Guang Hao Low
- Artificial Intelligence top 1%
- Quantum Computing Algorithms and Architecture 26
- Quantum Information and Cryptography 24
- Bayesian Modeling and Causal Inference 2
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- Quantum and electron transport phenomena 6
- Cold Atom Physics and Bose-Einstein Condensates 5
- Quantum Mechanics and Applications 5
- Quantum many-body systems 4
- Atomic and Subatomic Physics Research 2
- Hardware and Architecture top 10%
- Co-authors
- Isaac L. ChuangTheodore J. YoderMatthias TroyerDamian S. SteigerThomas HänerMarkus ReiherYuval R. SandersDominic W. Berry
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Physical Review Letters (7 papers)SHILAP Revista de lepidopterología (2 papers)Journal of Applied Physics (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Guang Hao Low
33 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 1.2k
- Atomic and Molecular Physics, and Optics 675
- Computational Theory and Mathematics 267
- Acoustics and Ultrasonics 7
- Hardware and Architecture 36
Countries citing papers authored by Guang Hao Low
This map shows the geographic impact of Guang Hao Low'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 Guang Hao Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Hao Low more than expected).
Fields of papers citing papers by Guang Hao Low
This network shows the impact of papers produced by Guang Hao Low. 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 Guang Hao Low. The network helps show where Guang Hao Low may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guang Hao Low, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 10 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 20 | |
| 9 | 2021 | 166 | |
| 10 | 2020 | 27 | |
| 11 | 2019 | 69 | |
| 12 | 2018 | 31 | |
| 13 | Optimal Hamiltonian Simulation by Quantum Signal Processingbreakdown → | 2017 | 438 |
| 14 | 2017 | 3 | |
| 15 | 2016 | 2 | |
| 16 | 2015 | 11 | |
| 17 | 2015 | 3 | |
| 18 | Optimal fixed-point quantum amplitude amplification using Chebyshev polynomials | 2014 | 1 |
| 19 | 2014 | 121 | |
| 20 | 2011 | 32 |
About Guang Hao Low
Guang Hao Low is a scholar working on Acoustics and Ultrasonics, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (26 papers), Quantum Information and Cryptography (24 papers), Quantum and electron transport phenomena (6 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers), Quantum Mechanics and Applications (5 papers), Quantum many-body systems (4 papers), Atomic and Subatomic Physics Research (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Atomic and Molecular Physics, and Optics (675 citations) and Computational Theory and Mathematics (267 citations). Guang Hao Low has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Isaac L. Chuang, Theodore J. Yoder, Matthias Troyer, Damian S. Steiger, Thomas Häner, Markus Reiher, Yuval R. Sanders, Dominic W. Berry, Artur Scherer and Martin Roetteler. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Journal of Applied Physics.
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.