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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Vegi Fernando

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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. · 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. · 0 citations

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