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Quantum Statistical Inference
Pure-state prediction under relative-entropy loss, Cramér-Rao efficiency of quantum U-statistics, and optimal quantum state estimation.
Quantum Information · Quantum Learning Theory · Quantum Statistical Inference
PhD researcher studying information theory, learning, and communication in quantum settings.
Senior Research Fellow
Electronics and Communication Sciences Unit (ECSU)
Indian Statistical Institute, Kolkata
Ayanava Dasgupta is a Senior Research Fellow and doctoral candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, supervised by Dr. Naqueeb Ahmad Warsi. He holds an M.Tech in Computer Science from ISI Kolkata and a B.Tech in Computer Science Engineering from Government College of Engineering and Leather Technology (GCELT), Kolkata. A recipient of the prestigious TCS Research Fellowship (Cycle 2025-29), his research investigates quantum communication, quantum learning theory, quantum statistical inference and quantum differential privacy etc.
Overview
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Pure-state prediction under relative-entropy loss, Cramér-Rao efficiency of quantum U-statistics, and optimal quantum state estimation.
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Quantum information ordering, stability-implies-generalization guarantees, and privacy-preserving quantum learning.
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Generalization bounds for quantum learning via Rényi divergences, PAC learning in operator spaces, and sample complexity analysis.
Communication
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