Library for quantum computing applications and educations

Blueqat is an open source platform to build quantum computing applications. It contains tools, libraries and community resources for researchers and developers can easily develop their applications. Blueqat has a very simple eco-system.

With method chain, decreasing the amount of coding. Easy for beginners.

Optimization, Chemistry, Machine Learning, there are a lot of tutorials.

It is build on pure python. Easy to install and easy to expand tools for developers.

Using python and pip, easily installed.

pip3 install blueqat

from blueqat import Circuit

from blueqat import vqe

from blueqat.pauli import qubo_bit as q

#The entanglement of 2qubits

Circuit().h[0].cx[0,1].m[:].run(shots=100)

#The quantum-classical hybrid algorithm to find eigenvalue of matrix

hamiltonian = -3*q(0)-3*q(1)+2*q(0)*q(1)

result = vqe.Vqe(vqe.QaoaAnsatz(hamiltonian, step=2)).run()

print(result.most_common(12))

Let's join active online community to exchange knowledge and ask for question on quantum computing.

Join SlackLet's attend to the lecture, and study on Bluqat and quantum computing from the teachers and researchers.

See lecturesLet's watch movies on Youtube for lectures and latest topcis to understand how to use quantum computing.

Watch moviesLet's read technical blogs to see the latest update and technical terms of blueqat team and parterns.

Read BlogsLet's find the solution through the Blueqat python jupyter tutorial to solve your own problem from a lot of examples.

See tutorialsLet's follow @blueqat_sdk on Twitter to get latest news and information about Blueqat team and users.

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