My main goal is to learn Quantum annealing and quantum optimization in general. This concept is elaborated in this paper. A better example is this paper. I am particularly interested in reading material where the author describes in detail without skipping any step as to how one maps the cost function of your desired optimization problem into a Hamiltonian that can then be solved using a quantum computer.
Most papers that do this, such as the ones I just showed, either assume you already know how to do the mapping and skip the mathematical steps, or will assume you are more interested in the stuff from physics pov and hardware pov. I am interested in this problem only from the algorithmic pov. I want to read tutorial style papers written for engineers interested more in the combinatorial maths and equation manipulation stuff laid out in a detailed manner.
Could you please cite videos/books/papers? If there is prereq to learn mapping costs functions to Hamiltonians then please suggest the quickest possible route for the same?