3 papers
quant-ph2026
QUBO Modeling of Module Learning With Errors: Stability and Scaling in Post-Quantum Cryptography
Ruturaj Khamitkar, Durga Pritam Suggisetti, Soujanya Chatti +2
Lattice-based post-quantum cryptography relies on the hardness of the Learning With Errors (LWE) and Module Learning With Errors (MLWE) problems. This work introduces a constructiv…
cs.LG2026
Federated Learning with Quantum Enhanced LSTM for Applications in High Energy Physics
Abhishek Sawaika, Durga Pritam Suggisetti, Udaya Parampalli +1
Learning with large-scale datasets and information-critical applications, such as in High Energy Physics (HEP), demands highly complex, large-scale models that are both robust and…
q-fin.CP2025
A Privacy-Preserving Federated Framework with Hybrid Quantum-Enhanced Learning for Financial Fraud Detection
Abhishek Sawaika, Swetang Krishna, Tushar Tomar +5
Rapid growth of digital transactions has led to a surge in fraudulent activities, challenging traditional detection methods in the financial sector. To tackle this problem, we intr…