Squeezed states belong to the most prominent non-classical resources.They have compelling applications in precise measurement, quantum computation, and detection.Here, we report on the direct measurement of 13.8 d B s...Squeezed states belong to the most prominent non-classical resources.They have compelling applications in precise measurement, quantum computation, and detection.Here, we report on the direct measurement of 13.8 d B squeezed vacuum states by improving the interference efficiency and gain of balanced homodyne detection.By employing an auxiliary laser beam, the homodyne visibility is increased to 99.8%.The equivalent loss of the electronic noise is reduced to 0.05% by integrating a junction field-effect transistor(JFET) buffering input and another JFET bootstrap structure in the balanced homodyne detector.展开更多
We propose an optical tensor core(OTC) architecture for neural network training. The key computational components of the OTC are the arrayed optical dot-product units(DPUs). The homodyne-detection-based DPUs can condu...We propose an optical tensor core(OTC) architecture for neural network training. The key computational components of the OTC are the arrayed optical dot-product units(DPUs). The homodyne-detection-based DPUs can conduct the essential computational work of neural network training, i.e., matrix-matrix multiplication. Dual-layer waveguide topology is adopted to feed data into these DPUs with ultra-low insertion loss and cross talk. Therefore, the OTC architecture allows a large-scale dot-product array and can be integrated into a photonic chip. The feasibility of the OTC and its effectiveness on neural network training are verified with numerical simulations.展开更多
基金supported by the National Natural Science Foundation of China(NSFC)(Nos.11654002,61575114,11874250,and 11804207)National Key Research and Development Program of China(No.2016YFA0301401)+2 种基金Program for Sanjin Scholar of Shanxi ProvinceProgram for Outstanding Innovative Teams of Higher Learning Institutions of ShanxiFund for Shanxi “1331 Project”Key Subjects Construction
文摘Squeezed states belong to the most prominent non-classical resources.They have compelling applications in precise measurement, quantum computation, and detection.Here, we report on the direct measurement of 13.8 d B squeezed vacuum states by improving the interference efficiency and gain of balanced homodyne detection.By employing an auxiliary laser beam, the homodyne visibility is increased to 99.8%.The equivalent loss of the electronic noise is reduced to 0.05% by integrating a junction field-effect transistor(JFET) buffering input and another JFET bootstrap structure in the balanced homodyne detector.
基金supported by the National Key R&D Program of China (No.2019YFB2203700)the National Natural Science Foundation of China (No.61822508)。
文摘We propose an optical tensor core(OTC) architecture for neural network training. The key computational components of the OTC are the arrayed optical dot-product units(DPUs). The homodyne-detection-based DPUs can conduct the essential computational work of neural network training, i.e., matrix-matrix multiplication. Dual-layer waveguide topology is adopted to feed data into these DPUs with ultra-low insertion loss and cross talk. Therefore, the OTC architecture allows a large-scale dot-product array and can be integrated into a photonic chip. The feasibility of the OTC and its effectiveness on neural network training are verified with numerical simulations.
