Quantum Deep Hedging. - El Amine Cherrat; Snehal Raj; Iordanis Kerenidis; Abhishek Shekhar; Ben Wood; Jon Dee; Shouvanik Chakrabarti; Chun-Fu Richard Chen; Dylan Herman; Shaohan Hu; Pierre Minssen; Ruslan Shaydulin; et al. (Quantum, 2023)

Training-efficient density quantum machine learning. - Brian Coyle; El Amine Cherrat; Nishant Jain; Natansh Mathur; Snehal Raj; Skander Kazdaghli; Iordanis Kerenidis (CoRR, 2024)

Hyper Compressed Fine-Tuning of Large Foundation Models with Quantum Inspired Adapters. - Snehal Raj; Brian Coyle (CoRR, 2025)

Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection. - Natansh Mathur; Brian Coyle; Nishant Jain; Snehal Raj; Akshat Tandon; Jasper Simon Krauser; Rainer Stoessel (CoRR, 2025)