Currently, I’m studying quantum annealing in which the system evolves according to the Hamiltonian:
$$ H(t) = H_F + \Gamma(t) H_D,\tag{1} $$
where $H_F$ is a final (classical) Hamiltonian, $H_D$ is a transverse field Hamiltonian and $\Gamma$ is a transverse field coefficient.
My question is about how to imagine what it is like when the transverse field term is not included. Then, we are back to the system evolving according to the classical Hamiltonian alone: $H(t) = H_F.$
For this Hamiltonian how is the potential energy landscape defined? In the case of simulated annealing, in order to define the cost landscape we first need two elements which are (1) the neighborhood rule used to determine neighbors of the states (2) the objective function. Although for (2) we have the energy of eigenstates, what is the rule for determining the connection between eigenstates of the Hamiltonian?