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quant-ph2026

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…

quant-ph2026

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…

quant-ph2026

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…

quant-ph2025

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…

quant-ph2025

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…

quant-ph2024

Integrating Quantum Computing Resources into Scientific HPC Ecosystems

Thomas Beck, Alessandro Baroni, Ryan Bennink +15

Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces cha…