Quantum computing: A taxonomy, systematic review and future directions

SS Gill, A Kumar, H Singh, M Singh… - Software: Practice …, 2022 - Wiley Online Library
Quantum computing (QC) is an emerging paradigm with the potential to offer significant
computational advantage over conventional classical computing by exploiting quantum …

Entanglement-based quantum information technology: a tutorial

Z Zhang, C You, OS Magaña-Loaiza… - Advances in Optics …, 2024 - opg.optica.org
Entanglement is a quintessential quantum mechanical phenomenon with no classical
equivalent. First discussed by Einstein, Podolsky, and Rosen and formally introduced by …

[HTML][HTML] Smart quantum statistical imaging beyond the Abbe-Rayleigh criterion

N Bhusal, M Hong, A Miller, MA Quiroz-Juárez… - npj Quantum …, 2022 - nature.com
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 …

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 …

Regression of high-dimensional angular momentum states of light

D Zia, R Checchinato, A Suprano, T Giordani… - Physical Review …, 2023 - APS
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 …

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 …

High-dimensional encryption in optical fibers using spatial modes of light and machine learning

MLJ Lollie, F Mostafavi, N Bhusal… - Machine Learning …, 2022 - iopscience.iop.org
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 …

Data-centric machine learning in quantum information science

S Lohani, JM Lukens, RT Glasser… - Machine Learning …, 2022 - iopscience.iop.org
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 …

[HTML][HTML] Video object detection from one single image through opto-electronic neural network

C Hu, H Huang, M Chen, S Yang, H Chen - APL Photonics, 2021 - pubs.aip.org
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 …

[HTML][HTML] Coincidence imaging for Jones matrix with a deep-learning approach

J Xi, TK Yung, H Liang, T Li, WY Tam, J Li - npj Nanophotonics, 2024 - nature.com
Coincidence measurement has become an emerging technique for optical imaging. Based
on measuring the second-order coherence g 2, sample features such as …