18 citations · 55 across the 9 of their papers we have counts for
10 papers
Hybrid Integration of InGaN Lasers in a Foundry-Fabricated Visible-Light Photonics Platform
Xin Mu, Frank Weiss, Hongyao Chua +9
Visible-spectrum photonic integrated circuits (PICs) present compact and scalable solutions for emerging technologies including quantum computing, biosensing, and virtual/augmented…
Broadband Waveguide-Coupled Photodetectors in a Submicrometer-Wavelength Silicon Photonics Platform
Alperen Govdeli, Jared C. Mikkelsen, Engjell Bebeti +4
Advances in silicon (Si) photonics at submicrometer wavelengths are unlocking new opportunities to realize miniaturized, scalable optical systems for biophotonics, quantum informat…
Thermally Induced Refractive Index Trimming of Visible-Light Silicon Nitride Waveguides Using Suspended Heaters
Hong Chen, Tianyuan Xue, Zheng Yong +6
We demonstrate refractive index trimming of visible-light silicon nitride (SiN) waveguides using suspended heater structures. The thermal isolation of the suspended heaters enabled…
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…
Implantable Photonic Neural Probes with Out-of-Plane Focusing Grating Emitters
Tianyuan Xue, Andrei Stalmashonak, Fu-Der Chen +6
We have designed, fabricated, and characterized implantable silicon neural probes with nanophotonic grating emitters that focus the emitted light at a specified distance above the…
Room-temperature waveguide-coupled silicon single-photon avalanche diodes
Alperen Govdeli, John N. Straguzzi, Zheng Yong +6
Single photon detection is important for a wide range of low-light applications, including quantum information processing, spectroscopy, and light detection and ranging (LiDAR). A…
Rigorous noise reduction with quantum autoencoders
Wai-Keong Mok, Hui Zhang, Tobias Haug +6
Reducing noise in quantum systems is a major challenge towards the application of quantum technologies. Here, we propose and demonstrate a scheme to reduce noise using a quantum au…
Efficient option pricing with unary-based photonic computing chip and generative adversarial learning
Hui Zhang, Lingxiao Wan, Sergi Ramos-Calderer +9
In the modern financial industry system, the structure of products has become more and more complex, and the bottleneck constraint of classical computing power has already restrict…
Implantable Photonic Neural Probes with 3D-Printed Microfluidics and Applications to Uncaging
Xin Mu, Fu-Der Chen, Ka My Dang +10
Advances in chip-scale photonic-electronic integration are enabling a new generation of foundry-manufacturable implantable silicon neural probes incorporating nanophotonic waveguid…
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…