Quantum-enhanced Regression Analysis Using State-of-the-art QLSAs and QIPMs. - Mohammadhossein Mohammadisiahroudi; Zeguan Wu; Brandon Augustino; Tamás Terlaky; Arielle Carr (SEC, 2022)

A quantum central path algorithm for linear optimization. - Brandon Augustino; Jiaqi Leng; Giacomo Nannicini; Tamás Terlaky; Xiaodi Wu 001 (CoRR, 2023)

An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization. - Zeguan Wu; Mohammadhossein Mohammadisiahroudi; Brandon Augustino; Xiu Yang; Tamás Terlaky (Entropy, 2023)

Quantum Interior Point Methods for Semidefinite Optimization. - Brandon Augustino; Giacomo Nannicini; Tamás Terlaky; Luis F. Zuluaga (Quantum, 2023)

Generalized Short Path Algorithms: Towards Super-Quadratic Speedup over Markov Chain Search for Combinatorial Optimization. - Shouvanik Chakrabarti; Dylan Herman; Guneykan Ozgul; Shuchen Zhu; Brandon Augustino; Tianyi Hao 006; Zichang He; Ruslan Shaydulin; Marco Pistoia (CoRR, 2024)

Generating linear, semidefinite, and second-order cone optimization problems for numerical experiments. - Mohammadhossein Mohammadisiahroudi; Ramin Fakhimi; Brandon Augustino; Tamás Terlaky (Optim. Methods Softw., 2024)

On Speedups for Convex Optimization via Quantum Dynamics. - Shouvanik Chakrabarti; Dylan Herman; Jacob Watkins; Enrico Fontana; Brandon Augustino; Junhyung Lyle Kim; Marco Pistoia (CoRR, 2025)