activity
20072025
most citedImproving Variational Quantum Optimization using CVaR

233 citations · 872 across the 23 of their papers we have counts for

collaborators

24 papers

quant-ph2025★ 2 cited

Quantum Optimization Benchmarking Library - The Intractable Decathlon

Thorsten Koch, David E. Bernal Neira, Ying Chen +24

Through recent progress in hardware development, quantum computers have advanced to the point where benchmarking of (heuristic) quantum algorithms at scale is within reach. Particu…

quant-ph2023★ 181 cited

Challenges and Opportunities in Quantum Optimization

Amira Abbas, Andris Ambainis, Brandon Augustino +43

Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…

quant-ph2023★ 1 cited

A quantum central path algorithm for linear optimization

Brandon Augustino, Jiaqi Leng, Giacomo Nannicini +2

We propose a novel quantum algorithm for solving linear optimization problems by quantum-mechanical simulation of the central path. While interior point methods follow the central…

quant-ph2023★ 2 cited

Solving the semidefinite relaxation of QUBOs in matrix multiplication time, and faster with a quantum computer

Brandon Augustino, Giacomo Nannicini, Tamás Terlaky +1

Recent works on quantum algorithms for solving semidefinite optimization (SDO) problems have leveraged a quantum-mechanical interpretation of positive semidefinite matrices to deve…

quant-ph2022★ 6 cited

Quantum tomography using state-preparation unitaries

Joran van Apeldoorn, Arjan Cornelissen, András Gilyén +1

We describe algorithms to obtain an approximate classical description of a -dimensional quantum state when given access to a unitary (and its inverse) that prepares it. For pure…

quant-ph2021★ 24 cited

Quantum Interior Point Methods for Semidefinite Optimization

Brandon Augustino, Giacomo Nannicini, Tamás Terlaky +1

We present two quantum interior point methods for semidefinite optimization problems, building on recent advances in quantum linear system algorithms. The first scheme, more simila…