
Learn Quantum Computing with Python and IBM Quantum
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Noise models are used to represent various noise effects that cause errors in quantum circuits. The origin of the noise stems from many sources within the quantum system. Based on the currently available devices and those coming in the near future, the number of errors on a device could be significant, depending on the quantum circuit executed on them.
In this section, we will review the various types of errors that can affect a qubit, gates, and readouts. We will also learn how to generate noise models either based on the configuration information from the real devices, or noise models created by ourselves, with which we can simulate the real devices using the Aer simulators.
We’ll begin by demonstrating how to implement the various types of noise models that are prebuilt in the Aer noise libraries that will help make our experiments seem more realistic: