TY - GEN
T1 - Single Photon Compressive Sensing
AU - Li, Lili
AU - Kumar, Santosh
AU - Huang, Yuping
N1 - Publisher Copyright:
© Optica Publishing Group 2023, © 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - We experimentally demonstrate a compressive sensing method by utilizing single-pixel detection at a single-photon level and deep neural network. As a benchmark test, MNIST handwritten digits are classified with 98.8% accuracy.
AB - We experimentally demonstrate a compressive sensing method by utilizing single-pixel detection at a single-photon level and deep neural network. As a benchmark test, MNIST handwritten digits are classified with 98.8% accuracy.
UR - http://www.scopus.com/inward/record.url?scp=85191163893&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85191163893&partnerID=8YFLogxK
U2 - 10.1364/FIO.2023.FM1B.3
DO - 10.1364/FIO.2023.FM1B.3
M3 - Conference contribution
AN - SCOPUS:85191163893
T3 - Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
BT - Frontiers in Optics
T2 - Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Y2 - 9 October 2023 through 12 October 2023
ER -