activity
20072026
most citedGlobal Optimality in Low-rank Matrix Optimization

128 citations · 738 across the 58 of their papers we have counts for

collaborators

66 papers

eess.SP2026

Tensor-Based Joint Pitch and DOA Estimation

Yifan Wu, Michael B. Wakin

We propose a tensor-based subspace method for the joint estimation of pitch and direction of arrival (DOA) of multiple harmonic sources. Unlike conventional matrix-based approaches…

eess.SY2026

Bounds on Prediction Error When Using an Impulse Response/Equilibrium Model Structure

Tyrone L. Vincent, Michael B. Wakin

An impulse response/equilibrium model (IREM) structure combines a linear convolution model with a nonlinear function that sets the current operating point via an equilibrium variab…

quant-ph2026

Statistical and Algorithmic Foundations of Probing Quantum Systems with Compressive Measurements: A Review

Zhen Qin, Michael B. Wakin, Zhihui Zhu

Quantum state tomography (QST) is a fundamental task in quantum information science that aims to reconstruct unknown quantum states from measurement data. However, the exponential…

quant-ph2026

An Exponential Advantage for Adaptive Tomography of Structured States under Pauli Basis Measurements

Alireza Goldar, Zhen Qin, Zhihui Zhu +2

Broad claims about whether adaptivity helps in quantum state tomography can be misleading unless the state family, measurement architecture, and error metric are specified carefull…

cs.LG2025

A Scalable Factorization Approach for High-Order Structured Tensor Recovery

Zhen Qin, Michael B. Wakin, Zhihui Zhu

Tensor decompositions, which represent an -order tensor using approximately factors of much smaller dimensions, can significantly reduce the number of parameters. This is pa…

quant-ph2024

Optimal Allocation of Pauli Measurements for Low-rank Quantum State Tomography

Zhen Qin, Casey Jameson, Zhexuan Gong +2

The process of reconstructing quantum states from experimental measurements, accomplished through quantum state tomography (QST), plays a crucial role in verifying and benchmarking…