output
20102026
most citedBenchmarking and scaling studies of a pseudospectral code Tarang for turbulence simulations

117 citations

31 papers

cs.HC2026

Context-Mediated Domain Adaptation in Multi-Agent Sensemaking Systems

Anton Wolter, Leon Haag, Vaishali Dhanoa +1

Domain experts possess tacit knowledge that they cannot easily articulate through explicit specifications. When experts modify AI-generated artifacts by correcting terminology, res…

quant-ph2026

First-Principles Optical Descriptors and Hybrid Classical-Quantum Classification of Er-Doped CaF

David Angel Alba Bonilla, Kerem Yurtseven, Krishan Sharma +4

We present a physics-informed classical-quantum machine learning framework for discriminating pristine CaF from Er-doped CaF using first-principles optical descriptors. Fin…

cs.MA2026

μACP: A Formal Calculus for Expressive, Resource-Constrained Agent Communication

Arnab Mallick, Indraveni Chebolu

Agent communication remains a foundational problem in multi-agent systems: protocols such as FIPA-ACL guarantee semantic richness but are intractable for constrained environments,…

cs.CR2025★ 1 cited

Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems

N Mangala, Murtaza Rangwala, S Aishwarya +5

Healthcare has become exceptionally sophisticated, as wearables and connected medical devices revolutionize remote patient monitoring, emergency response, medication management, di…

quant-ph2025★ 1 cited

Deutsch-Jozsa and Bernstein-Vazirani algorithm using single-particle discrete-time quantum walk

Ravi Sangwan, Vikas Ramaswamy, Henry Sukumar +1

The paper introduces an efficient implementation of the Deutsch-Jozsa and Bernstein-Vazirani algorithm using the single-particle discrete-time quantum walk. We also provide a detai…

quant-ph2025★ 4 cited

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute

Gilles Buchs, Thomas Beck, Ryan Bennink +19

Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic…