50 citations · 60 across the 6 of their papers we have counts for
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…
Scaling Hybrid Quantum-HPC Applications with the Quantum Framework
Srikar Chundury, Amir Shehata, Seongmin Kim +6
Hybrid quantum-high performance computing (Q-HPC) workflows are emerging as a key strategy for running quantum applications at scale in current noisy intermediate-scale quantum (NI…
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…
Solving the Hele-Shaw flow using the Harrow-Hassidim-Lloyd algorithm on superconducting devices: A study of efficiency and challenges
Muralikrishnan Gopalakrishnan Meena, Kalyana C. Gottiparthi, Justin G. Lietz +2
The development of quantum processors capable of handling practical fluid flow problems represents a distant yet promising frontier. Recent strides in quantum algorithms, particula…
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…
Experiences Readying Applications for Exascale
Paul T. Bauman, Reuben D. Budiardja, Dmytro Bykov +29
The advent of exascale computing invites an assessment of existing best practices for developing application readiness on the world's largest supercomputers. This work details obse…