Eric R. Anschuetz

1.5k total citations · 2 hit papers
13 papers, 800 citations indexed

About

Eric R. Anschuetz is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Eric R. Anschuetz has authored 13 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Eric R. Anschuetz's work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (4 papers) and Neural Networks and Reservoir Computing (3 papers). Eric R. Anschuetz is often cited by papers focused on Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (4 papers) and Neural Networks and Reservoir Computing (3 papers). Eric R. Anschuetz collaborates with scholars based in United States, Germany and Argentina. Eric R. Anschuetz's co-authors include Bobak T. Kiani, Mikhail D. Lukin, Crystal Senko, Alexandre Krajenbrink, Manuel Endres, Markus Greiner, Hannes Bernien, Alexander Keesling, Vladan Vuletić and Harry Levine and has published in prestigious journals such as Science, Nature Communications and Communications in Mathematical Physics.

In The Last Decade

Eric R. Anschuetz

11 papers receiving 771 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Atom-by-atom assembly of defect-free one-dimensional cold atom arrays

2016 559 citations Manuel Endres, Hannes Bernien et al. Science profile →
Quantum variational algorithms are swamped with traps

2022 145 citations Eric R. Anschuetz, Bobak T. Kiani Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eric R. Anschuetz United States	6	613	514	51	44	37	13	800
Geoff Gillett Australia	6	610 1.0×	688 1.3×	84 1.6×	56 1.3×	38 1.0×	9	813
Dong Ruan China	13	454 0.7×	403 0.8×	73 1.4×	42 1.0×	16 0.4×	62	689
M. Meth Austria	7	459 0.7×	559 1.1×	92 1.8×	68 1.5×	20 0.5×	23	711
Vincent Lienhard France	6	883 1.4×	536 1.0×	45 0.9×	11 0.3×	31 0.8×	7	961
Brian Lester United States	12	618 1.0×	639 1.2×	37 0.7×	18 0.4×	12 0.3×	23	868
Loïc Henriet France	13	550 0.9×	372 0.7×	43 0.8×	17 0.4×	32 0.9×	27	670
Martin Kiffner United Kingdom	19	956 1.6×	649 1.3×	162 3.2×	42 1.0×	24 0.6×	46	1.2k
Christian D. Marciniak Austria	8	453 0.7×	510 1.0×	95 1.9×	56 1.3×	39 1.1×	16	677
Thomas Feldker Germany	11	592 1.0×	480 0.9×	63 1.2×	47 1.1×	23 0.6×	15	761
Keqiang Huang China	9	717 1.2×	632 1.2×	46 0.9×	36 0.8×	24 0.6×	13	835

Countries citing papers authored by Eric R. Anschuetz

Since Specialization

Citations

This map shows the geographic impact of Eric R. Anschuetz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric R. Anschuetz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric R. Anschuetz more than expected).

Fields of papers citing papers by Eric R. Anschuetz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric R. Anschuetz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric R. Anschuetz. The network helps show where Eric R. Anschuetz may publish in the future.

Co-authorship network of co-authors of Eric R. Anschuetz

This figure shows the co-authorship network connecting the top 25 collaborators of Eric R. Anschuetz. A scholar is included among the top collaborators of Eric R. Anschuetz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric R. Anschuetz. Eric R. Anschuetz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Cerezo, M., Martín Larocca, Diego García-Martín, et al.. (2025). Does provable absence of barren plateaus imply classical simulability?. Nature Communications. 16(1). 7907–7907. 13 indexed citations

2.

Anschuetz, Eric R., David Gamarnik, & Bobak T. Kiani. (2025). Bounds on the Ground State Energy of Quantum p-Spin Hamiltonians. Communications in Mathematical Physics. 406(10). 1 indexed citations

3.

Anschuetz, Eric R., David Gamarnik, & Bobak T. Kiani. (2024). Combinatorial NLTS From the Overlap Gap Property. Quantum. 8. 1527–1527.

4.

Anschuetz, Eric R., et al.. (2024). Quantifying the Limits of Classical Machine Learning Models Using Contextuality. 628–630.

5.

Anschuetz, Eric R., et al.. (2023). Interpretable Quantum Advantage in Neural Sequence Learning. PRX Quantum. 4(2). 13 indexed citations

6.

Anschuetz, Eric R., et al.. (2023). Efficient classical algorithms for simulating symmetric quantum systems. Quantum. 7. 1189–1189. 18 indexed citations

7.

Anschuetz, Eric R. & Bobak T. Kiani. (2022). Quantum variational algorithms are swamped with traps. Nature Communications. 13(1). 7760–7760. 145 indexed citations breakdown →

8.

Anschuetz, Eric R., et al.. (2022). Degeneracy Engineering for Classical and Quantum Annealing: A Case Study of Sparse Linear Regression in Collider Physics. arXiv (Cornell University). 2 indexed citations

9.

Gao, Xun, Eric R. Anschuetz, Sheng-Tao Wang, J. I. Cirac, & Mikhail D. Lukin. (2022). Enhancing Generative Models via Quantum Correlations. Physical Review X. 12(2). 38 indexed citations

10.

Tomesh, Teague, et al.. (2022). Training Quantum Boltzmann Machines with Coresets. 1. 292–298. 1 indexed citations

11.

Anschuetz, Eric R., et al.. (2021). Using Spectral Graph Theory to Map Qubits onto Connectivity-limited Devices. arXiv (Cornell University). 2(1). 1–30. 5 indexed citations

12.

Anschuetz, Eric R., et al.. (2019). Near-term quantum-classical associative adversarial networks. Physical review. A. 100(5). 5 indexed citations

13.

Endres, Manuel, Hannes Bernien, Alexander Keesling, et al.. (2016). Atom-by-atom assembly of defect-free one-dimensional cold atom arrays. Science. 354(6315). 1024–1027. 559 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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