collaborators

5 papers

quant-ph2026

Motzkin-Straus Optimization on an Entropy-Computing Platform

PoJen Wang, Sutapa Samanta, Yuntai Song +1

We introduce a framework for combinatorial optimization using sum-constrained continuous quadratic programs solvable by QCi's Dirac-3S photonic entropy computer. This is enabled by…

cs.LG2026

Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers

Andras Ferenczi, Sutapa Samanta, Dagen Wang +1

Federated Learning (FL) trains a global model across decentralized clients while preserving data privacy, but at scale it is vulnerable to malicious updates. Byzantine-resilient ag…

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…

quant-ph2025

Realizing supersymmetry in a digitized quantum device

Sutapa Samanta, Jian-Xin Zhu, Armin Rahmani

The tricritical Ising model serves as an example of emergent spacetime supersymmetry, which can arise in condensed matter systems. In this work, we present a variational quantum al…