Author

Amrita Kundu

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Conference Jul 2026

Calibration of Variational Quantum Classifiers Under Depolarizing Noise: Expected Calibration Error, Ansatz Expressibility, and Post-Hoc Temperature Scaling

Variational Quantum Classifiers (VQCs) have emerged as prime candidates for machine learning on NISQ systems. It stands to reason that the same depolarizing noise that drives quantum states toward the maximally mixed state would also alleviate the overconfidence of VQCs. This paper tests that hypothesis through an empi...

Souvik Ghosh, Amrita Kundu, Mithaguru et al. · 2026 International Conferenc... · 0 citations

Conference Jul 2026

AdaptiReason: Adaptive Chain-of-Thought Compression for Efficient Large Language Model Inference

Large Language Models (LLMs) trained using Chain-of-Thought (CoT) supervision have achieved state-of-the-art performance on complex reasoning tasks. However, the generation of long reasoning chains introduces substantial computational overhead during inference, limiting their deployment in low-latency and resource-cons...

V. A, Mithaguru, Amrita Kundu et al. · 2026 4th International Confe... · 0 citations

Conference Jun 2026

Benchmarking Data Heterogeneity Challenges in Federated Learning for Distributed Renewable Energy Forecasting: A Systematic Gap Analysis

Federated Learning (FL) offers a privacy-preserving framework for training energy forecasting models across geographically distributed nodes without centralising raw metering data. However, the accuracy of classical FL algorithms degrades substantially when client data is heterogeneous, a condition that is the norm rat...

Souvik Ghosh, Amrita Kundu, Mithaguru et al. · 2026 Third International Con... · 0 citations