Nonreciprocal isolators enable unidirectional light propagation without back-reflection.Typical terahertz isolators require magnetic fields to break the time-reversal symmetry.Herein,we propose a nonmagnetic isolator ...Nonreciprocal isolators enable unidirectional light propagation without back-reflection.Typical terahertz isolators require magnetic fields to break the time-reversal symmetry.Herein,we propose a nonmagnetic isolator in the terahertz range based on nonreciprocal graphene plasmons operated in a reflection configuration.The bias voltage generates a drift current in graphene,which breaks the time-reversal symmetry and induces nonreciprocal reflection.The isolator device exhibited a high isolation exceeding 20 d B with an insertion loss of less than 3 d B.Moreover,the bandwidth wit isolation exceeding 20 d B can be broadened five times to 1.7 THz by tuning the carrier density.The indexes,including the isolation,insertion loss and bandwidth of the isolator,show a strong dependence on the drift velocity and mobility of graphene,as well as the air-gap thickness.Our study shows great potential in the burgeoning terahertz technology,where nonmagnetic and electrically tunable isolators are still lacking.展开更多
Holography is an essential technique of generating three-dimensional images.Recently,quantum holography with undetected photons(QHUP)has emerged as a groundbreaking method capable of capturing complex amplitude images...Holography is an essential technique of generating three-dimensional images.Recently,quantum holography with undetected photons(QHUP)has emerged as a groundbreaking method capable of capturing complex amplitude images.Despite its potential,the practical application of QHUP has been limited by susceptibility to phase disturbances,low interference visibility,and limited spatial resolution.Deep learning,recognized for its ability in processing complex data,holds significant promise in addressing these challenges.In this report,we present an ample advancement in QHUP achieved by harnessing the power of deep learning to extract images from single-shot holograms,resulting in vastly reduced noise and distortion,alongside a notable enhancement in spatial resolution.The proposed and demonstrated deep learning QHUP(DL-QHUP)methodology offers a transformative solution by delivering high-speed imaging,improved spatial resolution,and superior noise resilience,making it suitable for diverse applications across an array of research fields stretching from biomedical imaging to remote sensing.DL-QHUP signifies a crucial leap forward in the realm of holography,demonstrating its immense potential to revolutionize imaging capabilities and pave the way for advancements in various scientific disciplines.The integration of DL-QHUP promises to unlock new possibilities in imaging applications,transcending existing limitations and offering unparalleled performance in challenging environments.展开更多
基金Supported by the National Natural Science Foundation of China(Grant Nos.11934011 and 12274365)National Key R&D Program of China(Grant Nos.2022YFA1402400 and 2022YFA1400043)+1 种基金Zhejiang Provincial Natural Science Foundation of China(Grant No.LR24A040001)Open project of Key Laboratory of Artificial Structures and Quantum Control(Ministry of Education)of Shanghai Jiao Tong University。
文摘Nonreciprocal isolators enable unidirectional light propagation without back-reflection.Typical terahertz isolators require magnetic fields to break the time-reversal symmetry.Herein,we propose a nonmagnetic isolator in the terahertz range based on nonreciprocal graphene plasmons operated in a reflection configuration.The bias voltage generates a drift current in graphene,which breaks the time-reversal symmetry and induces nonreciprocal reflection.The isolator device exhibited a high isolation exceeding 20 d B with an insertion loss of less than 3 d B.Moreover,the bandwidth wit isolation exceeding 20 d B can be broadened five times to 1.7 THz by tuning the carrier density.The indexes,including the isolation,insertion loss and bandwidth of the isolator,show a strong dependence on the drift velocity and mobility of graphene,as well as the air-gap thickness.Our study shows great potential in the burgeoning terahertz technology,where nonmagnetic and electrically tunable isolators are still lacking.
基金The National Natural Science Foundation of China(Grant No.11934011,62075194,U21A6006)The National Key Research and Development Program of China(Grant No.2019YFA0308100,2023YFB2806000,2022YFA1204700)+2 种基金The Strategic Priority Research Program of Chinese Academy of Sciences(Grant No.XDB28000000)The Open Program of the State Key Laboratory of Advanced Optical Communication Systems and Networks at Shanghai Jiao Tong University(Grant No.2023GZKF024)The Fundamental Research Funds for the Central Universities.The Information Technology Center and State Key Lab of CAD&CG.
文摘Holography is an essential technique of generating three-dimensional images.Recently,quantum holography with undetected photons(QHUP)has emerged as a groundbreaking method capable of capturing complex amplitude images.Despite its potential,the practical application of QHUP has been limited by susceptibility to phase disturbances,low interference visibility,and limited spatial resolution.Deep learning,recognized for its ability in processing complex data,holds significant promise in addressing these challenges.In this report,we present an ample advancement in QHUP achieved by harnessing the power of deep learning to extract images from single-shot holograms,resulting in vastly reduced noise and distortion,alongside a notable enhancement in spatial resolution.The proposed and demonstrated deep learning QHUP(DL-QHUP)methodology offers a transformative solution by delivering high-speed imaging,improved spatial resolution,and superior noise resilience,making it suitable for diverse applications across an array of research fields stretching from biomedical imaging to remote sensing.DL-QHUP signifies a crucial leap forward in the realm of holography,demonstrating its immense potential to revolutionize imaging capabilities and pave the way for advancements in various scientific disciplines.The integration of DL-QHUP promises to unlock new possibilities in imaging applications,transcending existing limitations and offering unparalleled performance in challenging environments.
