Hybrid quantum-classical graph neural networks for tumor classification in digital pathology
- Anupama Ray
- Dhiraj Madan
- et al.
- 2024
- QCE 2024
Bio
Dhiraj Madan is a research scientist at IBM Research India, where he works on quantum machine learning, optimization and quantum error correction. He also worked in conversational AI team where he worked on DL algorithms for conversation modeling. Prior to joining IBM, he graduated from IITD with Bachelors and Masters in Computer Science and Engineering.
Publications
Machine Learning based Decoding of Heavy Hexagonal QECC for Asymmetric Quantum Noise
- Debasmita Bhoumik
- Ritajit Majumdar
- et al.
- 2024
- ISVLSI 2024
Learning hard distributions with quantum-enhanced variational autoencoders
- Anantha Rao
- Dhiraj Madan
- et al.
- 2024
- QIP 2024
Optimized QAOA ansatz design for two-body Hamiltonian problems
- Riajit Majumdar
- Debasmita Bhoumik
- et al.
- 2024
- VLSID 2024
Learning hard distributions with quantum-enhanced variational autoencoders
- Anantha Rao
- Dhiraj Madan
- et al.
- 2023
- NeurIPS 2023
Towards quantum-enabled cell-centric therapeutics
- Saugata Basu
- Jannis Born
- et al.
- 2023
- arXiv
Unsupervised Learning of Interpretable Dialog Models
- Dhiraj Madan
- Dinesh Raghu
- et al.
- 2020
- ECAI 2020
Patents
Top collaborators
AR
Anupama Ray
Senior Research Scientist
DV
Dhinakaran Vinayagamurthy
Staff Research Scientist; Quantum Innovation Center - Lead, India and Singapore
FU
Filippo Utro
Senior Research Scientist
LP
Laxmi Parida
IBM Fellow, Industry Diamond, Master Inventor