CoCalc -- memo.ipynb

Kernel: Python 3 (Anaconda)

In [1]:

from efprob_qu import *

In [2]:

# from quantum-illustrations.py *

k0=ket(0)
k0

In [3]:

print(type(ket(0)))
print(type(k0))

<class 'efprob_qu.State'>

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-3-bb412b2b92a5> in <module>()
      1 print(type(ket(0)))
----> 2 print(type(k0))

NameError: name 'k0' is not defined

In [17]:

print(plus)
print(minus)

[[ 0.5+0.j  0.5+0.j]
 [ 0.5+0.j  0.5+0.j]]
[[ 0.5+0.j -0.5+0.j]
 [-0.5+0.j  0.5+0.j]]

In [18]:

complex(3)

(3+0j)

In [19]:

complex(3,4)

(3+4j)

In [32]:

[1,3] /. 4

  File "<ipython-input-32-80aac62e4fb0>", line 1
    [1,3] /. 4
           ^
SyntaxError: invalid syntax

In [36]:

array([3])

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
<ipython-input-36-e15615023789> in <module>()
----> 1 array([3])

NameError: name 'array' is not defined

In [43]:

cflip(1.1)

---------------------------------------------------------------------------
Exception                                 Traceback (most recent call last)
<ipython-input-43-28112a5a1c6e> in <module>()
----> 1 cflip(1.1)

~/Projects/python/efprob/efprob_qu.py in cflip(r)
   1100 def cflip(r):
   1101     if r < 0 or r > 1:
-> 1102         raise Exception('Coin flip requires a number in the unit interval')
   1103     return State(np.array([[r, 0],
   1104                            [0, 1 - r]]), [2])
Exception: Coin flip requires a number in the unit interval

In [47]:

ps341=probabilistic_state(3,4,1)
print(ps341, type(ps341))

[[ 0.375  0.     0.   ]
 [ 0.     0.5    0.   ]
 [ 0.     0.     0.125]] <class 'efprob_qu.State'>

In [50]:

print(type(cflip(0.2)))

<class 'efprob_qu.State'>

In [65]:

np.array([3,4,1]) / sum([3,4,1])

array([ 0.375,  0.5  ,  0.125])

In [70]:

convex_state_sum( (0.5, ket(0)), (0.5, ket(1)))

[[ 0.5  0. ]
 [ 0.   0.5]]

In [51]:

cfflip

[[ 0.5  0. ]
 [ 0.   0.5]]

In [74]:

point_pred(0,3)

[[ 1.  0.  0.]
 [ 0.  0.  0.]
 [ 0.  0.  0.]]

In [91]:

State(np.array([[1,0],[0,0]]), [2,2])

[[1 0]
 [0 0]]