Quantum computing: A taxonomy, systematic review and future directions
Quantum computing (QC) is an emerging paradigm with the potential to offer significant
computational advantage over conventional classical computing by exploiting quantum …
computational advantage over conventional classical computing by exploiting quantum …
Entanglement-based quantum information technology: a tutorial
Entanglement is a quintessential quantum mechanical phenomenon with no classical
equivalent. First discussed by Einstein, Podolsky, and Rosen and formally introduced by …
equivalent. First discussed by Einstein, Podolsky, and Rosen and formally introduced by …
[HTML][HTML] Smart quantum statistical imaging beyond the Abbe-Rayleigh criterion
The wave nature of light imposes limits on the resolution of optical imaging systems. For
over a century, the Abbe-Rayleigh criterion has been utilized to assess the spatial resolution …
over a century, the Abbe-Rayleigh criterion has been utilized to assess the spatial resolution …
Machine-learning recognition of light orbital-angular-momentum superpositions
BP da Silva, BAD Marques, RB Rodrigues… - Physical Review A, 2021 - APS
We develop a method to characterize arbitrary superpositions of light orbital angular
momentum (OAM) with high fidelity by using astigmatic transformation and machine-learning …
momentum (OAM) with high fidelity by using astigmatic transformation and machine-learning …
Regression of high-dimensional angular momentum states of light
The orbital angular momentum (OAM) of light is an infinite-dimensional degree of freedom of
light with several applications in both classical and quantum optics. However, to fully take …
light with several applications in both classical and quantum optics. However, to fully take …
Recognition of orbital-angular-momentum modes with different topological charges and their unknown superpositions via machine learning
LF Zhang, YY Lin, ZY She, ZH Huang, JZ Li, X Luo… - Physical Review A, 2021 - APS
Light beams carrying orbital-angular-momentum (OAM) play an important role in optical
manipulation and communication owing to their unbounded state space. However, it is still …
manipulation and communication owing to their unbounded state space. However, it is still …
High-dimensional encryption in optical fibers using spatial modes of light and machine learning
The ability to engineer the spatial wavefunction of photons has enabled a variety of quantum
protocols for communication, sensing, and information processing. These protocols exploit …
protocols for communication, sensing, and information processing. These protocols exploit …
Data-centric machine learning in quantum information science
We propose a series of data-centric heuristics for improving the performance of machine
learning systems when applied to problems in quantum information science. In particular …
learning systems when applied to problems in quantum information science. In particular …
[HTML][HTML] Video object detection from one single image through opto-electronic neural network
An opto-electronic neural network is designed for video object detection from a long-
exposure blurred image. This network combines an optical encoder, convolutional neural …
exposure blurred image. This network combines an optical encoder, convolutional neural …
[HTML][HTML] Coincidence imaging for Jones matrix with a deep-learning approach
Coincidence measurement has become an emerging technique for optical imaging. Based
on measuring the second-order coherence g 2, sample features such as …
on measuring the second-order coherence g 2, sample features such as …