activity
20212025
most citedGenetic optimization of quantum annealing

36 citations · 59 across the 6 of their papers we have counts for

collaborators

6 papers

physics.plasm-ph2025★ 2 cited

Integrating High Performance In-Memory Data Streaming and In-Situ Visualization in Hybrid MPI+OpenMP PIC MC Simulations Towards Exascale

Jeremy J. Williams, Stefan Costea, Daniel Medeiros +11

Efficient simulation of complex plasma dynamics is crucial for advancing fusion energy research. Particle-in-Cell (PIC) Monte Carlo (MC) simulations provide insights into plasma be…

quant-ph2025★ 2 cited

A Hybrid Quantum-Classical Particle-in-Cell Method for Plasma Simulations

Pratibha Raghupati Hegde, Paolo Marcandelli, Yuanchun He +4

We present a hybrid quantum-classical electrostatic Particle-in-Cell (PIC) method, where the electrostatic field Poisson solver is implemented on a quantum computer simulator using…

quant-ph2024

Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications

Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen +6

There is much debate on whether quantum computing on current NISQ devices, consisting of noisy hundred qubits and requiring a non-negligible usage of classical computing as part of…

cs.DC2024★ 7 cited

Accelerating Particle-in-Cell Monte Carlo Simulations with MPI, OpenMP/OpenACC and Asynchronous Multi-GPU Programming

Jeremy J. Williams, Felix Liu, Jordy Trilaksono +11

As fusion energy devices advance, plasma simulations are crucial for reactor design. Our work extends BIT1 hybrid parallelization by integrating MPI with OpenMP and OpenACC, focusi…

quant-ph2022★ 12 cited

Deep learning optimal quantum annealing schedules for random Ising models

Pratibha Raghupati Hegde, Gianluca Passarelli, Giovanni Cantele +1

A crucial step in the race towards quantum advantage is optimizing quantum annealing using ad-hoc annealing schedules. Motivated by recent progress in the field, we propose to empl…

quant-ph2021★ 36 cited

Genetic optimization of quantum annealing

Pratibha Raghupati Hegde, Gianluca Passarelli, Annarita Scocco +1

The study of optimal control of quantum annealing by modulating the pace of evolution and by introducing a counterdiabatic potential has gained significant attention in recent time…