103 citations · 131 across the 6 of their papers we have counts for
7 papers
A Real Time 1280x720 Object Detection Chip With 585MB/s Memory Traffic
Kuo-Wei Chang, Hsu-Tung Shih, Tian-Sheuan Chang +4
Memory bandwidth has become the real-time bottleneck of current deep learning accelerators (DLA), particularly for high definition (HD) object detection. Under resource constraints…
Direct parameter estimations from machine-learning enhanced quantum state tomography
Hsien-Yi Hsieh, Jingyu Ning, Yi-Ru Chen +4
With the capability to find the best fit to arbitrarily complicated data patterns, machine-learning (ML) enhanced quantum state tomography (QST) has demonstrated its advantages in…
Improving the stability of frequency dependent squeezing with bichromatic control of filter cavity length, alignment and incident beam pointing
Yuhang Zhao, Eleonora Capocasa, Marc Eisenmann +21
Frequency dependent squeezing is the main upgrade for achieving broadband quantum noise reduction in upcoming observation runs of gravitational wave detectors. The proper frequency…
Frequency-Dependent Squeezed Vacuum Source for Broadband Quantum Noise Reduction in Advanced Gravitational-Wave Detectors
Yuhang Zhao, Naoki Aritomi, Eleonora Capocasa +20
The astrophysical reach of current and future ground-based gravitational-wave detectors is mostly limited by quantum noise, induced by vacuum fluctuations entering the detector out…
Carrying an arbitrarily large amount of information using a single quantum particle
Li-Yi Hsu, Ching-Yi Lai, You-Chia Chang +2
Theoretically speaking, a photon can travel arbitrarily long before it enters into a detector, resulting a click. How much information can a photon carry? We study a bipartite asym…
Learning the Representations of Moist Convection with Convolutional Neural Networks
Shih-Wen Tsou, Chun-Yian Su, Chien-Ming Wu
The representations of atmospheric moist convection in general circulation models have been one of the most challenging tasks due to its complexity in physical processes, and the i…