most citedProtein Folding with Neural Ordinary Differential Equations

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quant-ph2026

Data-Driven Hamiltonian Reduction for Superconducting Qubits via Meta-Learning

Arielle Sanford, Andrew T. Kamen, Frederic T. Chong +1

We introduce HAML (Hamiltonian Adaptation via Meta-Learning), a framework for fast online adaptation of effective Hamiltonian models of superconducting quantum processors. HAML pro…