Data-Driven Hamiltonian Reduction for Superconducting Qubits via Meta-Learning
arXiv:2604.24912v1 Announce Type: cross
Abstract: We introduce HAML (Hamiltonian Adaptation via Meta-Learning), a framework for fast online adaptation of effective Hamiltonian models of superconducting quantum processors. HAML proceeds in two phases. …