Titlebook: Quantum Information Processing; Theory and Implement János A. Bergou,Mark Hillery,Mark Saffman Textbook 2021Latest edition Springer Nature

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Quantum Measurement Theory,valent to learning what final state the system is in at the output since information is encoded in the state. In fact, information is the state itself. Since finding out the state of a system can be done only by performing measurements on it, we need a thorough understanding of the quantum theory (a

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Quantum Cryptography,f quantum mechanics are only a short step away from spectacular practical applications. We have already seen two such applications: Dense coding and teleportation. In this chapter we shall deal with what is arguably the most successful area of all of quantum information and quantum computing: Quantu

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Decoherence and Quantum Error Correction,not, e.g. atoms couple to the electromagnetic field and spins couple to other spins via dipole-dipole interactions. These unwanted couplings can cause errors, and we need to protect quantum information against these errors.

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,The Stabilizer Formalism and the Gottesman–Knill Theorem,y for a different reason; it allows us to prove the Gottesman–Knill theorem. That theorem serves as a useful warning. Just because you are manipulating qubits with quantum gates does not guarantee that what you are doing cannot be simulated efficiently on a classical computer.

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Atomic Qubits,more than two energy levels it is possible to prepare, measure, and control a two-dimensional subspace of atomic states using optical techniques that have been developed over the last 50 years. The most precise instrument developed by humankind, the optical atomic clock, exploits the remarkable cohe

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Solid State Qubits,ese approaches do not involve optics or lasers and are therefore closer to the technologies that are widely used today for information processing. On the other hand maintaining and controlling quantum coherence in a solid state material is difficult at room temperatures so the approaches to be discu