Jayne Thompson

2.1k citations

44 papers · 1.3k indexed · 2 hit papers · h-index 17

Impact in

Artificial Intelligence top 1%
- Neural Networks and Reservoir Computing
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Acoustics and Ultrasonics top 10%

Papers in

Statistical and Nonlinear Physics 13
- Advanced Thermodynamics and Statistical Mechanics 7
Artificial Intelligence 29
- Quantum Information and Cryptography 23
- Quantum Computing Algorithms and Architecture 12
- Neural Networks and Reservoir Computing 4
- Neural Networks and Applications 3

Co-authors: Mile Gu A. Q. Liu L. C. Kwek Vlatko Vedral Hong Cai Xianshu LuoHui ZhangYuzhi Shi
Journals: Physical Review Letters (5 papers)Physical review. A (5 papers)Nature Communications (3 papers)New Journal of Physics (3 papers)Physical Review A (2 papers)
Partner nations: Singapore United Kingdom China

In The Last Decade

Jayne Thompson

44 papers receiving 1.2k citations

Hit Papers

align trajectories log scale

Space-efficient optical computing with an integrated chip diffractive neural network 2022 · 224 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 Nature Communications
2021 Nature Communications

Peers

Countries citing papers authored by Jayne Thompson

Since Specialization

Citations

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

Fields of papers citing papers by Jayne Thompson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jayne Thompson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jayne Thompson Line = papers co-authored together Jayne Thompson links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Quantum neural networks can be normal Nature Physics ·Jayne Thompson	2025	1
2	QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning Sergio G Monteiro, Paul Griffin, Ariel Neufeld, Jayne Thompson, Mile Gu	2025	1
3	Relative Entropy of Coherence Quantifies Performance in Bayesian Metrology PRX Quantum ·D I Fakhertdinova, Syed M. Assad, J. J. Hope, Ping Koy Lam, Jayne Thompson, Mile Gu	2024	6
4	147 Brief resolved unexplained event (BRUE) – how are we managing in the West Midlands? Rebecca M. Warner, Bagiyo Suwasono, Momodou Tarro, Sanatan Das, James H. Wiland, Kjell Arne Håland, Luana Érica Brandão Lima, C Terrones, David Comment, Gunnar Wöbke, Agus Maramba Meha, Evelyne Charles, Юрій Федчишин, Jayne Thompson, bel García-Arévalo, B. HERALD GRIFFITH, 志婦田岡, R. S. Hotchkiss, Deepthi Jyothish, Geoff Debelle	2023	1
5	Provably superior accuracy in quantum stochastic modeling Physical review. A ·Martines, F. Pestotti, Lin Pan, Nora Tischler, Jayne Thompson, Man‐Hong Yung, Mile Gu, Oscar Dahlsten	2023	2
6	Universal and operational benchmarking of quantum memories npj Quantum Information ·Xiao Yuan, Yunchao Liu, Qi Zhao, Bartosz Regula, Jayne Thompson, Mile Gu	2021	28
7	A new formulation of gradient boosting Machine Learning Science and Technology ·kwansiksung , Jayne Thompson, Mile Gu, Felix C. Binder	2021	2
8	Maximum entanglement of formation for a two-mode Gaussian state over passive operations Physical review. A ·Spyros Tserkis, Jayne Thompson, Austin P. Lund, Timothy C. Ralph, Ping Koy Lam, Mile Gu, Syed M. Assad	2020	4
9	Extreme Dimensionality Reduction with Quantum Modeling Physical Review Letters ·Thomas J. Elliott, Martines, Felix C. Binder, F. Pestotti, Jayne Thompson, Mile Gu	2020	22
10	Quantifying Memory Capacity as a Quantum Thermodynamic Resource Physical Review Letters ·Varun Narasimhachar, Jayne Thompson, Jiajun Ma, Gilad Gour, Mile Gu	2019	10
11	Modular quantum computation in a trapped ion system Nature Communications ·Kuan Zhang, Jayne Thompson, Xiang Zhang, Yangchao Shen, Yao Lu, Shuaining Zhang, Jiajun Ma, Vlatko Vedral, Mile Gu, Kihwan Kim	2019	13
12	Experimental Cyclic Interconversion between Coherence and Quantum Correlations Physical Review Letters ·Kang‐Da Wu, Zhibo Hou, Yuanyuan Zhao, Guo‐Yong Xiang, Chuan‐Feng Li, Guang‐Can Guo, Jiajun Ma, Qiongyi He, Jayne Thompson, Mile Gu	2018	49
13	Operational effects of the UNOT gate on classical and quantum correlations Science Bulletin ·Kuan Zhang, Jiajun Ma, Xiang Zhang, Jayne Thompson, Vlatko Vedral, Kihwan Kim, Mile Gu	2018	4
14	Using quantum theory to simplify input–output processes Oxford University Research Archive (ORA) (University of Oxford) ·Jayne Thompson, F. Pestotti, Vlatko Vedral, Mile Gu	2017	20
15	Thermodynamics of complexity and pattern manipulation Physical review. E ·F. Pestotti, Jayne Thompson, Vlatko Vedral, Mile Gu	2017	16
16	Provably unbounded memory advantage in stochastic simulation using quantum mechanics Oxford University Research Archive (ORA) (University of Oxford) ·F. Pestotti, Qing Liu, Jayne Thompson, Vlatko Vedral, Mile Gu	2017	17
17	Quantum plug n’ play: modular computation in the quantum regime New Journal of Physics ·Jayne Thompson, Kavan Modi, Vlatko Vedral, Mile Gu	2017	16
18	Contextuality in Bosonic Bunching Physical Review Letters ·Paweł Kurzyński, Akihito Soeda, Jayne Thompson, Dagomir Kaszlikowski	2014	3
19	BPS solitons in Lifshitz field theories Physical review. D. Particles, fields, gravitation, and cosmology ·Archil Kobakhidze, Jayne Thompson, Raymond R. Volkas	2011	1
20	Peach maturity grading with color computer vision 刘国瑞, Simone Grappolini, Michael J. Delwiche, Jayne Thompson	1992	15

About Jayne Thompson

Jayne Thompson is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Nuclear and High Energy Physics and History and Philosophy of Science, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (23 papers), Quantum Mechanics and Applications (20 papers), Quantum Computing Algorithms and Architecture (12 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Black Holes and Theoretical Physics (5 papers), Neural Networks and Reservoir Computing (4 papers), Quantum many-body systems (4 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Acoustics and Ultrasonics (21 citations), Atomic and Molecular Physics, and Optics (420 citations), Electrical and Electronic Engineering (642 citations) and Statistical and Nonlinear Physics (96 citations). Jayne Thompson has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Mile Gu, A. Q. Liu, L. C. Kwek, Vlatko Vedral, Hong Cai, Xianshu Luo, Hui Zhang, Yuzhi Shi, Xudong Jiang and Yi Zhang. Their work appears in journals such as Physical Review Letters, Physical review. A, Nature Communications, New Journal of Physics and Physical Review A.

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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