Expanding variational quantum eigensolvers to larger systems by dividing the calculations between classical and quantum hardware

We present a hybrid classical/quantum algorithm for efficiently solving the eigenvalue problem of many-particle Hamiltonians on quantum computers with limited resources by splitting workload between classical and processors. This reduces needed number qubits at expense an increased evaluations. demonstrate method Hubbard model show how conservation z-component total spin allows spin-up spin-down configurations to be computed hardware, respectively. Other symmetries can exploited in similar manner.