qclib 0.0.16

A quantum computing library using qiskit

Quantum computing library (qclib)

Qclib is a quantum computing library implemented using qiskit.

Instalation

The easiest way of installing qclib is by using pip:

pip install qclib

Initializing your first quantum state with qclib

Now that qclib is installed, you can start building quantum circuits to prepare quantum states. Here is a basic example:

$ python

import numpy as np
from qiskit import transpile
from qiskit.providers.aer.backends import AerSimulator
from qclib.state_preparation import LowRankInitialize

# Generate 3-qubit random input state vector
n = 3
rnd = np.random.RandomState(42)
input_vector = rnd.rand(2 ** n) + rnd.rand(2 ** n) * 1j
input_vector = input_vector / np.linalg.norm(input_vector)

# Build a quantum circuit to initialize the input vector
circuit = LowRankInitialize(input_vector).definition

# Construct an ideal simulator
backend = AerSimulator()

# Tests whether the produced state vector is equal to the input vector.
t_circuit = transpile(circuit, backend)
t_circuit.save_statevector()
state_vector = backend.run(t_circuit).result().get_statevector()
print('Equal:', np.allclose(state_vector, input_vector))
# Equal: True

Authors

The first version of qclib was developed at Centro de Informática - UFPE. Qclib is an active project, and other people have contributed.

If you are doing research using qclib, please cite our project. We use a CITATION.cff file, so you can easily copy the citation information from the repository landing page.

License

qclib is free and open source, released under the Apache License, Version 2.0.