A sparse time-dependent many-body Hamiltonian can be reconstructed from averaged continuous weak measurement records via local inverse problems and separable product-state probes, with sample-complexity bounds.
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Rigorous Time-dependent Hamiltonian Learning via Continuous Weak Measurements
A sparse time-dependent many-body Hamiltonian can be reconstructed from averaged continuous weak measurement records via local inverse problems and separable product-state probes, with sample-complexity bounds.