GRM is a unique platform where students remotely work on challenging short/long term technical projects defined by IBM mentors.
Students get the opportunity to interact with top IBM technical expertise and learn to use tools and strategies to get skilled and comfortable with gen next technologies and doing it online makes it easier to work from any part of India.
This project aims to build a strong foundation in quantum algorithms for molecular simulation, with a focus on the Variational Quantum Eigensolver (VQE) and Sample-based Quantum Diagonalization (SQD). Students will learn how molecular Hamiltonians ar
This project aims to be able to suggest error mitigation algorithms and its parameters for particular Quantum applications- starting with QML applications
Use classical machine learning to explore the space of quantum codes to hopefully discover new codes
Review the state-of-art in AI for Quantum Computing specifically in the QCSC area. Aim is to propose AI-enhanced workflow management framework.
The QAOA circuit for constrained optimization usually contains many multi-controlled operations, leading to an increased depth of the circuit. However, some of these operations can be performed in parallel, for non-disjoint vertices such that the ove
Create an Interactive application flow using Qiskit Patterns and Functions for 2 applications - one QML and one for a QAOA (if possible)
Review papers on QNLP and divide them to groups of applications and algorithms
Create two chatbots and compare between them: 1. create a RAG based chatbot using lang chain framework on some open learning material on quantum computing like research papers etc. 2. create a Agentic Chatbot based on same content but some more api
Create AI agents on LangGraph using Watsonx AI platform