An evolutionary strategy for finding effective quantum 2-body Hamiltonians of p-body interacting systems. - Giovanni Acampora; Vittorio Cataudella; Pratibha Raghupati Hegde; Procolo Lucignano; Gianluca Passarelli; Autilia Vitiello (Quantum Mach. Intell., 2019)

Memetic algorithms for mapping p-body interacting systems in effective quantum 2-body Hamiltonians. - Giovanni Acampora; Vittorio Cataudella; Pratibha Raghupati Hegde; Procolo Lucignano; Gianluca Passarelli; Autilia Vitiello (Appl. Soft Comput., 2021)

Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications. - Pratibha Raghupati Hegde; Oleksandr Kyriienko; Hermanni Heimonen; Panagiotis Tolias; Gilbert Netzer; Panagiotis Kl. Barkoutsos; Ricardo Vinuesa; Ivy Peng; Stefano Markidis (CF, 2024)

Quantum Physics Informed Neural Networks. - Pratibha Raghupati Hegde; Stefano Markidis (ICPP Workshops, 2024)

Accelerating Particle-in-Cell Monte Carlo simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming. - Jeremy J. Williams; Felix Liu; Jordy Trilaksono; David Tskhakaya; Stefan Costea; Leon Kos; Ales Podolnik; Jakub Hromadka; Pratibha Raghupati Hegde; Marta Garcia-Gasulla; Valentin Seitz; Frank Jenko; et al. (J. Comput. Sci., 2025)

A Hybrid Quantum-Classical Particle-in-Cell Method for Plasma Simulations. - Pratibha Raghupati Hegde; Paolo Marcandelli; Yuanchun He; Luca Pennati; Jeremy J. Williams; Ivy Peng; Stefano Markidis (CoRR, 2025)

Tightly-integrated quantum-classical computing using the QHDL hardware description language. - Gilbert Netzer; Pratibha Raghupati Hegde; Ivy Peng; Stefano Markidis (Future Gener. Comput. Syst., 2026)