Train the Trainer

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April 12, 2024 08:45 AM - April 13, 2024 06:00 PM

Abstract

Train the Trainer program is being jointly organized by I-HUB QTF and NVIDIA, aimed at preparing individuals for the era of Quantum Computing. The two-day, in-person, hands-on workshop will feature engaging talks and tutorials. Esteemed faculty members will have the opportunity to develop proficiency in crafting large-scale quantum applications and accelerated simulations using NVIDIA CUDA Quantum. These applications will be designed to operate on Quantum Processing Units (QPUs) employing various qubit modalities. A prerequisite for participation is a background in Quantum Computing and hands-on experience.

Agenda

 

Day -1: April 12, 2024

Speakers

 

 

 

08.45:00

Registration

 

09:00:00

Introduction of I-HUB

Prof Sunil Nair

09:15:00

Accelerated Computing

Shri Nitiraj Singh

09:30:00

Expert Talk: Accelerated Quantum Computing

Dr Sam Stanwyck

10:15:00

Expert Talk: Simulations of Relativistic and many-body effects in atoms using Quantum Algorithms

Prof Bhanu Das

11:00:00

Tea Break

 

11:30:00

An Introduction to CUDA Quantum

Dr Manish Modani

12:15:00

Classical-QPU Integration

Dr Sam Stanwyck

12:30:00

Basic Concepts of Quantum Computing   (Quick Refresh)

Dr Pooja Rao

13:30:00

Lunch

 

14:15:00

Account Setup, Hands On, Quantum programming via CUDA-Q (Python & C ++);

Dr Pooja Rao

15:45:00

Tea Break

 

16:00:00

Expert Talk: Solving QUBOs with Digital Annealers on GPUs

Prof Anil Prabhakar

16:45:00

Hybrid algorithms

Dr Pooja Rao

18:30:00

Expert Talk:  The generative quantum eigen solver (GQE) and its application for ground state search

Dr Kohei Nakaji

19:00:00

Expert Talk: Quantum Simulation of Quantum Materials Using Accelerated HPC

Dr Grace Johnson

     
 

Day 2: April 13, 2024

 

 

 

 

09:30:00

Expert Talk: Quantum Machine Learning Circuits for Larger Scale

Prof Amlan Chakrabarti

10:15:00

Expert Talk: Quantum Communication  & Simulation

Dr S K Pal

11:00:00

Tea

 

11:30:00

Scalable and performant application building in CUDA-Q

Dr Pooja Rao

13:30:00

Lunch

 

14:30:00

AI-enabled quantum computing

Dr Pooja Rao

15:15:00

Expert Talk: Larger scale Quantum Computing for quantum filed theories

Prof Nilmani Mathur

16:00:00

Tea Break

 

16:15:00

CUDA Quantum: DLI  & Course Curriculum

Dr Sam Stanwyck

17:15:00

Runtime challenges, Feedback, Future Plans, Q&A

Dr Sam Stanwyck, Dr Pooja  Rao, Dr Manish Modani

18:00:00

Thanks