qibo 0.1.2

A framework for quantum computing with hardware acceleration.

Qibo is a Python library for classical simulation of quantum algorithms.

Some of the key features of Qibo are:

• A standard interface for the implementation and extension of quantum algorithms.
• Modular implementation on GPU and CPU with multi-threading support.
• Availability of multi-GPU distributed approach for circuit simulation.
• Full support of double precision simulation.

Documentation

Qibo documentation is available at qibo.readthedocs.io.

• Installation
• Documentation
• Components
• Examples
• Benchmarks

Minimum Working Examples

A simple Quantum Fourier Transform (QFT) example to test your installation:

from qibo.models import QFT

# Create a QFT circuit with 15 qubits
circuit = QFT(15)

# Simulate final state wavefunction default initial state is |00>
final_state = circuit()

Here another example with more gates and shots simulation:

import numpy as np
from qibo.models import Circuit
from qibo import gates

c = Circuit(2)
c.add(gates.X(0))

# Add a measurement register on both qubits
c.add(gates.M(0, 1))

# Execute the circuit with the default initial state |00>.
result = c(nshots=100)

In both cases, the simulation will run in a single device CPU or GPU in double precision complex128.

Citation policy

If you use the package please cite the following references:

• https://arxiv.org/abs/2009.01845
• https://doi.org/10.5281/zenodo.3997194