Cracking Complexity: From Classical Limits to Quantum Possibilities in Modern Computing

Bengaluru, 13th April 2026: The Centre of Excellence (CoE) in Theoretical Computer Science, Department of Computer Science and Engineering at JAIN (Deemed-to-be University), Bengaluru, organised a technical talk on “Classical and Quantum Complexity and their Real-World Applications”, bringing together students and faculty at the Faculty of Engineering and Technology campus for an engaging exploration of computational theory and its modern-day relevance.

The session was designed to strengthen foundational understanding of classical complexity concepts such as P, NP, and NP-completeness, while also introducing participants to emerging quantum complexity classes. Delivered by Dr Veni Madavan C E, Former Professor at the Indian Institute of Science (IISc), the talk offered a structured transition from traditional computational models to the rapidly evolving landscape of quantum computing.

The programme focused on how theoretical frameworks in computer science translate into practical applications across domains including cryptography, optimisation, and data-driven systems. By drawing clear distinctions between classical and quantum computation, the speaker helped participants understand why certain problems remain computationally intensive today, and how quantum approaches may redefine solvability in the future.

A significant portion of the discussion connected complexity theory with real-world technological challenges. The session highlighted how algorithmic evaluation and system design depend on understanding computational limits, encouraging students to think beyond implementation and towards efficiency and scalability in problem-solving.

The talk also featured insights into advanced computing paradigms and their potential impact on areas such as secure communication and large-scale data processing. This theoretical grounding was complemented by references to ongoing research trends, encouraging students to consider academic and industry pathways in emerging fields like quantum computing and computational complexity theory.

Organised under the guidance of senior academic leadership, including Dr Kamlesh Tiwari, Dr A. Suresh Kumar, and Dr Suriya Prakash J, the session reflected the institution’s focus on strengthening theoretical foundations alongside applied learning. Faculty coordinators ensured smooth execution and active academic engagement throughout the event.

The programme concluded with a reflection on the importance of theoretical computer science as a backbone for innovation in modern computing systems. Participants gained a clearer appreciation of how abstract mathematical models underpin real-world technologies, while also gaining exposure to future-oriented fields that are expected to shape the next generation of computing.

Overall, the technical talk served as a valuable academic platform, deepening conceptual clarity while inspiring curiosity towards advanced research in both classical and quantum computational sciences.