Evidence map›Paper›PMID 41908635›Full record

ArticleChemical science2026

Constrained shadow tomography for molecular simulation on quantum devices.

Irma Avdic, Yuchen Wang, Michael Rose, Lillian I Payne Torres, Anna O Schouten, Kevin J Sung, David A Mazziotti

Abstract read
In one paragraph

Article in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Irma AvdicDepartment of Chemistry, The James Franck Institute, The University of Chicago Chicago IL 60637 USA damazz@uchicago.edu.ORCID https://orcid.org/0000-0002-0731-9693
Yuchen WangDepartment of Chemistry, The James Franck Institute, The University of Chicago Chicago IL 60637 USA damazz@uchicago.edu.ORCID https://orcid.org/0000-0003-0479-3776
Michael RoseDepartment of Chemistry, The James Franck Institute, The University of Chicago Chicago IL 60637 USA damazz@uchicago.edu.ORCID https://orcid.org/0009-0000-1722-1932
Lillian I Payne TorresDepartment of Chemistry, The James Franck Institute, The University of Chicago Chicago IL 60637 USA damazz@uchicago.edu.ORCID https://orcid.org/0009-0005-9070-2202
Anna O SchoutenDepartment of Chemistry, The James Franck Institute, The University of Chicago Chicago IL 60637 USA damazz@uchicago.edu.ORCID https://orcid.org/0000-0002-6425-5219
Kevin J SungIBM Quantum, IBM T.J. Watson Research Center Yorktown Heights NY 10598 USA kevinsung@ibm.com.
David A MazziottiDepartment of Chemistry, The James Franck Institute, The University of Chicago Chicago IL 60637 USA damazz@uchicago.edu.ORCID https://orcid.org/0000-0002-9938-3886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantum state tomography is a fundamental task in quantum information science, enabling detailed characterization of correlations, entanglement, and electronic structure in quantum systems. However, its exponential measurement and computational demands limit scalability, motivating efficient alternatives such as classical shadows, which enable accurate prediction of many observables from randomized measurements. In this work, we introduce a bi-objective semidefinite programming approach for constrained shadow tomography, designed to reconstruct the two-particle reduced density matrix (2-RDM) from noisy or incomplete shadow data. By integrating

Identifiers

PMID41908635
PMCPMC13023410

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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.