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.
Pebbling Moutain Ranges and its Applica tion of DCFL-Recognition
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A survey highlighting known results on descriptional complexity of finite automata, noting non-recursive trade-offs and uncomputability of state complexity for certain combined regularity-preserving operations.
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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.