Adaptive variational ground state preparation for spin-1 models on qubit-based architectures
Adaptive variational ground state preparation for spin-1 models on qubit-based architectures
We apply the adaptive variational quantum imaginary time evolution (AVQITE) method to prepare ground states of one-dimensional spin $S=1$ models. We compare different spin-to-qubit encodings (standard binary, Gray, unary, and multiplet) with regard to the performance and quantum resource cost of the algorithm. Using state-vector simulations, we study two well-known …