3 papers
quant-ph2026
Tunable M-Ary Quantum Secure Direct Communication via Correlation-Histogram Modulation
Todd M. W. Hodges
We propose a two-way entanglement-based quantum secure direct communication (QSDC) protocol in which information is encoded as the value of a continuously tunable parameter and dec…
cs.LG2025
Enhancing Federated Learning Privacy with QUBO
Andras Ferenczi, Sutapa Samanta, Dagen Wang +1
Federated learning (FL) is a widely used method for training machine learning (ML) models in a scalable way while preserving privacy (i.e., without centralizing raw data). Prior re…
quant-ph2025
Credit Default Prediction with Projected Quantum Feature Models and Ensembles
Andras Ferenczi, Dagen Wang, Mariya Bessonova +8
Accurate prediction of future loan defaults is a critical capability for financial institutions that provide lines of credit. For institutions that issue and manage extensive loan…