  We proposed the method that translates the 2-D CSP for minimizing the number
of cuts to the Ising model. After that, we conducted computer experiments of
the proposed model using the benchmark problem. From the above, the following
results are obtained. (1) The proposed Ising model adequately represents the
target problem. (2) Acceptance rates were low as 0.2% to 9.8% and from 21.8% to
49.4%. (3) Error rates from optimal solution were broad as 0% to 25.9%. As the
future work, (1) Improve the Hamiltonian for Constraints. (2) Improve the
proposed model to adjust more complex 2-D CSP and reduce the number of spins
when it deals with large materials and components. (3) Conduct experiments
using a quantum annealer.
