Stephen P. Jordan

4.7k total citations · 1 hit paper
49 papers, 1.8k citations indexed

About

Stephen P. Jordan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Stephen P. Jordan has authored 49 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 24 papers in Atomic and Molecular Physics, and Optics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Stephen P. Jordan's work include Quantum Computing Algorithms and Architecture (36 papers), Quantum Information and Cryptography (24 papers) and Quantum Mechanics and Applications (6 papers). Stephen P. Jordan is often cited by papers focused on Quantum Computing Algorithms and Architecture (36 papers), Quantum Information and Cryptography (24 papers) and Quantum Mechanics and Applications (6 papers). Stephen P. Jordan collaborates with scholars based in United States, Netherlands and Canada. Stephen P. Jordan's co-authors include Keith S. M. Lee, John Preskill, R. Loll, Peter W. Shor, Edward Farhi, Peter J. Love, Ivan Kassal, Alán Aspuru‐Guzik, Masoud Mohseni and J. Ambjørn and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Stephen P. Jordan

47 papers receiving 1.7k 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.

Quantum Algorithms for Quantum Field Theories

2012 311 citations Stephen P. Jordan, Keith S. M. Lee et al. Science profile →

Peers

Stephen P. Jordan

AI

AMPO

NHEP

SNP

CTM

Joshua M. Lapan United States

Fernando Pastawski Germany

Beni Yoshida United States

Jordan Cotler United States

Tameem Albash United States

Patrick Hayden United States

Paul Hess United States

Jeongwan Haah United States

M. A. Jafarizadeh Iran

Armin Uhlmann Germany

Joshua M. Lapan United States

Stephen P. Jordan

1.1k ×0.9

AI

698 ×0.8

AMPO

238 ×0.7

NHEP

185 ×0.6

SNP

229 ×1.0

CTM

Citations per year, relative to Stephen P. Jordan Stephen P. Jordan (= 1×) peers Joshua M. Lapan

Countries citing papers authored by Stephen P. Jordan

Since Specialization

Citations

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

Fields of papers citing papers by Stephen P. Jordan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen P. Jordan. 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 Stephen P. Jordan. The network helps show where Stephen P. Jordan may publish in the future.

Co-authorship network of co-authors of Stephen P. Jordan

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

All Works

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20 of 20 papers shown

1.

Jordan, Stephen P., Noah Shutty, Mary Wootters, et al.. (2025). Optimization by decoded quantum interferometry. Nature. 646(8086). 831–836. 3 indexed citations

2.

Farhi, Edward & Stephen P. Jordan. (2024). Efficiently constructing a quantum uniform superposition over bit strings near a binary linear code. Quantum Information and Computation. 24(15&16). 1326–1355. 1 indexed citations

3.

Hu, Siyuan, Stephen P. Jordan, Rasim Boyacıoğlu, et al.. (2023). A fast MR fingerprinting simulator for direct error estimation and sequence optimization. Magnetic Resonance Imaging. 98. 105–114. 4 indexed citations

4.

Bao, Ning, et al.. (2023). Variational quantum simulation of the critical Ising model with symmetry averaging. Physical review. A. 107(4). 3 indexed citations

5.

Pagano, Guido, Aniruddha Bapat, Patrick Becker, et al.. (2020). Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator. Proceedings of the National Academy of Sciences. 117(41). 25396–25401. 146 indexed citations

6.

Pagano, Guido, Aniruddha Bapat, Patrick Becker, et al.. (2019). Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator. arXiv (Cornell University). 6 indexed citations

7.

Jordan, Stephen P.. (2017). Arbitrarily fast quantum computation with bounded energy. Physical Review A. 95. 1 indexed citations

8.

Jordan, Stephen P.. (2017). Fast quantum computation at arbitrarily low energy. Physical review. A. 95(3). 17 indexed citations

9.

Bao, Ning, Raphael Bousso, Stephen P. Jordan, & Brad Lackey. (2017). Fast optimization algorithms and the cosmological constant. Physical review. D. 96(10). 12 indexed citations

10.

Jordan, Stephen P.. (2016). Black holes, quantum mechanics, and the limits of polynomial-time computability. XRDS Crossroads The ACM Magazine for Students. 23(1). 30–33.

11.

Bao, Ning, Adam Bouland, & Stephen P. Jordan. (2016). Grover Search and the No-Signaling Principle. Physical Review Letters. 117(12). 120501–120501. 16 indexed citations

12.

Jordan, Stephen P., et al.. (2015). Adiabatic optimization without local minima. Quantum Information and Computation. 15(3). 181–199. 3 indexed citations

13.

Jordan, Stephen P., et al.. (2012). Quantum nonexpander problem is quantum-Merlin-Arthur-complete. arXiv (Cornell University). 1 indexed citations

14.

Jordan, Stephen P., Keith S. M. Lee, & John Preskill. (2012). Quantum Algorithms for Quantum Field Theories. Science. 336(6085). 1130–1133. 311 indexed citations breakdown →

15.

Ambjørn, J., Stephen P. Jordan, J. Jurkiewicz, & R. Loll. (2011). Second-Order Phase Transition in Causal Dynamical Triangulations. Physical Review Letters. 107(21). 211303–211303. 67 indexed citations

16.

Jordan, Stephen P., Peter J. Love, & David Gosset. (2010). Quantum-Merlin-Arthur-complete problems for stoquastic Hamiltonians and Markov matrices. APS. 81(3). 32331. 10 indexed citations

17.

Jordan, Stephen P. & Paweł Wocjan. (2009). Estimating Jones and Homfly polynomials with one clean qubit. Quantum Information and Computation. 9(3). 264–289. 5 indexed citations

18.

Shor, Peter W. & Stephen P. Jordan. (2008). Estimating Jones polynomials is a complete problem for one clean qubit. Quantum Information and Computation. 8(8). 681–714. 38 indexed citations

19.

Jordan, Stephen P.. (2005). Fast Quantum Algorithm for Numerical Gradient Estimation. Physical Review Letters. 95(5). 50501–50501. 58 indexed citations

20.

Jordan, Stephen P. & Vincent H. Crespi. (2004). Theory of Carbon Nanocones: Mechanical Chiral Inversion of a Micron-Scale Three-Dimensional Object. Physical Review Letters. 93(25). 255504–255504. 82 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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