Titlebook: Introduction to Quantum Computing; From a Layperson to Hiu Yung Wong Textbook 20221st edition The Editor(s) (if applicable) and The Author

VOK

Orthonormal Basis, Bra–Ket Notation, and MeasurementUnderstand that orthonormal bases and normalized vectors are used in quantum computing; Have a deeper understanding of Bra–Ket notation; Understand the meaning of superposition coefficient in measurement.

合同

大方不好

Observables, Operators, Eigenvectors, and EigenvaluesUnderstand the connections between operator matrices and observables; Able to find the eigenvalues and eigenvectors of a matrix.

PLE

Kindle

中止

Eigenvalue, Matrix Diagonalization and Unitary MatrixUnderstand the meaning of matrix diagonalization and its equivalence to finding eigenvalues and eigenvectors; able to find eigenvalues and eigenvectors; understand the importance of unitary matrix and its properties.

儀式

Unitary Transformation, Completeness, and Construction of OperatorAble to perform unitary transformation; able to construct unitary transformation matrix from the given bases; be prepared to use the completeness equation for quantum computing; able to construct operator from the given eigenvectors and eigenvalues.

Assignment

Hilbert Space, Tensor Product, and Multi-QubitHave an idea that Hilbert space is just an extension of the real space; understand that tensor product is a way to construct a higher-dimensional Hilbert space from lower ones; appreciate the power of quantum computing due to the tensor product of qubits; familiar with important tensor product operations.

場(chǎng)所

Tensor Product of Operators, Partial Measurement, and Matrix Representation in a Given BasisBe more skillful in tensor product operations; understand how to perform tensor product for matrices; understand the meaning of partial measurement and normalization after measurement; understand the meaning of the operator matrix elements in a given basis.