G
Gregory A. Howland
Researcher at Rochester Institute of Technology
Publications - 70
Citations - 1575
Gregory A. Howland is an academic researcher from Rochester Institute of Technology. The author has contributed to research in topics: Quantum entanglement & Photonics. The author has an hindex of 21, co-authored 66 publications receiving 1377 citations. Previous affiliations of Gregory A. Howland include University of Rochester & Air Force Research Laboratory.
Papers
More filters
Journal ArticleDOI
Photon-counting compressive sensing laser radar for 3D imaging
TL;DR: A photon-counting, single-pixel, laser radar camera for 3D imaging where transverse spatial resolution is obtained through compressive sensing without scanning is experimentally demonstrated.
Journal ArticleDOI
Photon counting compressive depth mapping
TL;DR: A compressed sensing, photon counting lidar system based on the single-pixel camera that recovers both depth and intensity maps from a single under-sampled set of incoherent, linear projections of a scene of interest at ultra-low light levels around 0.5 picowatts.
Journal ArticleDOI
Weak-values technique for velocity measurements.
Gerardo I. Viza,Julián Martínez-Rincón,Gregory A. Howland,Hadas Frostig,Itay Shomroni,Barak Dayan,John C. Howell +6 more
TL;DR: This work demonstrates an interferometric scheme combined with a time-domain analysis to measure longitudinal velocities and shows the estimator to be efficient by reaching its Cramér-Rao bound.
Journal ArticleDOI
Photon counting compressive depth mapping.
TL;DR: In this article, a photon counting lidar system based on a single-pixel camera is proposed to recover both depth and intensity maps from a single under-sampled set of incoherent linear projections of a scene of interest at ultra-low light levels around 0.5 picowatts.
Journal ArticleDOI
Violation of Continuous-Variable Einstein-Podolsky-Rosen Steering with Discrete Measurements
TL;DR: In this paper, an entropic EPR steering inequality was derived for continuous-variable systems using only experimentally measured discrete probability distributions and details of the measurement apparatus, which can be used to reduce the technical requirements of experimental setups intended to demonstrate the EPR paradox.