76 citations · 605 across the 40 of their papers we have counts for
41 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…
Self-consistent mean-field quantum approximate optimization
Maxime Dupont, Bhuvanesh Sundar, Meenambika Gowrishankar
We introduce a self-consistent mean-field quantum optimization algorithm that approximates the ground state of classical Ising Hamiltonians. The algorithm decomposes the problem in…
Many-Body Effects in Dark-State Laser Cooling
Muhammad Miskeen Khan, David Wellnitz, Bhuvanesh Sundar +6
We develop a unified many-body theory of two-photon dark-state laser cooling, the workhorse for preparing trapped ions close to their motional quantum ground state. For ions with a…
Simulating plasma wave propagation on a superconducting quantum chip
Bhuvanesh Sundar, Bram Evert, Vasily Geyko +3
Quantum computers may one day enable the efficient simulation of strongly coupled plasmas that lie beyond the reach of classical computation in regimes where quantum effects are im…
Optimization via Quantum Preconditioning
Maxime Dupont, Tina Oberoi, Bhuvanesh Sundar
State-of-the-art classical optimization solvers set a high bar for quantum computers to deliver utility in this domain. Here, we introduce a quantum preconditioning approach based…
A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization
Filip B. Maciejewski, Bao Gia Bach, Maxime Dupont +5
Quantum approximate optimization is one of the promising candidates for useful quantum computation, particularly in the context of finding approximate solutions to Quadratic Uncons…