Programming with Qiskit: Gates to Application

Hello All,

Welcome to another exciting Knowledge series event hosted by Quantum Computing India

Agenda

• Programming with Qiskit: Gates to Application

1. Start with simple gate level example
2. Work towards a more interesting algorithm
3. Run the same algorithm at application level using library API
4. Explore couple of interesting solutions at application level: classification and optimisation

Pre-requisite - Qiskit + Jupyter Notebook installed on your laptop

RSVP >>> https://quantumcomputingindia.com/knowledge-series

Bio: Shesha Raghunathan

Joined IBM in 2011 as part of Electronic Design Automation (EDA) Timing
analysis development team. He has worked on various aspect of analysis
including noise, timing abstraction and reporting. Currently he has been
focusing primarily on EDA 3.0 (analytics in EDA) and is one of the
principal contributors in that initiative. Since 2018 he has additional
responsibility of being a IBM Q Ambassador. As (Senior) IBM Q Ambassador Shesha is amongst few who can officially talk about and for IBM Q technology. Shesha got his PhD in Electrical Engineering (Quantum Computing) from University of Southern California, LA in 2010.

https://www.linkedin.com/in/shesha-raghunathan-16611718/

Speaker 2: Rana Prathap
I'm a final year Undergrad majoring in Mathematics and Computing at IIT Kharagpur. Previously I've been researching on utilising Low Density Parity Check Codes as a post processing step of Quantum Key Distribution at the Quantum Cloud Lab, University of Calgary. Further Rahul and I participated in the IBM Quantum Challenge 2019 and were selected to attend Qiskit Camp Asia 2019. Currently I am interning in the Growth and Identity team along with a focused research project at IBM Quantum, headquartered at Yorktown Heights, New York.

LinkedIn: https://www.linkedin.com/in/ranaprathapsimh/

See you this Saturday!