Bhavika Bhalgamiya

According to our database, Bhavika Bhalgamiya authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Implementing Large Quantum Boltzmann Machines as Generative AI Models for Dataset Balancing.

Salvatore Sinno, Markus Bertl, Arati Sahoo, Bhavika Bhalgamiya, Thomas Groß, Nicholas Chancellor

CoRR, February, 2025

Hybrid Quantum-Classical Transfer Learning Model for Credit Risk Assessment with Reduced Quantum Overhead and Enhanced Minority Class Prediction.

Parvathy Gopakumar, Rubell Marion Lincy G, Salvatore Sinno, Shruthi Thuravakkath, Bhavika Bhalgamiya

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2025

2024

Quantum Machine Learning in Precision Medicine and Drug Discovery - A Game Changer for Tailored Treatments?

Markus Bertl, Alan Mott, Salvatore Sinno, Bhavika Bhalgamiya

Proceedings of the Bridging the Gap Between AI and Reality, 2024

2023

Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection.

Biswaraj Baral, Reek Majumdar, Bhavika Bhalgamiya, Taposh Dutta Roy

CoRR, 2023

Evaluating Quantum Machine Learning Approaches for Histopathological Cancer Detection: Classical, Hybrid Simulation, and IBM Quantum Computing.

Biswaraj Baral, Reek Majumdar, Bhavika Bhalgamiya, Taposh Dutta Roy

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Quantum Annealing Error Mitigation Using Mirror Symmetries on Different Generations of Quantum Annealers.

Bhavika Bhalgamiya, Dilina Perera, Mark A. Novotny

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022