Evidence map›Paper›PMID 38820000›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Quantum computation of stopping power for inertial fusion target design.

Nicholas C Rubin, Dominic W Berry, Alina Kononov, Fionn D Malone, Tanuj Khattar, Alec White, Joonho Lee, Hartmut Neven, Ryan Babbush, Andrew D Baczewski

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Roadmap for Molecular Benchmarks in Nonadiabatic Dynamics.The journal of physical chemistry. A · 2025
    Review
  3. Article
  4. Quantum computation of stopping power for inertial fusion target design.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nicholas C RubinGoogle Quantum AI, Google Research, Venice, CA 90291.
Dominic W BerrySchool of Mathematical and Physical Sciences, Macquarie University, Sydney, NSW 2109, Australia.
Alina KononovQuantum Algorithms and Applications Collaboratory, Sandia National Laboratories, Albuquerque, NM 87185.
Fionn D MaloneGoogle Quantum AI, Google Research, Venice, CA 90291.
Tanuj KhattarGoogle Quantum AI, Google Research, Venice, CA 90291.
Alec WhiteQuantum Simulation Technologies Inc., Boston, MA 02135.
Joonho LeeGoogle Quantum AI, Google Research, Venice, CA 90291.
Hartmut NevenGoogle Quantum AI, Google Research, Venice, CA 90291.
Ryan BabbushGoogle Quantum AI, Google Research, Venice, CA 90291.ORCID 0000-0001-6979-9533
Andrew D BaczewskiQuantum Algorithms and Applications Collaboratory, Sandia National Laboratories, Albuquerque, NM 87185.ORCID 0000-0001-8553-9934

Funding

Australian Research Council Discovery Project DP210101367National Science Foundation (NSF) PHY-1748958Wellcome Trust 222396
6 · The paper itself

Abstract

Stopping power is the rate at which a material absorbs the kinetic energy of a charged particle passing through it-one of many properties needed over a wide range of thermodynamic conditions in modeling inertial fusion implosions. First-principles stopping calculations are classically challenging because they involve the dynamics of large electronic systems far from equilibrium, with accuracies that are particularly difficult to constrain and assess in the warm-dense conditions preceding ignition. Here, we describe a protocol for using a fault-tolerant quantum computer to calculate stopping power from a first-quantized representation of the electrons and projectile. Our approach builds upon the electronic structure block encodings of Su et al. [

Indexed as

algorithmsfault-tolerancefusionquantum computingstopping-power

Identifiers

PMID38820000
PMCPMC11161767

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.