Ish Dhand

2.0k total citations · 1 hit paper
21 papers, 1.2k citations indexed

About

Ish Dhand is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Ish Dhand has authored 21 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 14 papers in Atomic and Molecular Physics, and Optics and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Ish Dhand's work include Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (10 papers) and Neural Networks and Reservoir Computing (8 papers). Ish Dhand is often cited by papers focused on Quantum Information and Cryptography (13 papers), Quantum Computing Algorithms and Architecture (10 papers) and Neural Networks and Reservoir Computing (8 papers). Ish Dhand collaborates with scholars based in Germany, Canada and Australia. Ish Dhand's co-authors include Martin B. Plenio, Trevor Vincent, Lars S. Madsen, Nicolás Quesada, Jonathan Lavoie, Z. Vernon, L. G. Helt, Adriana E. Lita, Thomas Gerrits and Matthew J. Collins and has published in prestigious journals such as Nature, Physical Review Letters and Nature Physics.

In The Last Decade

Ish Dhand

21 papers receiving 1.2k citations

Hit Papers

Quantum computational advantage with a programmable photo... 2022 2026 2023 2024 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ish Dhand Germany 13 911 727 276 98 56 21 1.2k
Jonas Bylander Sweden 20 1.2k 1.3× 1.5k 2.0× 294 1.1× 141 1.4× 43 0.8× 48 1.7k
Aaron P. VanDevender United States 12 833 0.9× 1.2k 1.6× 203 0.7× 105 1.1× 16 0.3× 25 1.4k
Charles D. Hill Australia 22 810 0.9× 1.0k 1.4× 333 1.2× 332 3.4× 110 2.0× 60 1.5k
Jonathan Lavoie Canada 17 1.1k 1.2× 986 1.4× 306 1.1× 64 0.7× 59 1.1× 51 1.6k
Hsi‐Sheng Goan Taiwan 23 1.2k 1.3× 1.6k 2.2× 452 1.6× 98 1.0× 32 0.6× 93 1.8k
Kaveh Khodjasteh United States 14 917 1.0× 1.1k 1.5× 102 0.4× 82 0.8× 27 0.5× 17 1.2k
Varun Vaidya United States 17 699 0.8× 865 1.2× 209 0.8× 33 0.3× 51 0.9× 30 1.5k
Dawei Lu China 22 896 1.0× 926 1.3× 72 0.3× 83 0.8× 69 1.2× 62 1.2k
Xiaobo Zhu China 19 1.2k 1.3× 1.4k 2.0× 154 0.6× 201 2.1× 66 1.2× 38 1.7k
Joseph F. Fitzsimons Singapore 22 1.9k 2.1× 1.5k 2.0× 226 0.8× 61 0.6× 135 2.4× 53 2.1k

Countries citing papers authored by Ish Dhand

Since Specialization
Citations

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

Fields of papers citing papers by Ish Dhand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ish Dhand

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

All Works

20 of 20 papers shown
1.
Dhand, Ish, et al.. (2025). Boosted Bell-state measurements for photonic quantum computation. npj Quantum Information. 11(1). 2 indexed citations
2.
Madsen, Lars S., Fabian Laudenbach, Fabien Rortais, et al.. (2022). Quantum computational advantage with a programmable photonic processor. Nature. 606(7912). 75–81. 603 indexed citations breakdown →
3.
Meyer-Scott, Evan, Ish Dhand, Christof Eigner, et al.. (2022). Scalable Generation of Multiphoton Entangled States by Active Feed-Forward and Multiplexing. Physical Review Letters. 129(15). 150501–150501. 34 indexed citations
4.
Su, Daiqin, Ish Dhand, & Timothy C. Ralph. (2022). Universal quantum computation with optical four-component cat qubits. Physical review. A. 106(4). 7 indexed citations
5.
Vincent, Trevor, et al.. (2022). Jet: Fast quantum circuit simulations with parallel task-based tensor-network contraction. Quantum. 6. 709–709. 28 indexed citations
6.
Deshpande, Abhinav, Trevor Vincent, Nicolás Quesada, et al.. (2022). Quantum computational advantage via high-dimensional Gaussian boson sampling. Science Advances. 8(1). eabi7894–eabi7894. 70 indexed citations
7.
Tzitrin, Ilan, Rafael N. Alexander, J. Eli Bourassa, et al.. (2021). Fault-Tolerant Quantum Computation with Static Linear Optics. PRX Quantum. 2(4). 45 indexed citations
8.
Dhand, Ish, et al.. (2021). Efficient construction of matrix-product representations of many-body Gaussian states. Physical review. A. 104(1). 4 indexed citations
9.
Smirne, Andrea, Thomas Nitsche, Dario Egloff, et al.. (2020). Experimental control of the degree of non-classicality via quantum coherence. Quantum Science and Technology. 5(4). 04LT01–04LT01. 6 indexed citations
10.
Dhand, Ish, et al.. (2020). Unitary matrix decompositions for optimal and modular linear optics architectures. Journal of Physics A Mathematical and Theoretical. 54(4). 45301–45301. 7 indexed citations
11.
Dhand, Ish, et al.. (2020). Efficient simulation of open quantum systems coupled to a fermionic bath. Physical review. B.. 101(15). 34 indexed citations
12.
Engelkemeier, M., Benjamin Brecht, Ish Dhand, et al.. (2020). Quantum photonics with active feedback loops. Physical review. A. 102(2). 6 indexed citations
13.
Su, Daiqin, Ish Dhand, L. G. Helt, Z. Vernon, & Kamil Brádler. (2019). Hybrid spatiotemporal architectures for universal linear optics. Physical review. A. 99(6). 9 indexed citations
14.
Dhand, Ish, M. Engelkemeier, Linda Sansoni, et al.. (2018). Proposal for Quantum Simulation via All-Optically-Generated Tensor Network States. Physical Review Letters. 120(13). 130501–130501. 27 indexed citations
15.
Schwartz, Ilai, Jochen Scheuer, Qiong Chen, et al.. (2018). Robust optical polarization of nuclear spin baths using Hamiltonian engineering of nitrogen-vacancy center quantum dynamics. Science Advances. 4(8). eaat8978–eaat8978. 84 indexed citations
16.
Lanyon, B. P., Christine Maier, Tillmann Baumgratz, et al.. (2017). Efficient tomography of a quantum many-body system. Nature Physics. 13(12). 1158–1162. 160 indexed citations
17.
Guise, Hubert de, et al.. (2016). D-functions and immanants of unitary matrices and submatrices. Journal of Physics A Mathematical and Theoretical. 49(9). 09LT01–09LT01. 6 indexed citations
18.
Dhand, Ish, et al.. (2016). Accurate and precise characterization of linear optical interferometers. Journal of Optics. 18(3). 35204–35204. 17 indexed citations
19.
Dhand, Ish & Sandeep K. Goyal. (2015). Realization of arbitrary discrete unitary transformations using spatial and internal modes of light. Physical Review A. 92(4). 21 indexed citations
20.
Dhand, Ish & Barry C. Sanders. (2014). Stability of the Trotter–Suzuki decomposition. Journal of Physics A Mathematical and Theoretical. 47(26). 265206–265206. 14 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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