Jacob Miller

716 total citations
14 papers, 307 citations indexed

About

Jacob Miller is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computational Mathematics. According to data from OpenAlex, Jacob Miller has authored 14 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 8 papers in Artificial Intelligence and 2 papers in Computational Mathematics. Recurrent topics in Jacob Miller's work include Quantum many-body systems (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum Information and Cryptography (3 papers). Jacob Miller is often cited by papers focused on Quantum many-body systems (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Quantum Information and Cryptography (3 papers). Jacob Miller collaborates with scholars based in United States, Canada and Germany. Jacob Miller's co-authors include Akimasa Miyake, E. K. Brown, R. E. Asher, Ethan Anderes, Manuel S. Rudolph, Alejandro Perdomo‐Ortiz, Jing Chen, Stephen Sanders, Jing Chen and Jayaraman J. Thiagarajan and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical review. A.

In The Last Decade

Jacob Miller

13 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Miller United States 9 186 144 66 25 24 14 307
Michael Rosner Malta 9 166 0.9× 52 0.4× 45 0.7× 18 0.7× 11 0.5× 28 260
Solomon Marcus Romania 9 96 0.5× 5 0.0× 28 0.4× 14 0.6× 86 3.6× 69 250
Paul Weingartner Austria 8 85 0.5× 31 0.2× 7 0.1× 37 1.5× 50 2.1× 58 211
Wilfried Sieg United States 13 302 1.6× 38 0.3× 6 0.1× 96 3.8× 306 12.8× 41 546
Nicholas J. J. Smith Australia 9 133 0.7× 32 0.2× 14 0.2× 183 7.3× 84 3.5× 27 322
Karl Weilhammer Germany 11 568 3.1× 52 0.4× 9 0.1× 35 1.4× 21 637
Laura Alonso Alemany Argentina 9 104 0.6× 10 0.1× 13 0.2× 9 0.4× 2 0.1× 44 173
Israel Kleiner Canada 12 22 0.1× 21 0.1× 5 0.1× 13 0.5× 33 1.4× 38 344
Colin McLarty United States 10 83 0.4× 8 0.1× 12 0.2× 60 2.4× 90 3.8× 38 312

Countries citing papers authored by Jacob Miller

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Miller

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

All Works

14 of 14 papers shown
1.
Chen, Jing, et al.. (2025). Generative learning of continuous data by tensor networks. SciPost Physics. 18(3).
2.
Rudolph, Manuel S., et al.. (2023). Synergistic pretraining of parametrized quantum circuits via tensor networks. Nature Communications. 14(1). 8367–8367. 41 indexed citations
3.
Miller, Jacob, et al.. (2021). Quantum Tensor Networks, Stochastic Processes, and Weighted Automata. International Conference on Artificial Intelligence and Statistics. 2080–2088. 1 indexed citations
4.
Miller, Jacob, et al.. (2020). Tensor Networks for Language Modeling.. 1 indexed citations
5.
Miller, Jacob & Akimasa Miyake. (2018). Latent Computational Complexity of Symmetry-Protected Topological Order with Fractional Symmetry. Physical Review Letters. 120(17). 170503–170503. 20 indexed citations
6.
Miller, Jacob, Stephen Sanders, & Akimasa Miyake. (2017). Quantum supremacy in constant-time measurement-based computation: A unified architecture for sampling and verification. Physical review. A. 96(6). 15 indexed citations
7.
Miller, Jacob, et al.. (2017). Data-Driven Metric Learning for History Matching. SPE Reservoir Simulation Conference. 2 indexed citations
8.
Miller, Jacob & Akimasa Miyake. (2016). Hierarchy of universal entanglement in 2D measurement-based quantum computation. npj Quantum Information. 2(1). 57 indexed citations
9.
Anderes, Ethan, et al.. (2016). Discrete Wasserstein barycenters: optimal transport for discrete data. Mathematical Methods of Operations Research. 84(2). 389–409. 34 indexed citations
10.
Miller, Jacob & Akimasa Miyake. (2015). Quantum computation on domain walls of a two-dimensional symmetry-protected topological order. arXiv (Cornell University). 1 indexed citations
11.
Miller, Jacob & Akimasa Miyake. (2015). Resource Quality of a Symmetry-Protected Topologically Ordered Phase for Quantum Computation. Physical Review Letters. 114(12). 120506–120506. 43 indexed citations
12.
Miller, Jacob. (2011). A critical introduction to syntax. Continuum eBooks. 21 indexed citations
13.
Brown, E. K., Jacob Miller, & R. E. Asher. (1999). Concise encyclopedia of grammatical categories. Elsevier eBooks. 45 indexed citations
14.
Brown, E. K. & Jacob Miller. (1996). Concise Encyclopedia of Syntactic Theories. Medical Entomology and Zoology. 26 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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