Optimal Hamiltonian identification: The synthesis of quantum optimal control and quantum inversion

摘要: We introduce optimal identification (OI), a collaborative laboratory/computational algorithm for extracting quantum Hamiltonians from experimental data specifically sought to minimize the inversion error. OI incorporates components of control and by combining ultrafast pulse shaping technology high throughput experiments with global techniques actively identify tailored observations. The concept rests on general notion that can be measured under influence suitable controls uncertainty in extracted Hamiltonian despite limitations such as finite resolution noise. As an illustration operating principles OI, transition dipole moments multilevel are simulated population transfer experiments. revealed simple experiment determined matrix elements accuracy two orders magnitude better than ...