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Simple minimalist quantum computing simalation for python

# pythum

Simple minimalist quantum computing simalation for python

import pythum


## Usage

### Qubit

Class for qubit manipulation and instanciation by notation

from pythum import Qubit

qubit = Qubit()


|0>

#### Public Methods

##### Qubit.from_notation(cls, value: str) -> 'Qubit'

Instanciate a qubit by the formal notation.

The following are possible values:

• "|0>": 0
• "|1>": 1
• "|10>", "|01>": super position
from pythum import Qubit

qubit1 = Qubit.from_notation("|0>")  # 0
qubit2 = Qubit.from_notation("|1>")  # 1
qubit3 = Qubit.from_notation("|10>")  # Super position


|0> |1> |01>

##### Qubit.from_qubit(cls, qubit: 'Qubit') -> 'Qubit'

Instanciate a copy of another qubit.

from pythum import Qubit

qubit1 = Qubit.from_notation("|1>")  # 1
qubit2 = Qubit.from_qubit(qubit1)  # 1


|1> |1>

##### up(self) -> 'self'

Points up the eletron.

The outcome of any measure will always be 1

from pythum import Qubit

qubit = Qubit()  # 0
qubit.up()       # 1


|1>

##### down(self) -> 'self'

Points down the eletron.

The outcome of any measure will always be 0

from pythum import Qubit

qubit = Qubit()  # 0
qubit.up()       # 1


|0>

##### left(self) -> 'self'

Points the eletronto the left.

The outcome of a measure may be 0 or 1

from pythum import Qubit

qubit = Qubit().left()  # Super position


|01>

##### right(self) -> 'self'

Points the eletronto the right.

The outcome of a measure may be 0 or 1

from pythum import Qubit

qubit = Qubit().left()  # Super position


|01>

#### Properties

##### alpha

Alpha probability for mesuring 0.

The returned probability is a number between 0 and 1.

from pythum import Qubit

Qubit().alpha
Qubit().up().alpha
Qubit().left().alpha
Qubit().right().alpha


1 0 0.5 0.5

##### beta

Beta probability for mesuring 1

The returned probability is a number between 0 and 1.

from pythum import Qubit

Qubit().beta
Qubit().up().beta
Qubit().left().beta
Qubit().right().beta


0 1 0.5 0.5

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