kareem1925

from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister 
from qiskit import *
import numpy as np

qc = QuantumCircuit(3,1)
weights = np.random.rand(18)                                        
# First layer
qc.u3(weights[0],weights[1],weights[2],0)                               
qc.u3(weights[3],weights[4],weights[5],1)                               
qc.u3(weights[6],weights[7],weights[8],2)

kareem1925

from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister 
from qiskit import *
import numpy as np

weights = np.random.rand(18)                                            
# First layer
qc.u3(weights[0],weights[1],weights[2],0)                               
qc.u3(weights[3],weights[4],weights[5],1)                               
qc.u3(weights[6],weights[7],weights[8],2)
qc.cnot(0,1)                                                            

kareem1925

import numpy as np 
import matplotlib.pyplot as plt
from sklearn import svm

X = np.array([[-1,-2],[2,6],[-1.5,-2.8],[4,4],[-1,-9.6], [9,11]])                                                   

y = [0,1,0,1,0,1] 

clf = svm.SVC(kernel='linear', C = 1.0,tol=1e-12,random_state=5)

kareem1925

import sys
from PIL import Image


def calculate_brightness(image):
    greyscale_image = image.convert('L')
    histogram = greyscale_image.histogram()
    pixels = sum(histogram)
    brightness = scale = len(histogram)