2 citations · 2 across the 5 of their papers we have counts for
5 papers
Quantum Preconditioning For Constrained Optimization Problems
Anurag Ramesh, Bhuvanesh Sundar, Maxime Dupont +1
We study the effect of quantum preconditioning on constrained combinatorial optimization problems, focusing on balanced graph bi-partitioning. The proposed approach uses two-point…
Setting angles in quantum approximate optimization at utility-scale
Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh +16
The quantum approximate optimization algorithm (QAOA) is a powerful heuristic that seeks to solve combinatorial optimization problems using quantum hardware and classical optimizat…
Multi-GPU Quantum Circuit Simulation and the Impact of Network Performance
W. Michael Brown, Anurag Ramesh, Thomas Lubinski +2
As is intrinsic to the fundamental goal of quantum computing, classical simulation of quantum algorithms is notoriously demanding in resource requirements. Nonetheless, simulation…
A Practical Framework for Assessing the Performance of Observable Estimation in Quantum Simulation
Siyuan Niu, Efekan Kökcü, Sonika Johri +5
Simulating dynamics of physical systems is a key application of quantum computing, with potential impact in fields such as condensed matter physics and quantum chemistry. However,…
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…