activity
20102026
most citedPhoton counting compressive depth mapping

183 citations · 684 across the 16 of their papers we have counts for

collaborators

16 papers

physics.optics2026

Detecting clear-air turbulence via beam broadening in a Rayleigh-scattering lidar system

Christopher Miller, Daniel Lum, Brandon Rodenburg +4

The volume of clear-air turbulence (CAT) in the atmosphere at flight cruising altitudes is increasing rapidly, posing a growing problem for civil aviation and resulting in reduced…

quant-ph2022★ 1 cited

Bayesian Quantum State Tomography with Python's PyMC

Daniel J. Lum, Yaakov Weinstein

Quantum state tomography (QST) is typically performed from a frequentist viewpoint using maximum likelihood estimation (MLE) which seeks to find the best plausible state consistent…

quant-ph2021★ 21 cited

Witnessing the survival of time-energy entanglement through biological tissue and scattering media

Daniel J. Lum, Michael D. Mazurek, Alexander Mikhaylov +7

We demonstrate the preservation of time-energy entanglement of near-IR photons through thick biological media (1.55 mm) and tissue ( 235 m) at room temperature. Usin…

quant-ph2020★ 109 cited

Setting bounds on two-photon absorption cross-sections in common fluorophores with entangled photon pair excitation

Kristen M. Parzuchowski, Alexander Mikhaylov, Michael D. Mazurek +6

Excitation with entangled photon pairs may lead to an increase in the efficiency of two-photon absorption at low photon flux. The corresponding process, entangled two-photon absorp…

physics.optics2020★ 124 cited

Compressively sampling the optical transmission matrix of a multimode fibre

Shuhui Li, Charles Saunders, Daniel J. Lum +4

Measurement of the optical transmission matrix (TM) of an opaque material is an advanced form of space-variant aberration correction. Beyond imaging, TM-based methods are emerging…

quant-ph2018

Characterizing High-Dimensional Optical Systems with Applications in Compressive Sensing and Quantum Data Locking

Daniel J. Lum

This University of Rochester Physics Ph.D. dissertation introduces concepts in compressive sensing, quantum entanglement, FMCW LiDAR, and quantum data locking. Additionally, the ap…