Quantum annealing relies on the adiabatic theorem to undertake calculations. A system is placed in the ground state for a simple Hamiltonian, which slowly evolves to a more complicated Hamiltonian whose ground state represents the solution to the problem in question. The adiabatic theorem states that if the evolution is slow enough the system will stay in its ground state at all times through the process. Adiabatic optimization may be helpful for solving computational biology problems.
quantum annealing relies on the adiabatic theorem to undertake calculations a system is placed in the ground state for a simple hamiltonian which slowly evolves to a more complicated hamiltonian whose ground state represents the solution to the problem in question the adiabatic theorem states that if the evolution is slow enough the system will stay in its ground state at all times through the process adiabatic optimization may be helpful for solving computational biology problems