This article presents views on the future development of data science,with a particular focus on its importance to artificial intel-ligence(AI).After discussing the challenges of data science,it elu-cidates a possible...This article presents views on the future development of data science,with a particular focus on its importance to artificial intel-ligence(AI).After discussing the challenges of data science,it elu-cidates a possible approach to tackle these challenges by clarifying the logic and principles of data related to the multi-level complex-ity of the world.Finally,urgently required actions are briefly outlined.展开更多
Levitated dielectric particles in a vacuum have emerged as a new platform in quantum science,with applications ranging from precision acceleration and force sensing to testing quantum physics beyond the microscopic do...Levitated dielectric particles in a vacuum have emerged as a new platform in quantum science,with applications ranging from precision acceleration and force sensing to testing quantum physics beyond the microscopic domain.Traditionally,particle levitation relies on optical tweezers formed by tightly focused laser beams,which typically require multiple bulk optical elements aligned in free space,limiting robustness and scalability of the system.To address these challenges,we employ a single optical fiber equipped with a high-numericalaperture(NA)lens directly printed onto the fiber facet.This enables a compact yet robust optical levitation and detection system composed entirely of fiber-based components,eliminating the need for complex alignment.The high NA of the printed lens allows stable single-beam trapping of a dielectric nanoparticle in a vacuum,even while the fiber is in controlled motion.The high NA also allows for collecting scattered light from the particle with excellent collection efficiency,thus enabling efficient detection and feedback stabilization of the particle's motion.Our platform paves the way for practical and portable sensors based on levitated particles and provides simple yet elegant solutions to complex experiments requiring the integration of levitated particles.展开更多
文摘This article presents views on the future development of data science,with a particular focus on its importance to artificial intel-ligence(AI).After discussing the challenges of data science,it elu-cidates a possible approach to tackle these challenges by clarifying the logic and principles of data related to the multi-level complex-ity of the world.Finally,urgently required actions are briefly outlined.
基金Carl-Zeiss-Stiftung(Johannes-Kepler Grant through IQST,Endo Print3D,QPhoton Holo Q)Deutsche Forschungsgemeinschaft(523178467,431314977/GRK2642)Bundesministerium für Bildung und Forschung(QR.X,QR.N,Integrated 3D Print)。
文摘Levitated dielectric particles in a vacuum have emerged as a new platform in quantum science,with applications ranging from precision acceleration and force sensing to testing quantum physics beyond the microscopic domain.Traditionally,particle levitation relies on optical tweezers formed by tightly focused laser beams,which typically require multiple bulk optical elements aligned in free space,limiting robustness and scalability of the system.To address these challenges,we employ a single optical fiber equipped with a high-numericalaperture(NA)lens directly printed onto the fiber facet.This enables a compact yet robust optical levitation and detection system composed entirely of fiber-based components,eliminating the need for complex alignment.The high NA of the printed lens allows stable single-beam trapping of a dielectric nanoparticle in a vacuum,even while the fiber is in controlled motion.The high NA also allows for collecting scattered light from the particle with excellent collection efficiency,thus enabling efficient detection and feedback stabilization of the particle's motion.Our platform paves the way for practical and portable sensors based on levitated particles and provides simple yet elegant solutions to complex experiments requiring the integration of levitated particles.
