Teague Tomesh

591 total citations
17 papers, 207 citations indexed

About

Teague Tomesh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Teague Tomesh has authored 17 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Teague Tomesh's work include Quantum Computing Algorithms and Architecture (14 papers), Quantum Information and Cryptography (12 papers) and Quantum-Dot Cellular Automata (4 papers). Teague Tomesh is often cited by papers focused on Quantum Computing Algorithms and Architecture (14 papers), Quantum Information and Cryptography (12 papers) and Quantum-Dot Cellular Automata (4 papers). Teague Tomesh collaborates with scholars based in United States, Canada and India. Teague Tomesh's co-authors include Margaret Martonosi, Pranav Gokhale, Martin Suchara, Frederic T. Chong, Yongshan Ding, Zain H. Saleem, Nikos Hardavellas, Gokul Subramanian Ravi, Kaitlin N. Smith and Xin-Chuan Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Micro and Nature Cancer.

In The Last Decade

Teague Tomesh

12 papers receiving 199 citations

Peers

Teague Tomesh

AI

AMPO

CTM

EEE

HA

Alexander Cowtan United Kingdom

Daniel Bochen Tan United States

Silas Dilkes United Kingdom

Seyon Sivarajah United Kingdom

Vicente Leyton‐Ortega United States

Leo Zhou United States

Ophelia Crawford United Kingdom

Aniruddha Bapat United States

F. A. Calderon-Vargas United States

David Francois United States

Alexander Cowtan United Kingdom

Teague Tomesh

254 ×1.3

AI

79 ×0.9

AMPO

63 ×1.4

CTM

54 ×1.9

EEE

46 ×2.4

HA

Citations per year, relative to Teague Tomesh Teague Tomesh (= 1×) peers Alexander Cowtan

Countries citing papers authored by Teague Tomesh

Since Specialization

Citations

This map shows the geographic impact of Teague Tomesh'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 Teague Tomesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teague Tomesh more than expected).

Fields of papers citing papers by Teague Tomesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teague Tomesh. 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 Teague Tomesh. The network helps show where Teague Tomesh may publish in the future.

Co-authorship network of co-authors of Teague Tomesh

This figure shows the co-authorship network connecting the top 25 collaborators of Teague Tomesh. A scholar is included among the top collaborators of Teague Tomesh 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 Teague Tomesh. Teague Tomesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

1.

Campbell, Colin, et al.. (2025). Efficient sparse state preparation via quantum walks. npj Quantum Information. 11(1).

2.

Ramesh, Siddhi, Teague Tomesh, Samantha J. Riesenfeld, Frederic T. Chong, & Alexander T. Pearson. (2024). Quantum computing for oncology. Nature Cancer. 5(6). 811–816. 2 indexed citations

3.

Campbell, Colin, et al.. (2024). Arbitrary State Preparation via Quantum Walks. 616–617.

4.

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

5.

Gokhale, Pranav, et al.. (2024). Deep Learning for Low-Latency, Quantum-Ready RF Sensing. 1324–1335.

6.

Tomesh, Teague, et al.. (2024). Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization. 545–551.

7.

Tomesh, Teague, et al.. (2024). Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms. Quantum. 8. 1493–1493. 2 indexed citations

8.

Stein, Samuel, Teague Tomesh, Wei Tang, et al.. (2023). HetArch: Heterogeneous Microarchitectures for Superconducting Quantum Systems. 539–554. 6 indexed citations

9.

Saleem, Zain H., et al.. (2023). Approaches to Constrained Quantum Approximate Optimization. SN Computer Science. 4(2). 10 indexed citations

10.

Tomesh, Teague, Zain H. Saleem, Michael A. Perlin, et al.. (2023). Divide and Conquer for Combinatorial Optimization and Distributed Quantum Computation. 1–12. 10 indexed citations

11.

Tomesh, Teague, Pranav Gokhale, Gokul Subramanian Ravi, et al.. (2022). SupermarQ: A Scalable Quantum Benchmark Suite. 587–603. 64 indexed citations

12.

Tomesh, Teague, Zain H. Saleem, & Martin Suchara. (2022). Quantum Local Search with the Quantum Alternating Operator Ansatz. Quantum. 6. 781–781. 10 indexed citations

13.

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

14.

Tomesh, Teague & Margaret Martonosi. (2021). Quantum Codesign. IEEE Micro. 41(5). 33–40. 15 indexed citations

15.

Tomesh, Teague, Pranav Gokhale, Yunong Shi, et al.. (2021). Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 47. 1–13. 2 indexed citations

16.

Gokhale, Pranav, Yongshan Ding, Teague Tomesh, et al.. (2020).

$O(N^3)$

Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians. SHILAP Revista de lepidopterología. 69 indexed citations

17.

Gokhale, Pranav, Yongshan Ding, Teague Tomesh, et al.. (2020). Optimization of Simultaneous Measurement for Variational Quantum Eigensolver Applications. 379–390. 16 indexed citations

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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