Resource Assessment of Classical and Quantum Hardware for Post-Quench Dynamics
Abstract
We estimate the run-time and energy consumption of simulating nonequilibrium dynamics on neutral-atom quantum computers in analog mode, directly comparing their performance to classical methods, namely matrix product states and neural quantum states. By collecting both experimental data from a quantum processing unit (QPU) in analog mode and numerical benchmarks, we enable accurate predictions of run-time and energy consumption for large-scale simulations on both QPUs and classical systems through fitting of theoretical scaling laws. Our analysis shows that neutral-atom devices are already operating in a competitive regime, achieving comparable or superior performance to classical approaches while consuming significantly less energy. These results demonstrate the potential of analog neutral-atom quantum computing for energy-efficient simulation and highlight a viable path toward sustainable computational strategies.
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BibTeX
@article{vovrosh2026resource,
title = {{Resource Assessment of Classical and Quantum Hardware for Post-Quench Dynamics}},
author = {Joseph Vovrosh and Tiago Mendes-Santos and Hadriel Mamann and Kemal Bidzhiev and Fergus Hayes and Bruno Ximenez and Lucas Béguin and Constantin Dalyac and Alexandre Dauphin},
journal = {PRX Energy},
year = {2026},
month = jul,
doi = {10.1103/kfy5-q531},
url = {https://hal.science/hal-05774041v1},
note = {CC BY},
}
RIS
TY - JOUR
TI - Resource Assessment of Classical and Quantum Hardware for Post-Quench Dynamics
AU - Joseph Vovrosh
AU - Tiago Mendes-Santos
AU - Hadriel Mamann
AU - Kemal Bidzhiev
AU - Fergus Hayes
AU - Bruno Ximenez
AU - Lucas Béguin
AU - Constantin Dalyac
AU - Alexandre Dauphin
PY - 2026
DA - 2026/07/15
JO - PRX Energy
DO - 10.1103/kfy5-q531
UR - https://hal.science/hal-05774041v1
AB - We estimate the run-time and energy consumption of simulating nonequilibrium dynamics on neutral-atom quantum computers in analog mode, directly comparing their performance to classical methods, namely matrix product states and neural quantum states. By collecting both experimental data from a quantum processing unit (QPU) in analog mode and numerical benchmarks, we enable accurate predictions of run-time and energy consumption for large-scale simulations on both QPUs and classical systems through fitting of theoretical scaling laws. Our analysis shows that neutral-atom devices are already operating in a competitive regime, achieving comparable or superior performance to classical approaches while consuming significantly less energy. These results demonstrate the potential of analog neutral-atom quantum computing for energy-efficient simulation and highlight a viable path toward sustainable computational strategies.
SN - 2768-5608
ER -