most citedHamiltonian Learning using Machine Learning Models Trained with Continuous Measurements

5 citations · 5 across the 1 of their papers we have counts for

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quant-ph2024★ 5 cited

Hamiltonian Learning using Machine Learning Models Trained with Continuous Measurements

Kris Tucker, Amit Kiran Rege, Conor Smith +2

We build upon recent work on using Machine Learning models to estimate Hamiltonian parameters using continuous weak measurement of qubits as input. We consider two settings for the…