106 citations · 168 across the 17 of their papers we have counts for
17 papers
Quantum AI for Cancer Diagnostic Biomarker Discovery
Mandeep Kaur Saggi, Amandeep Singh Bhatia, Humaira Gowher +1
Quantum machine learning offers a promising new paradigm for computational biology by leveraging quantum mechanical principles to enhance cancer classification, biomarker discovery…
Quantum Machine Learning for Complex Systems
Vinit Singh, Amandeep Singh Bhatia, Mandeep Kaur Saggi +2
Quantum machine learning (QML) is rapidly transitioning from theoretical promise to practical relevance across data-intensive scientific domains. In this Review, we provide a struc…
Quantum Computing for Electronic Circular Dichroism Spectrum Prediction of Chiral Molecules
Amandeep Singh Bhatia, Sabre Kais
Electronic circular dichroism (ECD) spectroscopy captures the chiroptical response of molecules, enabling absolute configuration assignment that is vital for enantioselective synth…
Enhancing Quantum Federated Learning with Fisher Information-Based Optimization
Amandeep Singh Bhatia, Sabre Kais
Federated Learning (FL) has become increasingly popular across different sectors, offering a way for clients to work together to train a global model without sharing sensitive data…
Multi-Omic and Quantum Machine Learning Integration for Lung Subtypes Classification
Mandeep Kaur Saggi, Amandeep Singh Bhatia, Mensah Isaiah +2
Quantum Machine Learning (QML) is a red-hot field that brings novel discoveries and exciting opportunities to resolve, speed up, or refine the analysis of a wide range of computati…
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare
Amandeep Singh Bhatia, David E. Bernal Neira
Healthcare industries frequently handle sensitive and proprietary data, and due to strict privacy regulations, they are often reluctant to share data directly. In today's context,…