6 papers
Memory-, Circuit-, and Ansatz-Efficient VQLS for CFD on Hybrid Quantum-HPC Systems
Chao Lu, Muralikrishnan Gopalakrishnan Meena, Eduardo Antonio Coello Perez +2
Fluid dynamics workloads are dominated by repeated solves of large, structured linear systems, motivating the search for quantum acceleration. The Variational Quantum Linear Solver…
Exploring the use of quantum computing for facilitating spatially and temporally resolved models of a biological cell
Muralikrishnan Gopalakrishnan Meena, Dileep Kishore, Jerry M. Parks +5
The paper evaluates how quantum computing could enable multiscale whole‑cell simulations by analyzing potential speedups for atomistic, network, and spatial models and outlining al…
Quantum solver for single-impurity Anderson models with particle-hole symmetry
Mariia Karabin, Tanvir Sohail, Dmytro Bykov +8
Quantum embedding methods, such as dynamical mean-field theory (DMFT), provide a powerful framework for investigating strongly correlated materials. A central computational bottlen…
LuGo: an Enhanced Quantum Phase Estimation Implementation
Chao Lu, Muralikrishnan Gopalakrishanan Meena, Kalyana Chakravarthi Gottiparthi
Quantum Phase Estimation (QPE) is a cardinal algorithm in quantum computing that plays a crucial role in various applications, including cryptography, molecular simulation, and sol…
Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit
Junqi Yin, Mijanur Palash, M. Paul Laiu +6
Turbulence plays a crucial role in multiphysics applications, including aerodynamics, fusion, and combustion. Accurately capturing turbulence's multiscale characteristics is essent…
Bridging Paradigms: Designing for HPC-Quantum Convergence
Amir Shehata, Peter Groszkowski, Thomas Naughton +5
This paper presents a comprehensive software stack architecture for integrating quantum computing (QC) capabilities with High-Performance Computing (HPC) environments. While quantu…