Increasing the Hardness of Posiform Planting Using Random QUBOs for
Programmable Quantum Annealer Benchmarking
Increasing the Hardness of Posiform Planting Using Random QUBOs for
Programmable Quantum Annealer Benchmarking
Posiform planting is a method for constructing QUBO problems with a single unique planted solution that can be tailored to arbitrary connectivity graphs. In this study we investigate making posiform planted QUBOs computationally harder by fusing many smaller random discrete coefficient spin-glass Ising models, whose global minimum energy is computed …