[ Research articles on Quantum machine learning, Classical machine learning and Quantum analysis ]

[Sunil Pradhan]

Dear Research community

Good day !

Please find below mentioned research articles which have been published  in the month of September  from my research groups  based on Quantum machine learning, Classical machine learning and 

hybrid classical-quantum approach.

Hope this research works provide some useful information and details.

(1) 

Quantifying the impact of feature-driven shortcuts in machine learning benchmarks for circuit performance prediction

https://www.nature.com/articles/s41598-026-66748-y

(2) 

A hybrid classical-quantum approach for medical image classification

https://www.nature.com/articles/s41598-026-66748-y

(3)

Machine learning enhanced coefficient of thermal expansion (CTE) of graphene incorporated aluminium based metal matrix composite

https://www.nature.com/articles/s41598-026-71597-w

Thanks, with regards

Dr. Sunil Kumar Pradhan

Associate Professor

eVIT-RC Centre, VIT-Chennai

School of Electronics Engineering (SENSE),

VIT-Chennai

 

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