VF-QCTRL combines LLMs with physics-informed symbolic reasoning and optimization to produce analytic control protocols that match or exceed conventional solvers across a new 16-task benchmark spanning single/multi-qubit, closed/open, and noisy systems.
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quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Proves null control is a fifth-order trap for specific four-level quantum systems and reports diverse optimization efficiencies via GRAPE and GPM depending on Hamiltonian structure.
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Toward General Quantum Control with Physics-Informed Large Language Models
VF-QCTRL combines LLMs with physics-informed symbolic reasoning and optimization to produce analytic control protocols that match or exceed conventional solvers across a new 16-task benchmark spanning single/multi-qubit, closed/open, and noisy systems.
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Diverse efficiency of observable optimization for four-level quantum systems with higher-order traps
Proves null control is a fifth-order trap for specific four-level quantum systems and reports diverse optimization efficiencies via GRAPE and GPM depending on Hamiltonian structure.