2 citations · 2 across the 3 of their papers we have counts for
3 papers
Quantum Compressive Sensing Meets Quantum Noise: A Practical Exploration
Naveed Naimipour, Collin Frink, Harry Shaw +2
Compressive sensing is a signal processing technique that enables the reconstruction of sparse signals from a limited number of measurements, leveraging the signal's inherent spars…
Deep learning for enhanced free-space optical communications
Manon P. Bart, Nicholas J. Savino, Paras Regmi +8
Atmospheric effects, such as turbulence and background thermal noise, inhibit the propagation of coherent light used in ON-OFF keying free-space optical communication. Here we pres…
Quantum Compressive Sensing: Mathematical Machinery, Quantum Algorithms, and Quantum Circuitry
Kyle Sherbert, Naveed Naimipour, Haleh Safavi +2
Compressive sensing is a sensing protocol that facilitates reconstruction of large signals from relatively few measurements by exploiting known structures of signals of interest, t…