quantumjim

pi=3.14159265359
def cos(T):
  T=T%(2*pi)
  c=1
  t=1
  for j in range(1,16):
    t=-t*T**2/(2*j*(2*j-1))
    c+=t
  return c
def sin(T):

quantumjim

class QuantumCircuit:
  def __init__(c,n):
    c.n=n
    c.data = []
  def x(c,q):
    c.data.append(('r',pi,q))
  def rx(c,T,q):
    c.data.append(('r',T,q))
  def h(c,q):
    c.data.append(('h',q))

quantumjim

def execute(c,shots=1024,output='counts'):
  p2s=['I','X','Y','Z']*(c.n==2)+['']*(c.n==1)
  def j(p1,p2,q):
    return (p1+p2)*(q==1)+(p2+p1)*(q==0)

quantumjim

from PIL import Image
import time

dark = 10

while True:
    
    # get new this

    left = {}

quantumjim

Copyright IBM - Research 2020
Apache 2.0

quantumjim

import secrets
import numpy as np

samples = 1000000

zs = 0
os = 0

number_list = []
for _ in range(samples):

quantumjim

quantumjim

quantumjim

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, and modified files need to carry a notice indicating
that they have been altered from the originals.

quantumjim

from qiskit import QuantumCircuit
fromm qiskit.quantum_info import Densitymatrix
from qiskit.providers.aer.utils import insert_noise

# make a circuit (her with 2 qubits)
circ = QuantumCircuit(2)

# add a noise model to make it noisy
noise_circ = insert_noise(circuit, noise_model, transpile=True)