07/11/2025

Registration closes 07/11/2025
Virtual Workshop

Quantum Computing in Protein Design: Foundations to Applications using Open Tools

Redefining Protein Engineering with Deep Quantum Technology.

  • Mode: Virtual / Online
  • Type: Mentor Based
  • Level: Moderate
  • Duration: 2 Days (1.5 hours per day)
  • Starts: 11 July 2025
  • Time: 02:30 PM IST

About This Course

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.

Aim

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.

Workshop Objectives

  • 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

Workshop Structure

Day 1: Foundations of Quantum Biology and Protein Folding

  • Introduction to Quantum Computing
    • Qubits, superposition, entanglement
    • Classical vs quantum computing
  • Primer on Protein Structure and Design
    • Primary to quaternary structures
    • Protein folding problem
  • Challenges in Protein Folding
    • Energy landscapes
    • NP-hard nature of folding
  • Quantum Algorithms in Biology
    • VQE and QAOA explained with relevance to molecular systems
  • Hands-on Demo with IBM Quantum Experience
    • Create account
    • Visualize gates and run basic circuits

Day 2: Quantum Applications for Protein Design and Learning

  • Quantum Annealing & Protein Folding
    • Lattice models (e.g., HP)
    • QUBO formulation and quantum annealers
  • Hands-on with D-Wave Leap
    • Environment setup
    • Run protein folding example via Ocean SDK / Leap IDE
  •  Quantum Machine Learning (QML)
    • Frameworks: PennyLane, Qiskit ML
    • Applications in protein-ligand interactions
  • Protein Feature Classification with QML
    • Preprocessing data
    • Building a QNN in PennyLane
  • Future of Quantum Protein Design
    • Ethics, careers, and emerging research paths

Who Should Enrol?

  • Undergraduate or postgraduate degree in Biotechnology, Bioinformatics, Physics, Computer Science, or related fields.
  • Professionals in quantum computing, life sciences, pharmaceutical R&D, or computational biology sectors.
  • Individuals with a strong interest in cutting-edge applications of quantum technologies in biology.

Important Dates

Registration Ends

07/11/2025
IST 1:00 PM

Workshop Dates

07/11/2025 – 07/12/2025
IST 02:30 PM

Workshop Outcomes

  • 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

Meet Your Mentor(s)

Mentor Photo

Prof. Kumud Malhotra

Professor & Dean

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 . . . for content development and journal publication. She completed her Ph. D on “Genetic Epidemiology of Malaria in Some Population Groups of Delhi and Tribal Groups of Tarai Region of Nainital District” and Post Doctorate from Delhi University as an ICMR and UGC fellow.
Her expertise domains are Biotechnology, Genetics, Bioinformatics, Forensic  Science, Molecular Biology, and its allied areas. She has obtained Certifications in the areas of Genetic Engineering, Molecular Biology, Microarrays, Proteomics, and Parasitology from IGIB, NICD, MRC, and Delhi University. Down the lane, her achievements and accolades are the best employee and faculty while working at Bioinformatics Institute of India and RNB GLOBAL University as a Dean and other prestigious awards. Her contribution to the establishment of the School of Basic and Applied Sciences and Agricultural Sciences along with the approval from ICAR at the new University RNBGLOBAL
University was acknowledged by the Management.
Apart from teaching and academics her experience in content development and e-learning for various renowned universities and organizations like Banasthali Vidyapith, GOLS Academy, Biionline, etc. is an added credential of hers. Dr. Kumud Malhotra has been a Resource Person in Course Development Committees (for graduate and post-graduate programs) for Indira Gandhi National Open University (IGNOU), Jamia Hamdard along with other credits like Member of various committees like Academic Council, BOS, Research Committee, etc. for the IGNOU, IAMR. She has demonstrated caliber as a resourceful Technical Collaborator for the conduction of the Workshop on Bioinformatics at
Bundelkhand University and in Engineering College in Durg, Chhattisgarh with an appreciation letter from the university.
She is a member of the editorial board of various journals and has presented Papers at International Conferences on Genetics, Parasitology, Clinical Trials, Pharmacovigilance, Biotechnology, etc. Dr. Malhotra has delivered keynote addresses at CII, International Conferences, and member of various professional bodies Genetics Society, Indian Science Congress, International Society for Malariology and Parasitology, IAA, SBTI, etc. She has guided many students for Ph.D. and internships and got the projects from ICMR.

Fee Structure

Student Fee

₹1399 | $50

Ph.D. Scholar / Researcher Fee

₹1399 | $50

Academician / Faculty Fee

₹1399 | $50

Industry Professional Fee

₹1399 | $50

What You’ll Gain

  • Live & recorded sessions
  • e-Certificate upon completion
  • Post-workshop query support
  • Hands-on learning experience

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(+91) 120-4781-217

★★★★★
🌱 AI-Powered Life Cycle Assessment Dashboards

Thanks for the points raised, the only suggestion is to involve more interactive parts into the course.

Javad
★★★★★
Generative AI and GANs

Good workshop

Noelia Campillo Tamarit
★★★★★
AI for Federated Learning: Decentralized Data and Privacy-Preserving Models

I need invoice with the following data:
Tera Srl
Via Martin Luther King, 35
70014 Conversano (Ba) - ITA
VAT ID: IT06597060729

Please, send it to leonardo.cici@terasrl.it

Daniel Lotano
★★★★★
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program

overall it was a good learning experience

Purushotham R V

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