Anantha Krishnan Sunilkumar

Anantha Krishnan Sunilkumar

Studying how foundational understanding can bring quantum advantage into machines, math and in undertsanding nature itself. *Apprenticing elemental quantum magic through the eyes of arcane information theory*

Coursework, Workshops and Conferences

Coursework

I got my bachelor’s and master’s dual degree in Physics from the Indian Institute of Science Education and Research (IISER) Thiruvananthapuram (5 yrs) with strong expertise in Quantum Information Theory and Machine Learning in 2023 as a Physics major and Data science minor. In my academic journey, I majored in Physics (Quantum Information Theory) with strong foundations in Electromagnetism, Classical, Statistical, and Quantum mechanics, Condensed Matter Physics, Atomic, and Nuclear physics courses, and excellence in advanced courses in Quantum Foundations, Quantum Information Theory, Quantum Many-Body Theory, Electrodynamics with Special and General theories of relativity, Quantum Field Theories.

For my Master’s thesis in Quantum Information theory under the guidance of Prof. Anil Shaji and Dr. Debashis Saha, I worked on “Exploring Triangle Nonlocality using Machine Learning” on which a manuscript is currently being prepared and will be open to peer-review.

I have taken comprehensive courses in Programming, Differential equations and analysis, and multiple interdisciplinary courses. I have excelled in courses on Machine Learning and Computational techniques, Probability and Statistics, Advanced Mathematical methods, and Data and Statistical models.

For my Minor thesis in Data Science under the guidance of Dr. Nagaiah Chamakuri, I worked on “Superadditivity of Coherent Information in Noisy Quantum Channels”

I have a total CGPA of 8.34 out of 10 with excellent overalls in Quantum Information Theory and Machine Learning methodologies with exceptional grades for both my Major and Minor Thesis Projects.

Qiskit Global Summer School 2020 (Introduction to Quantum Computing and Quantum Algorithms), Qiskit Global Summer School 2021 (Introduction to Quantum Machine Learning), Qiskit Global Summer School 2022 (Introduction to Quantum Simulations), and Qiskit Global Summer School 2023 (Theory to Implementation)

Worshops & Conferences

• Conference Paper - Frontier Symposium Physics 2024 in IISER Thiruvananthapuram: Quantum Network Nonlocality using Machine learning. • Qiskit Global Summer School (QGSS) 2021, 2022, 2023 on Quantum Machine Learning, Quantum Simulation and Algorithms, and Theory to Implementation. • Participated in Hackathon - Datathon IndoML 2023 • Brain, Computation, and Learning (BCL) 2023 workshop at IISc, Bangalore. • Attended the Summer school on Quantum Information and Quantum Technology (QIQT) 2021 • Participated in 2021 Build a Detector Workshop organized by the NewtonBhabha and LIGO India partnership • Attended the Intel one API HPC Free Training & Workshop at IISER Thiruvananthapuram • Attended the MatLab workshop on image processing, curve fitting, and parallel computing at IISER Thiruvananthapuram • Attended the International Workshop on HPC in Science and Engineering 2021 at IISER TVM • Participated in IAAC 2020, 2021, 2022 and 2023