INTRODUCTION TO QUANTUM COMPUTING:
QUANTUM ALGORITHMS AND QISKIT
MULTI-FACULTY
PRE-REQUISITES : Basic Linear algebra is a pre-requisite. (You can brush-up from any crash course, ex: https://
www.khanacademy.org/math/linear-algebra) Week 0 will have a Linear Algebra Brushup Assignment that can help set
expectations on pre-requisite for the course.
INTENDED AUDIENCE : Open to students, researchers and faculty from Computer Science and Physics, Mathematics
and Chemistry departments.
INDUSTRIES APPLICABLE TO : IBM, Microsoft, Intel, TCS, Infosys, CQC, Honeywell, Google, Riggetti, D-Wave and
several others would be interested and value this course as IBM has been the pioneer in Quantum technologies
both in hardware and software and have several Quantum computers available as well as the entire software
stack is available.
COURSE OUTLINE :
Quantum computing is fast emerging as one the key disruptive technologies of our times. It is a
fundamentally new computing paradigm that has the potential to efficiently solve certain challenging problems
which cannot be solved efficiently in a classical setting. IBM has made significant investment in this technology and is
recognized as a leader in this space. This course will provide introduction to Quantum Computation, starting with
basic concepts such as superposition and entanglement, to discussing the quantum circuit model of
computation and basic Quantum algorithms that demonstrate the power of computing with quantum bits. We will
also introduce the idea of quantum error correction to mitigate the effects of noise in today’s quantum devices. We will
have full hands-on sessions for each concept taught using Qiskit, a pythonic way of programming and the IBM
Circuit Composer.
ABOUT INSTRUCTOR :
Prof. Prabha Mandayam, Associate Professor, IIT Madras – PhD in Quantum Computing, Caltech.Bio - Prabha
Mandayam graduated with a Masters in Physics from IIT Madras and obtained her PhD from the Institute for Quantum
Computing at Caltech. After working as a post-doctoral fellow at the Institute for Mathematical Sciences and INSPIRE
faculty fellow at the Chennai Mathematical institute, she rejoined her alma mater as faculty in 2014,. Her research
interests include quantum error correction and quantum cryptography.
Prof. Anupama Ray, Advisory Research Scientist, IBM Quantum Ambassador and Qiskit Advocate, IBM Research –
PhD in Deep Learning, IIT Delhi. Bio- Anupama Ray is an Advisory Research Scientist at IBM Research, India. She
is an IBM Quantum Ambassador and a Qiskit Advocate. She completed her Ph.D from Indian Institute of
Technology Delhi. With her doctoral research focusing on developing and applying multi-dimensional deep recurrent
neural networks for document analysis and computer vision applications. At IBM Research she has been
predominantly working in the area of natural language processing: building NLP systems for low-resource
languages, domain independent information extraction systems and natural language generation. She has interests
in Quantum ML, Quantum NLP, and AI for societal applications. She has published several papers in top tier
conferences and journals and has received several Best paper awards. She has been the recipient of the IEEE
Best Woman Professional (Early Career) and several awards at IBM Research such as Research Division Award,
Eminence and Excellence Award and Outstanding Technical Achievement Award to name a few. She was
nominated and selected as a Young Scientist in Global Young Scientist Summit and is an active member of IEEE,
AAAI, and Society of Women Engineers (SWE) India.
Prof. Sheshashayee Raghunathan, Senior Engineer IBM Quantum Ambassador and Qiskit Advocate – PhD in Quantum
Computing, University of Southern California 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 leading
timing triage efforts. Since 2018 he has additional responsibility of being an IBM Quantum Ambassador, now a
Distinguished Ambassador, and is the team lead for India/SA region. As IBM Quantum Distinguished Ambassador
Shesha is amongst few who can officially talk about and for IBM Quantum technology. Shesha got his PhD in Electrical
Engineering (Quantum Computing) from University of Southern California, LA in 2010. He has over 10 publications
spanning reconfigurable computing, static timing analysis and quantum computing, and has 4 patents to his name.
