Solving tricky quantum optics problems with assistance from (artificial) intelligence
Manas Pandey, Bharath Hebbe Madhusudhana, Saikat Ghosh, Dmitry Budker
现代人工智能(AI)作为“科学合作者”的能力是通过在量子光学中涉及三个微妙的问题来探索的:光学泵送的状态人群,衰变状态之间的共振转换(Burshtein效应)和退化无反光镜拉力。 通过迭代对话,作者观察到人工智能模型 - 当提示和纠正时 - 可以通过复杂的场景进行推理,完善他们的答案,并提供专家级指导,类似于与一位熟练同事的互动。 研究结果强调,人工智能使获得复杂建模和分析的机会民主化,将科学实践的重点从技术掌握转移到想法的产生和测试,并将完成研究任务的时间从几天缩短到几分钟。
The capabilities of modern artificial intelligence (AI) as a "scientific collaborator" are explored by engaging it with three nuanced problems in quantum optics: state populations in optical pumping, resonant transitions between decaying states (the Burshtein effect), and degenerate mirrorless lasing. Through iterative dialogue, the authors observe that AI models–when prompted and corrected–can reason through complex scenarios, refine their answers, and provide expert-level guidance, closely res...