Out-of-control Hamiltonian Learning
Learning the Hamiltonian of a many-body system from its dynamics is a central task in quantum science, yet the algorithms with the strongest provable guarantees assume some level of quantum control--fast, arbitrary single-qubit gates interleaved with time evolution, and measurements in arbitrary bases--that is beyond the capabilities of near-term analog quantum simulators. Motivated by analog atom- and ion-based platforms, we study Hamiltonian learning under minimal access models. Uniform state preparation and measurements: We first consider the setting where in every experiment, one can rotate each qubit to the same state, perform short-time evolution, and measure every qubit in the same...
| Authors | Weiyuan Gong, Muzhou Ma, Sitan Chen et al. |
|---|---|
| Primary category | quant-ph |
| Published | 5 October 2026 |
| Last updated at source | 5 October 2026 |
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