output
20162026
most citedQuantum machine learning in feature Hilbert spaces

1.8k citations

Showing 2017Show all

5 papers · 1 filter

quant-ph2017★ 145 cited

Quantum machine learning for quantum anomaly detection

Nana Liu, Patrick Rebentrost

Anomaly detection is used for identifying data that deviate from `normal' data patterns. Its usage on classical data finds diverse applications in many important areas like fraud d…

quant-ph2017★ 59 cited

Continuous-variable quantum key distribution in fast fading channels

Panagiotis Papanastasiou, Christian Weedbrook, Stefano Pirandola

We investigate the performance of several continuous-variable quantum key distribution protocols in the presence of fading channels. These are lossy channels whose transmissivity c…

quant-ph2017★ 198 cited

Continuous-variable QKD over 50km commercial fiber

Yi-Chen Zhang, Zhengyu Li, Ziyang Chen +18

The continuous-variable version of quantum key distribution (QKD) offers the advantages (over discrete-variable systems) of higher secret key rates in metropolitan areas as well as…

quant-ph2017★ 27 cited

Continuous-variable quantum Gaussian process regression and quantum singular value decomposition of non-sparse low rank matrices

Siddhartha Das, George Siopsis, Christian Weedbrook

With the significant advancement in quantum computation in the past couple of decades, the exploration of machine-learning subroutines using quantum strategies has become increasin…

hep-th2017★ 4 cited

A novel approach to perturbative calculations for a large class of interacting boson theories

Kamil Bradler

We present a method of calculating the interacting S-matrix to an arbitrary perturbative order for a large class of boson interaction Lagrangians. The method takes advantage of a p…