Easwar Magesan

4.5k citations
32 papers · 2.6k indexed · 3 hit papers · h-index 21

Easwar Magesan

32 papers receiving 2.5k citations

Hit Papers

Procedure for systematically tuning up cross-talk in the ...2762011202620162021100200300

Peers

Easwar Magesan
Comparison fields: 5 of 53
  • Artificial Intelligence 2.3k
  • Atomic and Molecular Physics, and Optics 1.9k
  • Computational Theory and Mathematics 227
  • Hardware and Architecture 54
  • Electrical and Electronic Engineering 389
Replace Maika Takita with:
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Citations per field
00.5×10×12.9×
Maika Takita · 1×
Citations per year

Countries citing papers authored by Easwar Magesan

Since Specialization
Citations

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

Fields of papers citing papers by Easwar Magesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Easwar Magesan, 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 Easwar Magesan Line = papers co-authored together Easwar Magesan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202250
2 20226
3 2021104
4
Effects of qubit frequency crowding on scalable quantum processors
20201
5
Experimental considerations for zero noise extrapolation
20201
6
Enablement of near-term quantum processors by architectural yield engineering
20191
7 201827
8 2016119
9 201585
10
Demonstration of a quantum error detection code using a square lattice of four superconducting qubitsbreakdown →
2015301
11 2014191
12 201443
13 201479
14 20131
15 201310
16 201312
17 2012243
18 20123
19
Scalable and Robust Randomized Benchmarking of Quantum Processesbreakdown →
2011396
20 200847

About Easwar Magesan

Easwar Magesan is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 32 papers that have together received 2.6k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (25 papers), Quantum Computing Algorithms and Architecture (25 papers), Quantum and electron transport phenomena (11 papers), Quantum Mechanics and Applications (6 papers), Atomic and Subatomic Physics Research (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Low-power high-performance VLSI design (2 papers) and Quantum-Dot Cellular Automata (2 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Atomic and Molecular Physics, and Optics (1.9k citations) and Computational Theory and Mathematics (227 citations). Easwar Magesan has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Jay Gambetta, Joseph Emerson, Jerry M. Chow, Andrew W. Cross, Matthias Steffen, Sarah Sheldon, Antonio Córcoles, Srikanth Srinivasan, Blake Johnson and Colm A. Ryan. Their work appears in journals such as Physical Review Letters, Nature Communications 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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