Josh Izaac
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computational Theory and Mathematics top 2%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Nathan KilloranMaria SchuldVille BergholmChristian GogolinJames StokesGiuseppe CarleoNicolás QuesadaAndrea Mari
- Topics
- Quantum Computing Algorithms and Architecture (18 papers)Quantum Information and Cryptography (16 papers)Neural Networks and Reservoir Computing (6 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Josh Izaac
20 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 1.4k
- Atomic and Molecular Physics, and Optics 534
- Computational Theory and Mathematics 218
- Electrical and Electronic Engineering 200
- Statistical and Nonlinear Physics 65
Countries citing papers authored by Josh Izaac
This map shows the geographic impact of Josh Izaac'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 Josh Izaac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josh Izaac more than expected).
Fields of papers citing papers by Josh Izaac
This network shows the impact of papers produced by Josh Izaac. 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 Josh Izaac. The network helps show where Josh Izaac may publish in the future.
Co-authorship network of co-authors of Josh Izaac
This figure shows the co-authorship network connecting the top 25 collaborators of Josh Izaac. A scholar is included among the top collaborators of Josh Izaac 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 Josh Izaac. Josh Izaac is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 5 | |
| 3 | 22 | |
| 4 | 14 | |
| 5 | Quantum Natural Gradientbreakdown → | 253 |
| 6 | 214 | |
| 7 | Evaluating analytic gradients on quantum hardwarebreakdown → | 577 |
| 8 | 159 | |
| 9 | 48 | |
| 10 | 37 | |
| 11 | 57 | |
| 12 | 19 | |
| 13 | 3 | |
| 14 | 33 | |
| 15 | Reconfigurable magnetic domain wall pinning using vortex-generated magnetic fields | 6 |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 16 | |
| 19 | 14 | |
| 20 | 24 |
About Josh Izaac
Josh Izaac is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (18 papers), Quantum Information and Cryptography (16 papers) and Neural Networks and Reservoir Computing (6 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Atomic and Molecular Physics, and Optics (534 citations) and Computational Theory and Mathematics (218 citations). Josh Izaac has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Nathan Killoran, Maria Schuld, Ville Bergholm, Christian Gogolin, James Stokes, Giuseppe Carleo, Nicolás Quesada, Andrea Mari, Thomas R. Bromley and Jingbo Wang. Their work appears in journals such as Physical Review Letters, Physical Review A and Computer Physics Communications.
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.