Quantum circuits for block encoding of structured matrices in ocean acoustics

Block encoding is a data input model commonly used in a quantum computer. It is a technique that embeds a matrix A satisfying \|A\| ≤ 1 into a larger unitary matrix UA. We consider special structured matrices arising from generalized eigenvalue equations in ocean acoustics. We develop their block encoding scheme and further improve it which results lower subnormalisations. And we discuss how to construct quantum circuits of block encoding for the structured matrices. Two numerical examples are used to illustrate the feasibility of our block encoding schemes. The corresponding codes of the quantum circuits in |MATLAB| are also presented.