Project Overview Network operation teams often face thousands of cryptic traps and syslogs per day. This Watsonx.ai-based solution will use LLMs enhanced with Retrieval-Augmented Generation (RAG) to translate raw logs into plain English, classify th

Build Newer architectures, benchmarks, and leaderboards in the area of Time-Series Foundation Models. Publish the work in top-tier conferences.

The two primary requirements in the zero noise extrapolation (ZNE) protocol are the noise factors and the extrapolator. However, the same noise factors does not provide similar accuracy for circuits of different depth and width. And there is no obvio

IBM Quantum has been the leader in Quantum Technology in both hardware, middleware, and software. We have latest 156 qubits Heron processor chip which has capability to solve complex problems. Recently, several institutions has show-cased utility sca

Compute-intensive Monte Carlo methods are at the heart of material research. This project will explore specific software design patterns for heterogeneous computing specific to material research. The system of interest is dislocation loop models i

Apply novel Hamiltonian Simulation Algorithm techniques for applications in chemistry. The focus would be on large-scale models that align with the utility-scale experiments.

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The increasing complexity of modern software systems makes error detection and correction challenging for developers, necessitating accurate and insightful error explanations. Generative Large Language Models (LLMs) offer automated solutions but ofte

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