5 citations · 5 across the 2 of their papers we have counts for
4 papers · 1 filter
Photonic implementation of quantum hidden subgroup database compression
Qianyi Wang, Feiyang Liu, Teng Hu +6
We experimentally demonstrate quantum data compression exploiting hidden subgroup symmetries using a photonic quantum processor. Classical databases containing generalized periodic…
Provable superior accuracy in machine learned quantum models
Chengran Yang, Andrew Garner, Feiyang Liu +5
In modelling complex processes, the potential past data that influence future expectations are immense. Models that track all this data are not only computationally wasteful but al…
Quantum advantage in training binary neural networks
Yidong Liao, Daniel Ebler, Feiyang Liu +1
The performance of a neural network for a given task is largely determined by the initial calibration of the network parameters. Yet, it has been shown that the calibration, also r…
Learning Simon's quantum algorithm
Kwok Ho Wan, Feiyang Liu, Oscar Dahlsten +1
We consider whether trainable quantum unitaries can be used to discover quantum speed-ups for classical problems. Using methods recently developed for training quantum neural nets,…