50 citations · 147 across the 10 of their papers we have counts for
11 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
Whole-cell simulation, modeling all of a cell's functional systems over its life cycle, is an outstanding challenge in computational biology. Even the simplest living cell contains…
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…
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…
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…
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…
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…
Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations
Aditya Kashi, Arka Daw, Muralikrishnan Gopalakrishnan Meena +1
Neural operators such as the Fourier Neural Operator (FNO) have been shown to provide resolution-independent deep learning models that can learn mappings between function spaces. F…
Network broadcast analysis and control of turbulent flows
Chi-An Yeh, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira
We present a network-based modal analysis technique that identifies key dynamical paths along which perturbations amplify over a time-varying base flow. This analysis is built upon…
Randomized methods to characterize large-scale vortical flow network
Zhe Bai, N. Benjamin Erichson, Muralikrishnan Gopalakrishnan Meena +2
We demonstrate the effective use of randomized methods for linear algebra to perform network-based analysis of complex vortical flows. Network theoretic approaches can reveal the c…
Airfoil wake modification with Gurney flap at Low-Reynolds number
Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira, Keisuke Asai
The complex wake modifications produced by a Gurney flap on symmetric NACA airfoils at low Reynolds number are investigated. Two-dimensional incompressible flows over NACA 0000 (fl…