Intense laser light,with its ability to trap small particles,is providing us unprecedented access to the microscopic world.Nevertheless,owing to its open nature,optical force is nonconservative and can only be describ...Intense laser light,with its ability to trap small particles,is providing us unprecedented access to the microscopic world.Nevertheless,owing to its open nature,optical force is nonconservative and can only be described by a non-Hermitian theory.This non-Hermiticity sets such system apart from conventional systems and has offered rich physics,such as the possession of the exceptional points.Consequently,analyzing and demonstrating the dynamics of large optically-bound clusters becomes an intricate challenge.Here,we developed a scalable quantum approach that allows us to predict the trajectories of optically trapped particles and tackle the associated non-Hermitian physics.This approach is based on the linear combination of unitary operations.With this,we experimentally revealed the non-Hermiticity and exceptional point for a single or multiple particles trapped by optical force fields,using a nuclear magnetic resonance quantum processor.Our method’s scalability and stability have offering a promising path for large-scale optical manipulation with non-Hermitian dynamics.展开更多
Structured light,where light is tailored in all its degrees of freedom,has shown tremendous power in unlocking new modalities of light,with its impact felt across dimensions,disciplines,and applications.This richly te...Structured light,where light is tailored in all its degrees of freedom,has shown tremendous power in unlocking new modalities of light,with its impact felt across dimensions,disciplines,and applications.This richly textured light comes with deeply embedded complexity,making the design,analysis,and recognition of such complex light patterns highly non-trivial.In recent years artificial intelligence(AI)has come to the fore,not only for the design,characterization,and optimization of structured light but also for increasingly important roles in adding new functionalities and breaking old paradigms.An exciting twist is the flip side of the coin,where complex light in complex media acts as a light-speed neural network,ushering in a new era of ultrafast optical-based“machines”for intelligence and learning.In this review,we focus on how AI has enhanced structured light technologies,and vice versa,touching on imaging,microscopy,sensing,communication,and optical neural networks as topical application areas,while covering scales from the macroscopic to the microscopic,and from classical to quantum.We highlight the symbiotic relationship between intelligence and light in these processes and offer a perspective on the open challenges and future prospects of this emerging research direction.展开更多
基金supported by the National Key Research and Development Program of China(2019YFA0308100)the National Natural Science Foundation of China(12074169,12104213,12204230)+5 种基金the Guangdong Provincial Key Laboratory(2019B121203002)the Pearl River Talent Recruitment Program(2019QN01X298)Beijing Nova Program under Grants(20230484345,20240484609)Guangdong Province Talent Recruitment Program(2021QN02C103)Research Grants Council of Hong Kong(AoE/P-502/20)the Guangdong Provincial Quantum Science Strategic Initiative(GDZX2303001,GDZX2200001).
文摘Intense laser light,with its ability to trap small particles,is providing us unprecedented access to the microscopic world.Nevertheless,owing to its open nature,optical force is nonconservative and can only be described by a non-Hermitian theory.This non-Hermiticity sets such system apart from conventional systems and has offered rich physics,such as the possession of the exceptional points.Consequently,analyzing and demonstrating the dynamics of large optically-bound clusters becomes an intricate challenge.Here,we developed a scalable quantum approach that allows us to predict the trajectories of optically trapped particles and tackle the associated non-Hermitian physics.This approach is based on the linear combination of unitary operations.With this,we experimentally revealed the non-Hermiticity and exceptional point for a single or multiple particles trapped by optical force fields,using a nuclear magnetic resonance quantum processor.Our method’s scalability and stability have offering a promising path for large-scale optical manipulation with non-Hermitian dynamics.
基金National Natural Science Foundation of China(62375015)National Natural Science Foundation of China(U23A20481,62275010)+7 种基金Open Fund of the State Key Laboratory of Precision Space–time Information Sensing Technology No.STL2023-B-03-01(J)Fundamental Research Funds for the Central Universities(2025CX11009)South African Quantum Technology Initiative(SAQuTI),OpticaNanyang Assistant Professorship Start Up Grant,Singapore Ministry of Education(MOE)AcRF Tier 1 grant(RG157/23)MoE AcRF Tier 1 Thematic grant(RT11/23)Imperial-Nanyang Technological University Collaboration Fund(INCF-2024-007)Nanyang Technological University SPMS Collaborative Research Award 2024Singapore Agency for Science,Technology and Research(A*STAR)MTC Individual Research Grants(M24N7c0080).
文摘Structured light,where light is tailored in all its degrees of freedom,has shown tremendous power in unlocking new modalities of light,with its impact felt across dimensions,disciplines,and applications.This richly textured light comes with deeply embedded complexity,making the design,analysis,and recognition of such complex light patterns highly non-trivial.In recent years artificial intelligence(AI)has come to the fore,not only for the design,characterization,and optimization of structured light but also for increasingly important roles in adding new functionalities and breaking old paradigms.An exciting twist is the flip side of the coin,where complex light in complex media acts as a light-speed neural network,ushering in a new era of ultrafast optical-based“machines”for intelligence and learning.In this review,we focus on how AI has enhanced structured light technologies,and vice versa,touching on imaging,microscopy,sensing,communication,and optical neural networks as topical application areas,while covering scales from the macroscopic to the microscopic,and from classical to quantum.We highlight the symbiotic relationship between intelligence and light in these processes and offer a perspective on the open challenges and future prospects of this emerging research direction.
