Department of Computer Science at St. Xavier’s University, Kolkata (SXUK) organized a seminar on “Quantum Computing in Data Science” on April 16, 2026, at the university campus. 60 students participated in the event.

The seminar was conducted by Dr. Ajanta Das, Principal of Nistarini Government College, Purulia, West Bengal. She introduced the concept of quantum computing as a revolutionary computational paradigm rooted in the principles of quantum mechanics. She explained how quantum computers differ from classical systems by using qubits, which exploit phenomena like superposition and entanglement to perform complex calculations more efficiently.

he talk highlighted the growing significance of quantum computing in data science, particularly in solving computationally intensive problems. Dr. Das discussed key algorithms such as Grover’s Algorithm, which offers faster search capabilities, and Shor’s Algorithm, known for its impact on cryptographic systems through rapid factorization.

Dr. Das shed light on Quantum Machine Learning (QML), an emerging interdisciplinary field that combines quantum algorithms with traditional machine learning techniques to improve performance in tasks like classification, clustering, and feature mapping. Tools like Qiskit were mentioned as important platforms for experimenting with hybrid quantum-classical models.

Dr. Das addressed the current limitations of quantum computing, including hardware constraints, noise, and high error rates. She emphasized that while large-scale, fault-tolerant quantum systems are still under development, ongoing research continues to push the boundaries of this technology. The seminar concluded with an interactive session.

Dr. Soma Debnath