b = bin(num)[2:]
... |
https://github.com/AislingHeanue/Quantum-Computing-Circuits | AislingHeanue | from scipy.fft import fft
import matplotlib.pyplot as plt
import numpy as np
from tqdm import tqdm
from fractions import Fraction
from numpy.random import choice
import warnings
warnings.filterwarnings("ignore", category=RuntimeWarning)
#some Runtime Warnings occur when graph is set to true
delta = lambd... |
https://github.com/AislingHeanue/Quantum-Computing-Circuits | AislingHeanue | import matplotlib.pyplot as plt
import numpy as np
from fractions import Fraction
from qiskit import QuantumCircuit, Aer, execute, transpile, assemble, QuantumRegister, ClassicalRegister
from qiskit.visualization import plot_histogram
from qiskit.circuit.library import DraperQFTAdder as draper
# functions
... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | min_qubits=2
max_qubits=8
skip_qubits=1
max_circuits=3
num_shots=1000
backend_id="dm_simulator"
#backend_id="statevector_simulator"
#hub="ibm-q"; group="open"; project="main"
provider_backend = None
exec_options = {}
# # ==========================
# # *** If using IBMQ hardware, run this once to a... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Amplitude Estimation Benchmark Program via Phase Estimation - QSim
"""
import copy
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = ["_common", "_common/qsim", "quantum-fourier-transform/qsim"]
sys.path[1:1] = ["../../_com... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Amplitude Estimation Benchmark Program via Phase Estimation - QSim
"""
import copy
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = ["_common", "_common/qsim", "quantum-fourier-transform/qsim"]
sys.path[1:1] = ["../../_com... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | import matplotlib.pyplot as plt
import numpy as np
import copy
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister, assemble
from collections.abc import Iterable
# Construct A operator that takes |0>_{n+1} to sqrt(1-a) |psi_0>|0> + sqrt(a) |psi_1>|1>
def A_gen(num_state_qubits, a, p... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Bernstein-Vazirani Benchmark Program - QSim
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = [ "_common", "_common/qsim" ]
sys.path[1:1] = [ "../../_common", "../../_common/qsim" ]
import execute as ex
import metrics ... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Bernstein-Vazirani Benchmark Program - QSim
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = [ "_common", "_common/qsim" ]
sys.path[1:1] = [ "../../_common", "../../_common/qsim" ]
import execute as ex
import metrics ... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Bernstein-Vazirani Benchmark Program - QSim
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = [ "_common", "_common/qsim" ]
sys.path[1:1] = [ "../../_common", "../../_common/qsim" ]
import execute as ex
import metrics ... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Deutsch-Jozsa Benchmark Program - QSim
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = [ "_common", "_common/qsim" ]
sys.path[1:1] = [ "../../_common", "../../_common/qsim" ]
import execute as ex
import metrics as me... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Deutsch-Jozsa Benchmark Program - QSim
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = [ "_common", "_common/qsim" ]
sys.path[1:1] = [ "../../_common", "../../_common/qsim" ]
import execute as ex
import metrics as me... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Deutsch-Jozsa Benchmark Program - QSim
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = [ "_common", "_common/qsim" ]
sys.path[1:1] = [ "../../_common", "../../_common/qsim" ]
import execute as ex
import metrics as me... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | import numpy as np
def grovers_dist(num_qubits, marked_item, n_iterations):
dist = {}
for i in range(2**num_qubits):
key = bin(i)[2:].zfill(num_qubits)
theta = np.arcsin(1/np.sqrt(2 ** num_qubits))
if i == marked_item:
dist[key] = np.sin((2*n_iterations+1)*theta)**2
... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Grover's Search Benchmark Program - QSim
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = ["_common", "_common/qsim"]
sys.path[1:1] = ["../../_common", "../../_common/qsim"]
import execute as ex
import metrics as metr... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Grover's Search Benchmark Program - QSim
"""
import sys
import time
import numpy as np
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
sys.path[1:1] = ["_common", "_common/qsim"]
sys.path[1:1] = ["../../_common", "../../_common/qsim"]
import execute as ex
import metrics as metr... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | import numpy as np
def grovers_dist(num_qubits, marked_item, n_iterations):
dist = {}
for i in range(2**num_qubits):
key = bin(i)[2:].zfill(num_qubits)
theta = np.arcsin(1/np.sqrt(2 ** num_qubits))
if i == marked_item:
dist[key] = np.sin((2*n_iterations+1)*theta)**2
... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Hamiltonian-Simulation Benchmark Program - QSim
"""
import json
import os
import sys
import time
import numpy as np
from qiskit import ClassicalRegister, QuantumCircuit, QuantumRegister
sys.path[1:1] = ["_common", "_common/qsim"]
sys.path[1:1] = ["../../_common", "../../_common/qsim"]
import exec... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Hamiltonian-Simulation Benchmark Program - QSim
"""
import json
import os
import sys
import time
import numpy as np
from qiskit import ClassicalRegister, QuantumCircuit, QuantumRegister
sys.path[1:1] = ["_common", "_common/qsim"]
sys.path[1:1] = ["../../_common", "../../_common/qsim"]
import exec... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Many Body Localization Benchmark Program - Qiskit
"""
import sys
sys.path[1:1] = ["_common", "_common/qiskit"]
sys.path[1:1] = ["../../_common", "../../_common/qiskit"]
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import time
import math
import numpy as np
np.random.seed(0)
i... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
Hamiltonian-Simulation (Transverse Field Ising Model) Benchmark Program - Qiskit
"""
import sys
sys.path[1:1] = ["_common", "_common/qiskit"]
sys.path[1:1] = ["../../_common", "../../_common/qiskit"]
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import time
import math
import nu... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | import sys
sys.path[1:1] = ["_common", "_common/qiskit"]
sys.path[1:1] = ["../../_common", "../../_common/qiskit"]
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
import time
import math
import os
import numpy as np
np.random.seed(0)
import execute as ex
import metrics as metrics
from... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | #pip install qiskit-ibmq-provider
min_qubits=4
max_qubits=12
max_circuits=3
num_shots=1000
backend_id="dm_simulator"
#hub="ibm-q"; group="open"; project="main"
provider_backend = None
exec_options = None
# # ==========================
# # *** If using IBMQ hardware, run this once to authenticate
# from... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
HHL Benchmark Program - QSim
"""
import sys
import time
import numpy as np
pi = np.pi
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute
import sparse_Ham_sim as shs
import uniform_controlled_rotation as ucr
from qiskit.circuit.library i... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
HHL Benchmark Program - QSim
"""
import sys
import time
import numpy as np
pi = np.pi
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import Aer, execute
import sparse_Ham_sim as shs
import uniform_controlled_rotation as ucr
# include QFT in this list, so we ... |
https://github.com/GIRISHBELANI/QC_Benchmarks_using_dm-simulator | GIRISHBELANI | """
HHL Benchmark Program - Qiskit (KM initial version 220402)
TODO:
- switch from total variation distance to Hellinger fidelity
"""
import sys
import time
import numpy as np
pi = np.pi
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import Aer, execute
impo... |
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