
92% Booked
Registration Closed
Quantum computing has emerged as a transformative paradigm with the potential to revolutionize molecular biology and protein engineering. Protein folding — a complex, NP-hard problem — stands to benefit significantly from quantum-inspired approaches that promise more efficient and scalable solutions. This workshop is designed to bridge the gap between quantum computing theory and its real-life implications in protein science.
Over two days, participants will explore fundamental quantum computing principles, biological protein structures, and key quantum algorithms like VQE, QAOA, and quantum annealing. Through hands-on sessions using IBM Quantum Experience, D-Wave Leap, and frameworks like PennyLane, learners will simulate protein folding and apply quantum machine learning models to biological datasets — all using free, open-source tools.
Professional Certification Program
To introduce participants to the interdisciplinary fusion of quantum computing and protein design, equipping them with the foundational concepts and hands-on skills using open-source quantum tools. The workshop enables learners to understand protein folding, quantum algorithms, and their real-world biological applications.
Understand quantum computing principles and their application to biological systems
Learn the fundamentals of protein structure and folding problems
Apply quantum algorithms like VQE and QAOA to biomolecular challenges
Gain hands-on experience with IBM Quantum and D-Wave platforms
Build simple QML models to analyze protein-based datasets using open-source tools
Day 1: Foundations of Quantum Biology and Protein Folding
07/11/2025
Indian Standard Timing 1:00 PM
07/11/2025 to 07/12/2025
Indian Standard Timing 02:30 PM
Clear understanding of protein design and quantum computation synergy
Practical skills in using IBM and D-Wave platforms
Ability to frame protein folding problems for quantum solvers
Introduction to real-world use cases of quantum biology
Hands-on experience with quantum neural networks
Prof. Kumud Malhotra, Dean of the University Institute of Physical and Life Sciences with 30 years of experience is an academician and administrator and has attained the highest echelons in the educational sector by managing senior positions, like Director, Dean, Managing Editor, or Editor-in-Chief . . .
INR. 1399
USD. 50
Quantum Bioinformatics Scientist
Researcher in Quantum Chemistry and Drug Discovery
Computational Biophysicist in Pharma and Biotech
Quantum Software Developer for Biomedical Applications
Research Assistant in Quantum Machine Learning
Graduate Research Fellow in Interdisciplinary Quantum Life Sciences
Quantum algorithm design roles in startups and R&D labs
Bioinformatics and structural biology research in pharma companies
Quantum software internships (IBM, D-Wave, Zapata, etc.)
Data scientist positions requiring QML understanding
Academic fellowships in quantum health tech labs
Roles in interdisciplinary innovation hubs and bio-AI centers
Take your research to the next level!
Achieve excellence and solidify your reputation among the elite!
Digital Twins: Predictive …
AI, Biopolymers, and Smart …
AI-Powered Drug Discovery with …
Machine Learning Approaches …
none
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Instant Access
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.