Qibo is an open-source full stack API for quantum simulation and quantum hardware control.
Some of the key features of Qibo are:
- Definition of a standard language for the construction and execution of quantum circuits with device agnostic approach to simulation and quantum hardware control based on plug and play backend drivers.
- A continuously growing code-base of quantum algorithms applications presented with examples and tutorials.
- Efficient simulation backends with GPU, multi-GPU and CPU with multi-threading support.
- Simple mechanism for the implementation of new simulation and hardware backend drivers.
Qibo documentation is available here.
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.
If you use the package please refer to the documentation for citation instructions.
- Quantum Research Center, Technology Innovation Institute (TII), United Arab Emirates
- Università degli Studi di Milano (UNIMI), Italy.
- Istituto Nazionale di Fisica Nucleare (INFN), Italy.
- European Organization for Nuclear research (CERN), Switzerland.
- Universitat de Barcelona (UB), Spain.
- Barcelona Supercomputing Center (BSC), Spain.
- Qilimanjaro Quantum Tech, Spain.
- Centre for Quantum Technologies (CQT), Singapore.
- Institute of High Performance Computing (IHPC), Singapore.
- National Supercomputing Centre (NSCC), Singapore.
- RIKEN Center for Computational Science (R-CCS), Japan.
- NVIDIA (cuQuantum), USA.