Quantum Programming Studio

The realization of large-scale physical quantum computers appears to be challenging, alongside the efforts to design quantum computers, significant efforts are focusing on the development of useful quantum algorithms. In the absence of a large physical quantum computer, an accurate software simulation of quantum computers on a classical computer is required to simulate the execution of those quantum algorithms and to study the behavior of a quantum computer and improve its design. Besides simulating error-free execution quantum circuits on a perfect quantum computer, the QX simulator can simulate realistic noisy execution using different error models such as the depolarizing noise. The user can activate the error model and define a physical error probability to simulate a specific target quantum computer. This error rate can be defined based on the gate fidelity and the qubit decoherence of the target platform.

Cirq is a Python software library for writing, manipulating, and optimizing quantum circuits, and then running them on quantum computers and quantum simulators. Cirq provides useful abstractions for dealing with today’s noisy intermediate-scale quantum computers, where details of the hardware are vital to achieving state-of-the-art results. Cirq comes with built-in simulators, both for wave functions and for density matrices. These can handle noisy quantum channels using monte carlo or full density matrix simulations. In addition, Cirq works with a state-of-the-art wavefunction simulator: qsim. These simulators can be used to mock quantum hardware with the quantum virtual machine. Cirq is used to run experiments on Google's quantum processors. Learn more about the latest experiments and access the code to se how to run them yourself.