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Dancing with Qubits - Second Edition

You're reading from  Dancing with Qubits - Second Edition

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781837636754
Pages 684 pages
Edition 2nd Edition
Languages
Author (1):
Robert S. Sutor Robert S. Sutor
Profile icon Robert S. Sutor

Table of Contents (26) Chapters

Preface I Foundations
Why Quantum Computing They’re Not Old, They’re Classics More Numbers Than You Can Imagine Planes and Circles and Spheres, Oh My Dimensions 6 What Do You Mean “Probably”? II Quantum Computing
One Qubit Two Qubits, Three Wiring Up the Circuits From Circuits to Algorithms Getting Physical III Advanced Topics
Considering NISQ Algorithms Introduction to Quantum Machine Learning Questions about the Future Afterword
A Quick Reference B Notices C Production Notes Other Books You May Enjoy
References
Index
Appendices

12.4 Expectation and the variational principle

In section 6.6, we defined the concept of expectation. In section 7.3.4, we further related expectation to observables. Let’s re-express some of those results in terms of eigenvectors uj and eigenvalues λj of a Hermitian matrix A from the last section. expectation observable

Let

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be a quantum state. Each aj = ⟨uj|ψ. Therefore,

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We define

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Each Mj is Hermitian and is a projector, meaning that MjMj = Mj2 = Mj. We have projector

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and this is the probability of measuring |uj. The eigenvectors of Mj are the uk for 1 ≤ kn. The eigenvalue of Mj corresponding to uj is 1. All other eigenvalues are 0.

The Mj are observables since their eigenvectors form a basis for our quantum state vector space by construction.

The expected value, or expectation, A of A given the state...

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