85 citations · 85 across the 10 of their papers we have counts for
10 papers
Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning
Yanjun Ji, Dennis Willsch, Orkun Şensebat +8
Recursive state estimation often executes approximate numerical solutions inside a feedback loop, where highly accurate local steps do not guarantee better overall results. For a f…
Separating Geometry From Interference in Constrained Quantum Optimization
Chinonso Onah, Stuart Hadfield, Kristel Michielsen
We study the separation of geometric effects from quantum interference in quantum optimization algorithms. Constrained optimization problems such as routing, assignment, and schedu…
Polynomial Time Quantum Approximation Schemes for Constrained Optimisation
Chinonso Onah, Kristel Michielsen
When does a noisy quantum sampler yield an end-to-end polynomial-time optimization algorithm with performance guarantees? Building on finite-depth and finite-shot guarantees for Co…
Resonant false vacuum decay in two dimensions on a 4000-qubit quantum annealer
Gregor Humar, Jean-Yves Desaules, Luka Pavešić +4
From cosmology to quantum matter, metastable states often decay through the nucleation and growth of competing domains, with false vacuum decay providing the paradigmatic example o…
Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
Rui Wang, Edoardo Pasetto, Amer Delilbasic +3
Statistical downscaling is a crucial component of the weather modeling field, where high-resolution outputs must be reconstructed from coarse-resolution inputs with the full cost o…
Optimal, Qubit-Efficient Quantum Vehicle Routing via Colored-Permutations
Chinonso Onah, Kristel Michielsen
We formulate a global-position colored-permutation encoding for the capacitated vehicle routing problem. Each of the vehicles selects a disjoint partial permutation, and the su…
Large-Scale Quantum Circuit Simulation on an Exascale System for QPU Benchmarking
J. A. Montanez-Barrera, Kristel Michielsen
Recent advances in quantum computing have enabled the development of quantum processors with hundreds of qubits. However, noise continues to limit the amount of useful information…
Quantum annealing inspired algorithms for the NISQ Era
Rijul Sachdeva, Vrinda Mehta, Manpreet Singh Jattana +2
We study algorithms inspired by quantum annealing that are suited for the NISQ era. First, we analyze approximate quantum annealing (AQA), which employs a discretized annealing ans…
Quantum and classical approaches to the optimization of highway platooning: the two-vehicle matching problem
Chinonso Onah, Agneev Guin, Carsten Othmer +2
Aerodynamic drag reduction on highways through vehicle platooning is a well-known concept, but it has not yet seen systematic uptake, arguably because of significant technological…
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…