188 citations · 276 across the 9 of their papers we have counts for
10 papers
High-capacity computing with self-rectification nonlinear optical neural processor
Ruicheng Ma, Siyu Dong, Yuzhi Shi +14
Artificial intelligence (AI) and neural networks have driven groundbreaking innovations across numerous disciplines. Optical computing offers the promise of unprecedented speed and…
Integrated Photonic Quantum Computing: From Silicon to Lithium Niobate
Hui Zhang, Yiming Ma, Yuancheng Zhan +6
Quantum technologies have surpassed classical systems by leveraging the unique properties of superposition and entanglement in photons and matter. Recent advancements in integrated…
Brownian spin-locking effect
Xiao Zhang, Peiyang Chen, Mei Li +4
Brownian systems are characterized by spatiotemporal disorder, which arises from the erratic motion of particles driven by thermal fluctuations. When light interacts with such syst…
Variational learning of integrated quantum photonic circuits
Hui Zhang, Chengran Yang, Wai-Keong Mok +11
Integrated photonic circuits play a crucial role in implementing quantum information processing in the noisy intermediate-scale quantum (NISQ) era. Variational learning is a promis…
Observation of robust intrinsic C points generation with magneto-optical bound states in the continuum
Wenjing Lv, Haoye Qin, Zengping Su +6
C points, characterized by circular polarization in momentum space, play crucial roles in chiral wave manipulations. However, conventional approaches of achieving intrinsic C point…
Superfast and sub-wavelength orbital rotation of plasmonic particles in focused Gaussian beams
Lei-Ming Zhou, Xiaoyu Zhu, Yu Zheng +6
The use of nanophotonics for optical manipulation has continuously attracted interest in both fundamental research and practical applications, due to its significantly enhanced cap…
Optical manipulation with metamaterial structures
Yuzhi Shi, Qinghua Song, Ivan Toftul +6
Optical tweezers employing forces produced by light underpin important manipulation tools in many areas of applied and biological physics. Conventional optical tweezers are based o…
A photonic chip-based machine learning approach for the prediction of molecular properties
Hui Zhang, Jonathan Wei Zhong Lau, Lingxiao Wan +7
Machine learning methods have revolutionized the discovery process of new molecules and materials. However, the intensive training process of neural networks for molecules with eve…
Dynamic wavefront transformer based on a two-degree-of-freedom control system for 6-kHz mechanically actuated beam steering
Wenjun Deng, Weiming Zhu, Yuzhi Shi +4
Vast tunable optical components are realized based on dynamic reconfigurations of the incident wavefronts, such as beam steering and tunable lens. However, the dominant paradigm of…
Optical Forces in Coupled Chiral Particles
Kah Jen Wo, Jie Peng, Madhava Krishna Prasad +3
Structural chirality can induce counter-intuitive optical forces due to inherent symmetry properties. While optical forces on a single chiral particle in the Rayleigh regime have b…