arXiv CS
open access
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 bas
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Out-of-control Hamiltonian Learning#1215797
- Reinforcement Learning to Harness Approximation Errors for Long-Time Quantum Simulation#662493
- Reinforcement Learning to Harness Approximation Errors for Long-Time Quantum Simulation#661443
- Probing the Weak-Driving Quantum Speed Limit via Drift-Aware Shooting Methods#1049881
- Learning Many-Body Hamiltonians Using a Local Probe#1157505
Record · ID 1194437
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive