
Learn Quantum Computing with Python and IBM Quantum
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In this chapter, we covered just some of the many features included in the Qiskit library. We reviewed creating quantum circuits, as well as executing them on the simulator and real quantum devices. We also reviewed how to concatenate circuits so as to enable you to combine and create composite circuits, which included binding parameters to enable adjustments to various gates.
We covered how the circuits are converted into pulses using Qiskit’s Pulse library and created schedules, which are programs that send pulse information via various channels down to the hardware, and looked at how to obtain the details of the job that was running on the backend.
In the next chapter, we will cover techniques to optimize your quantum circuits by reviewing the features available via pass managers and optimizers. We’ll also learn various ways to visualize your quantum circuits and monitor your jobs as they are executed on the quantum backend systems.