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. 2025 Jul 7;12(8):nwaf269. doi: 10.1093/nsr/nwaf269

Figure 5.

Figure 5.

Diagram of NNs for learning the parameters of time-independent Hamiltonians from the temporal records of single-qubit measurements. Starting from the initial state Inline graphic, the dynamical evolution Inline graphic is performed, during which the expectation values of single-qubit measurement operators Inline graphic (e.g. single-qubit Pauli operators Inline graphic with Inline graphic and Inline graphic) are measured at each time step. These expectation values over a period are then collected into a frequency vector Inline graphic, which is fed into an LSTM cell to predict parameters Inline graphic of the Hamiltonian.