quanbit 0.0.1

Python library for simulating quantum computor and algorithm.

Quanbit

About

Quanbit is a pythonic package for simulating quantum computer. It faciliate basic quantum algorithm exploration on a classic computer.

Platform

Quanbit is a pure python package supporting Windows, Linux and MacOS.

Example: Quantum Teleportation

from quanbit import X, Y, Z, BellBasis
from quanbit import cubit, bell_state, Measure
import numpy as np

# Alice has an unknown qubit C
theta, phi, alpha = np.random.rand(3)
qubit_C = cubit(theta, phi, alpha)

# To teleport the cubit, Alice and Bob need to share a maximally entangled state
# Anyone of the four states is sufficient, we choose 1/sqrt(2) (|00> + |11>) here
qubit_AB = bell_state(0)

# Now the total state is, where @ represent tensor product:
total_state = qubit_C @ qubit_AB

# Project the state of Alice's two qubits as a superpositions of the Bell basis
total_state = BellBasis(total_state, [0, 1])

# Measuring her two cubits in Bell basis
CA, B_state = Measure(total_state, indices[0, 1])

# Rotate Bob's state based on the measurement result
# if CA == (0, 0), no change need to be made
# when CA is in state \Psi+
if CA == (0, 1):
    B_state = X(B_state)
# when CA is in state \Psi-
elif CA == (1, 0):
    B_state = Z(X(B_state))
# when CA is in state \Phi-
elif CA == (1, 1):
    B_state = Z(B_state)
# Now Bob's state is the same as Alice initial qubit_C.

License

Quanbit is distributed under BSD 3-Clause.

Dependence

• Installation requirements: numpy
• Testing requirement: pytest
• QA requirement: tox

Installation

To run tests:

pytest quanbit

To install Quanbit to system:

pip install .

Local build and Testing

To install editable Quanbit locally:

pip install -e .

To run tests:

pytest tests

Quality Assurance

To run QA locally:

tox