About Me 🙋🏻♂️
I am a Quantum Engineer and researcher working at the intersection
of quantum algorithms, quantum machine learning, and quantum-inspired
optimization. My research focuses on designing scalable, low-depth
quantum models under NISQ constraints, with particular emphasis on
entanglement characterization, dynamic circuits, and hybrid quantum-classical frameworks.
I hold an M.Tech in Quantum Technologies from IIT Jodhpur, where my work spanned
quantum teleportation using dynamic circuits, multi-qubit entanglement
classification with quantum neural networks, and optimization problems
using QAOA and quantum annealing. I have co-authored peer-reviewed and
preprint publications and actively contribute to quantum education through mentoring, workshops, and invited talks.
Beyond research, I am deeply interested in building sustainable quantum
ecosystems—bridging theory, hardware, education, and industry. My vision is to
contribute to the development of scalable quantum systems while nurturing
the quantum researchers through teaching and community leadership.
Email: er.mthirumalai@gmail.com | LinkedIn | Google Scholar | GitHub
Experience 💼
• Quantum Engineer at QpiAI, Bangalore (Nov 2025 - Present)• Knowledge Asscociate at Centre for Development of Advanced Computing (C-DAC), Delhi (July 2025 - Oct 2025)
• Automation Analyst at Amazon, Chennai (July 2019 - July 2023)
Education 🎓
• Doctor of Philosophy (PhD) in Quantum Machine Learning at Indian Institute of Technology, Delhi (2025 - Withdrawn)• Master of Technology (MTech) in Quantum Technologies at Indian Institite of Technology, Jodhpur (2025)
• Bachelor of Engineering (BE) in Electrical and Electronics Engineering at KCG College of Technology, Chennai (2018)
Publications 📃
• Quantum neural networks facilitating quantum state classification arxiv• From Static to Dynamic: Implementation of Long-Range Entanglement GHZ States for Dynamic Circuit-Based Quantum Teleportation link
Projects & Research ⚛️
Master Thesis Project- Classification of multi-qubit Quantum State using QML modelsCourse Projects
• Custom ansatz for Variational Quantum Classifier | Link
• Dynamic Circuit based Quantum Teleportation | Link
• Quantum Convulutional Neuaral Network for mecical image classification | Link
• Implementation of Quantum Algorithms | Link
• Quantumm Inspired Optimization problems | Link
Bachelor Thesis Project- Power Factor Improvement in KCG College - Case Study
Blogs 📝
I write blogs on various topics in Quantum Computing verticals, please read my blogs at Ghost named iQuantum Notebook and feel free add your suggestions.Co-Curricular Activities 📊
Leadership Skills• Secretary of Quantum Club - IIT Jodpur (2024-2025)
• Qiskit Fall Fest 2024, 2025 Organizer - Badge
• Project Mentor at QWorld QInternship 2024 - Certificate
• Organized Quantum Algorithms workshop with Classiq
• Placement Co-ordinator at Placement Cell IIT Jodhpur
• Lead KCG College NCC troop as Company Quarter Master Sergeant (2018)
Rewards and Recognition
• Qiskit Advocate
• Certifications from Qiskit | Pennylane | QWorld | Womanium | Classiq and others found here
• Breaking the Barrier Award at college day, 2018 Certificate
• GATE CSE 2023 Qualified
• Stellar award and Star of the Month during my tenure at Amazon