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cond-mat.quant-gas2025
Efficient Preparation of Fermionic Superfluids in an Optical Dipole Trap through Reinforcement Learning
Yueyang Min, Ziliang Li, Yi Zhong +4
We demonstrate a reinforcement learning (RL) based control framework for optimizing evaporative cooling in the preparation of strongly interacting degenerate Fermi gases of Li6. Us…
cond-mat.quant-gas2021★ 1 cited
Quantum Adiabatic Doping for Atomic Fermi-Hubbard Quantum Simulations
Jue Nan, Jian Lin, Yuchen Luo +2
There have been considerable research efforts devoted to quantum simulations of Fermi-Hubbard model with ultracold atoms loaded in optical lattices. In such experiments, the antife…
cond-mat.quant-gas2019★ 6 cited
Quantum Adiabatic Doping with Incommensurate Optical Lattices
Jian Lin, Jue Nan, Yuchen Luo +2
Quantum simulations of Fermi-Hubbard models have been attracting considerable efforts in the optical lattice research, with the ultracold anti-ferromagnetic atomic phase reached at…