A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2026.260001 , discusses empowering next-generation photodetectors through materials and metasurfaces.
Light propagating in free space carries a wealth of physical information across multiple degrees of freedom, including not only intensity but also wavelength, polarization, and orbital angular momentum (OAM). Conventional photodetectors are primarily designed to convert simple optical intensity into electrical signals, fundamentally losing access to this high-dimensional optical information. However, precisely capturing and resolving these multidimensional characteristics is becoming increasingly critical for next-generation information technologies, such as autonomous driving, remote sensing imaging, medical diagnostics, quantum communication, and high-capacity optical networks.
To address this pressing need, the development of integrated multidimensional photodetectors has emerged as a paramount research frontier in modern optoelectronics. This research explicitly defines these advanced devices as chip-scale optoelectronic perception architectures capable of directly resolving high-dimensional optical information. This encompasses both highly compact single-pixel systems and comprehensive, multi-component integrated micro-systems. This evolution from traditional, bulky discrete optical components to miniaturized, integrated hardware overcomes the severe physical bottlenecks of conventional photodetection. By synergistically combining complex light-matter interaction mechanisms with underlying advanced chip manufacturing processes, these architectures lay a solid and indispensable foundation for achieving higher-dimensional, faster, and more intelligent light field perception in modern photonic systems.
This review systematically outlines the transformative research progress and future trajectories in the rapidly evolving field of multidimensional photodetection. The article constructs a highly synergistic "hardware-software" framework spanning from fundamental optoelectronic materials to system-level integration. First, the research team deeply explores how the intrinsic anisotropies and unique electronic band structures of low-dimensional materials—such as transition metal dichalcogenides, black phosphorus, and tellurium—provide the foundational physical mechanisms for extracting specific optical parameters. Through precise energy band alignment, unipolar barrier engineering, and moiré superlattice design, 2D materials can preliminarily achieve the joint detection of polarization and wavelength within a single compact device.
Furthermore, the article forward-lookingly discusses the ultimate developmental paradigm: integrating multidimensional detection mechanisms with the mature, CMOS-compatible silicon photonics platform. By directly embedding inverse-designed micro-nano optical elements, sophisticated multiplexing waveguide networks, and in-sensor computing architectures based on optical neural networks (ONNs) at the sensing front end, future multidimensional photodetectors will successfully eliminate the significant latency of traditional optical-to-electrical conversion and offline digital processing. This profound evolution from discrete sensory devices to system-level intelligent integration demonstrates the tremendous potential of chip-scale multidimensional light field perception in driving the future of artificial intelligence and advanced optical computing
Despite significant progress in multidimensional photodetection, realizing large-scale practical deployment still faces severe challenges. Primary bottlenecks include the wafer-scale synthesis and homogeneity of high-quality optoelectronic materials, the mitigation of Fermi-level pinning at interfaces, and the urgent need for high-bandwidth parallel readout integrated circuits to manage exponential data volumes. Looking ahead, by seamlessly combining active photonics with advanced deep learning algorithms, photodetectors will transform from simple signal converters into highly programmable, intelligent smart nodes, achieving comprehensive, real-time light field perception.
Keywords: multidimensional photodetection, 2D materials, metasurfaces, silicon photonics, light field manipulation, multidimensional light field
