| Issue |
EPJ Web Conf.
Volume 322, 2025
7th International Workshop on Compound-Nuclear Reactions and Related Topics (CNR*24)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 4 | |
| Section | Nuclear Reaction Methods: R-matrix, Surrogate, Quantum Computing | |
| DOI | https://doi.org/10.1051/epjconf/202532203002 | |
| Published online | 14 March 2025 | |
https://doi.org/10.1051/epjconf/202532203002
Quantum computing for nuclear reactions
Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico, 87545, USA
* e-mail: stetcu@lanl.gov
Published online: 14 March 2025
Description of quantum many-body dynamics is extremely challenging on classical computers, as it requires taking into account many degrees of freedom. In nuclear physics, this translates on a large number of break up channels that have to be taken into account depending on available energy. Even using classical computing exascale capabilities will not allow a full description of dynamical processes starting from internucleon interactions beyond drastic approximations. On the other hand, the dynamics can be naturally implemented on quantum hardware that is designed to easily handle unitary transformations, and hence the hope that in the future we will be able to obtain reaction observables from first principles. In this contribution, I describe the main steps involved in quantum algorithms and review our efforts to apply quantum computing to the nuclear many-body problem using realistic inter-nucleon interactions.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.