Automatic generation of Ising Hamiltonians for solving optimization problems in quantum computing

This invention describes a method for preparing complex optimization problems so they can be solved by quantum computers. It works by taking an optimization problem and converting it into a specific mathematical model called an Ising Hamiltonian, which quantum computers can understand. A crucial aspect of this method is that the conversion process *must* include a penalty term that automatically adjusts itself to handle any constraints within the original problem.