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This chapter will be most effective for readers who are already familiar with vectors and matrices. Those who aren't familiar will likely be fine too, though it might be useful to consult our Introduction to Linear Algebra for Quantum Computing from time to time.. Since we will be using Qiskit, our Python-based framework for quantum computing, it would also be useful to know the basics of Python.
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Learn Quantum Computation using Qiskit. Greetings from the Qiskit Community team! This textbook is a university quantum algorithms/computation course supplement based on Qiskit to help learn: The mathematics behind quantum algorithms. Details about today's non-fault-tolerant quantum devices. Writing code in Qiskit to implement quantum ...
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Designers, manufacturers and test engineers rely on QA Technology’s comprehensive buying and user guide to help them understand all the options and choose the right product for their application.
Learn Quantum Computation using Qiskit is the work of several individuals. If you use it in your work, cite it using this bib file or directly as:
We'll start diving deeper into the world of qubits. For this, we'll need some way of keeping track of what they are doing when we apply gates. The most powerful way to do this is to use the mathematical language of vectors and matrices. This chapter will be most effective for readers who are already familiar with vectors and matrices.
The textbook shows students how to use Qiskit to experiment with quantum algorithms and hardware, and uses this to reinforce their understanding. If you are using the Qiskit Textbook in your course, you can join the IBM Quantum Educators Program.