pyqbit 0.2.2

Quantum bit and the usual gates in numeric forms straight from the Wikipedia

# pyqbit Quantum bit and the usual gates in numeric forms straight from the Wikipedia. ## apply Apply gate to a state

For example this chain evaluates to zero:

>>> from functools import reduce
>>> s = reduce( apply, [Zero(), H(), PauliZ(), H(), PauliX()])
>>> Measure.one(s)
0

Swap places of a bit

>>> one = Combine(Zero(), One())
>>> Measure.one(one)
1
>>> one
array([[0],
       [1],
       [0],
       [0]])
>>> two = apply(one, SWAP())
>>> Measure.one(two)
2
>>> two
array([[0],
       [0],
       [1],
       [0]])

## Quantum bit definitions

### Zero Qubit that evaluates as zero every single time

>>> Zero
|0>
>>> Zero()
array([[1],
       [0]])
>>> Measure.one(Zero())
0

### One Qubit that evaluates as one every single time

>>> One
|1>
>>> One()
array([[0],
       [1]])
>>> Measure.one(One())
1

### Plus Qubit that evaluates as one and zero evenly

>>> Plus
|+>
>>> Plus()
array([[0.70710678],
       [0.70710678]])

### Minus Qubit that evaluates as one and zero evenly

>>> Minus
|->
>>> Minus()
array([[ 0.70710678],
       [-0.70710678]])

### Measure Simulates the measure process of the qubit

>>> Measure.one(One())
1

### Combine Use Kronecker product of two arrays to combine qubits.

>>> Combine(Zero(),Zero())
array([[1],
       [0],
       [0],
       [0]])

>>> from functools import reduce
>>> reduce(Combine, [One(), Zero(), Zero()])
array([[0],
       [0],
       [0],
       [0],
       [1],
       [0],
       [0],
       [0]])

Each row represents the probability of getting it’s index’s value as a result

>>> Measure.one(Combine(Zero(),Zero()))
0

>>> Measure.one( Combine(One(), Combine(Zero(),Zero())) )
4

### equal The equal is a test if the two qubit states

>>> equal(One(), One())
True
>>> equal(One(), Zero())
False

## Quantum gates

### Identity Identity gate

>>> Identity
Identity
>>> Identity()
array([[1, 0],
       [0, 1]])

### H Hadamard gate

>>> H
H
>>> H()
array([[ 0.70710678,  0.70710678],
       [ 0.70710678, -0.70710678]])

### PauliX Pauli X gate

>>> PauliX
X
>>> PauliX()
array([[0, 1],
       [1, 0]])

### PauliY Pauli Y gate

>>> PauliY
Y
>>> PauliY()
array([[ 0.+0.j, -0.-1.j],
       [ 0.+1.j,  0.+0.j]])

### PauliZ Pauli Z gate

>>> PauliZ
Z
>>> PauliZ()
array([[ 1,  0],
       [ 0, -1]])

### Phase Phase (S, P) gate

>>> Phase
P
>>> Phase()
array([[1.+0.j, 0.+0.j],
       [0.+0.j, 0.+1.j]])

### R R is the custom phase shift gate

>>> from math import pi
>>> R(pi/4)
R(0.7853981633974483)
>>> R(pi/4)()
array([[1.        +0.j        , 0.        +0.j        ],
       [0.        +0.j        , 0.70710678+0.70710678j]])

### CNOT CNOT is the Controlled Not gate (CX)

>>> CNOT
CX
>>> CNOT()
array([[1, 0, 0, 0],
       [0, 1, 0, 0],
       [0, 0, 0, 1],
       [0, 0, 1, 0]])

### CPauliZ CPauliZ is the Controlled Pauli Z gate (CZ)

>>> CPauliZ
CZ
>>> CPauliZ()
array([[ 1,  0,  0,  0],
       [ 0,  1,  0,  0],
       [ 0,  0,  1,  0],
       [ 0,  0,  0, -1]])

### SWAP SWAP is the qbit swap gate

>>> SWAP
SWAP
>>> SWAP()
array([[1, 0, 0, 0],
       [0, 0, 1, 0],
       [0, 1, 0, 0],
       [0, 0, 0, 1]])

## Pauli group

### P1 P1 is the First Pauli Group done from the cross product of [-1, 1, -1j, 1j] and [Identity(), PauliX(), PauliY(), PauliZ()]

>>> P1
P1
>>> p1 = list(P1())
>>> len(p1)
16
>>> equal(p1[0], -1*Identity())
True
>>> equal(p1[1], 1*Identity())
True
>>> equal(p1[2], -1j*Identity())
True
>>> equal(p1[3], 1j*Identity())
True
>>> equal(p1[15], 1j*PauliZ())
True

p1 is a group, so these apply:

Associativy:

>>> all([ any([equal(apply(a,b), c) for c in P1()]) for a in P1() for b in P1()])
True

Identity:

>>> equal( Identity(), p1[1])
True

>>> all([ equal(apply(a, Identity()), a) for a in P1()])
True

Inverse element:

>>> all([ any([equal(apply(a, b), Identity()) for b in P1()]) for a in P1() ])
True