64 citations · 72 across the 4 of their papers we have counts for
5 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…
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…
Unfolded Algorithms for Deep Phase Retrieval
Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian
Exploring the idea of phase retrieval has been intriguing researchers for decades, due to its appearance in a wide range of applications. The task of a phase retrieval algorithm is…
UPR: A Model-Driven Architecture for Deep Phase Retrieval
Naveed Naimipour, Shahin Khobahi, Mojtaba Soltanalian
The problem of phase retrieval has been intriguing researchers for decades due to its appearance in a wide range of applications. The task of a phase retrieval algorithm is typical…
Deep Signal Recovery with One-Bit Quantization
Shahin Khobahi, Naveed Naimipour, Mojtaba Soltanalian +1
Machine learning, and more specifically deep learning, have shown remarkable performance in sensing, communications, and inference. In this paper, we consider the application of th…