From the 1 of 8 linked papers with an AI index.
8 papers
Enabling Hybrid HPCQC Workflows with a Heterogeneous Software Stack
Muhammad Nufail Farooqi, Minh Chung, Burak Mete +5
In this work, we demonstrate hybrid High Performance Computing-Quantum Computing (HPCQC) workflows on a production petascale system. The demonstration combines three components: th…
MQSS Client: Interface for Decoupling Quantum Programming Interfaces
Ercüment Kaya, Muhammad Nufail Farooqi, Minh Chung +3
MQSS Client is a context‑aware access layer and library that abstracts resources, jobs, and results to decouple quantum programming interfaces from the underlying compilation and r…
Explainable quantum-compressed machine learning for complex fluid flows
Xiao Xue, Maida Wang, Mingyang Gao +2
Machine-learning surrogates of physical systems face a paradox: explainable models facing the challenge of expressivity to capture complex nonlinear flows, whereas expressive deep…
Practical Quantum Advantage before Fault Tolerance via Quantum-Informed Machine Learning
Maida Wang, Xiao Xue, Minh Chung +1
Early quantum devices can deliver a practical advantage before fault tolerance. The role we identify is a statistical module within a classical scientific workflow: a compressed me…
Evaluating System-Level Fidelity with Peaked Random Circuits
Martin Brieger, Florian Krötz, Minh Chung +1
Quantum computing is transitioning from experimental prototypes to commercially available turnkey systems, making architecture-agnostic performance metrics essential for cross-plat…
The Munich Quantum Software Stack: Connecting End Users, Integrating Diverse Quantum Technologies, Accelerating HPC
Lukas Burgholzer, Jorge Echavarria, Patrick Hopf +11
Quantum computing is advancing rapidly in hardware and algorithms, but broad accessibility demands a comprehensive, efficient, unified software stack. Such a stack must flexibly sp…