Qibo

Qibo is a large open-source quantum ecosystem with many applications and tutorials to explore. It has a decently fast simulator to boot on CPUs and GPUs. It has a full-stack API for quantum simulation and quantum hardware control. The extra learning materials are available through the platforms for Qibo.

The following example implements a basic quantum circuit that performs a Quantum Fourier Transform (QFT) on two qubits.

Getting Started

Below is a base example for creating and running the Qibo simulator:

import numpy as np
from qibo import models, gates

# Define a quantum circuit with 2 qubits
circuit = models.Circuit(2)

# Apply Hadamard gate on the first qubit
circuit.add(gates.H(0))

# Apply controlled phase rotation gates
circuit.add(gates.CU1(0, 1, theta=np.pi / 2))

# Apply Hadamard gate on the second qubit
circuit.add(gates.H(1))

# Swap qubits 0 and 1 for the final step of QFT
circuit.add(gates.SWAP(0, 1))

# Execute the circuit on the default simulator
result = circuit()

# Print the result (wavefunction)
print("Quantum Fourier Transform Result:", result.state())

Code Insights

  • Import the necessary dependencies.
  • Define the quantum circuit with two qubits.
  • Hints between the lines:
    • The gates.H() is creating a single qubit Hadamard gate.
    • The CU1 is the controlled rotation that creates the phase shift for QFT ,the theta= is to apply the phase shift.
    • The gates.SWAP() swaps the qubits to reverse their positions as part of the QFT.
  • Print out the circuit.

Follow up on the GWDG Updates:

  • Qibo
    • The version of GPU supported Qibo provided by GWDG: 0.2.8v
    • The version of CPU supported Qibo provided by GWDG: 0.2.13v

Key Features

  • User-friendly: Qibo is a quantum computing framework that prioritizes user-friendliness and strong performance. Designed for both beginners and experts, Qibo offers a simple interface for building and simulating quantum circuits, as well as support for hybrid classical-quantum algorithms.

  • Qibo is created with simplicity as a priority, offering a straightforward and user-friendly interface for building and running quantum circuits, thus making it easy for beginners in quantum computing.

  • Multiple Backend Support: Qibo offers support for various backends such as CPU, GPU, and distributed architectures to enable users to adjust the size of their simulations according to the computational resources at hand.

  • Variational Algorithms: The framework includes pre-built components for variational quantum algorithms such as VQE and QAOA, which are essential for solving optimization problems on quantum hardware.

  • Quantum Error Mitigation: With built-in tools for error mitigation, Qibo helps users simulate realistic quantum environments and develop techniques to improve the accuracy of noisy quantum computations.

Supplementary Modules

Command
Description
on_qubits(*qubits)Generator of gates contained in the circuit acting on specified qubits.
light_cone(*qubits)Reduces circuit to the qubits relevant for an observable.
copy(deep: bool = False)Creates a copy of the current circuit as a new circuit model.
dagger()Returns the dagger (conjugate transpose) of the gate.
decompose(*free)Decomposes multi-control gates to gates.
matrix(backend=None)Returns the matrix representation of the gate.
generator_eigenvalue()This function returns the eigenvalues of the gate’s generator.
basis_rotation()Transformation required to rotate the basis for measuring the gate.
add(error, gate:)Add a quantum error for a specific gate and qubit to the noise model.
eigenvalues(k= Number of eigenvalues to calculate)Computes the eigenvalues for the Hamiltonian.
eigenvectors(k=Number of eigenvalues to calculate)Computes a tensor with the eigenvectors for the Hamiltonian.
ground_state()Computes the ground state of the Hamiltonian.
qibo.quantum_info.shannon_entropy(prob_dist, base: float = 2, backend=None)Calculate the Shannon entropy of a probability array.

The fundamental explanations behind of these functions,operators and states and more can be found on the official Qibo webpage.