Jay Gambetta

38.1k citations
121 papers · 22.0k · 26 hit papers · h-index 70

Impact in

    • Quantum Information and Cryptography
    • Quantum Computing Algorithms and Architecture
    • Neural Networks and Reservoir Computing
    • Quantum and electron transport phenomena
    • Quantum Mechanics and Applications
    • Mechanical and Optical Resonators
    • Quantum optics and atomic interactions
    • Quantum many-body systems

Papers in

    • Quantum Information and Cryptography 112
    • Quantum Computing Algorithms and Architecture 82
    • Quantum and electron transport phenomena 58
    • Quantum Mechanics and Applications 26
    • Mechanical and Optical Resonators 17
    • Quantum optics and atomic interactions 8

Jay Gambetta

119 papers receiving 21.4k citations

Jay Gambetta's Hit Papers

High-threshold and low-overhead fault-tolerant quantum memory 2024 · 182 citations
1820+5+10Years since publication50010001.5k

Peers

Jay Gambetta
Comparison fields: 5 of 114
  • Artificial Intelligence 19.2k
  • Atomic and Molecular Physics, and Optics 16.6k
  • Computational Theory and Mathematics 1.5k
  • Condensed Matter Physics 739
  • Statistical and Nonlinear Physics 724
Replace John Preskill with:
John Preskill United States
Jerry M. Chow United States
Lov K. Grover United States
R. Blatt Austria
Emanuel Knill United States
John A. Smolin United States
John M. Martinis United States
Artur Ekert United Kingdom
Michael A. Nielsen Australia
Raymond Laflamme Canada
Jay Gambetta relative to John Preskill United States John Preskill's profile →
Citations per field
00.5×1.7×
John Preskill · 1×
Citations per year

Countries citing papers authored by Jay Gambetta

Since Specialization
Citations

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

Fields of papers citing papers by Jay Gambetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Charge-insensitive qubit design derived from the Cooper pair box
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20072138
2
Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
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20171789
3
Supervised learning with quantum-enhanced feature spaces
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20191311
4
Coupling superconducting qubits via a cavity bus
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2007972
5
Error Mitigation for Short-Depth Quantum Circuits
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2017813
6
Demonstration of two-qubit algorithms with a superconducting quantum processor
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2009809
7
Resolving photon number states in a superconducting circuit
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2007606
8
Error mitigation extends the computational reach of a noisy quantum processor
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2019528
9
Quantum-information processing with circuit quantum electrodynamics
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2007517
10
Simple Pulses for Elimination of Leakage in Weakly Nonlinear Qubits
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2009496
11
Preparation and measurement of three-qubit entanglement in a superconducting circuit
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2010417
12
Scalable and Robust Randomized Benchmarking of Quantum Processes
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2011406
13
Superconducting qubit in a waveguide cavity with a coherence time approaching 0.1 ms
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2012384
14
Validating quantum computers using randomized model circuits
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2019377
15
Suppressing charge noise decoherence in superconducting charge qubits
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2008375
16
Efficient Z gates for quantum computing
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2017342
17
Generating single microwave photons in a circuit
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2007336
18
Building logical qubits in a superconducting quantum computing system
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2017324
19
Controlling the Spontaneous Emission of a Superconducting Transmon Qubit
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2008314
20
Demonstration of a quantum error detection code using a square lattice of four superconducting qubits
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2015312

About Jay Gambetta

Jay Gambetta is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 121 papers that have together received 22.0k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (112 papers), Quantum Computing Algorithms and Architecture (82 papers), Quantum and electron transport phenomena (58 papers), Quantum Mechanics and Applications (26 papers), Mechanical and Optical Resonators (17 papers), Quantum optics and atomic interactions (8 papers), Quantum-Dot Cellular Automata (7 papers) and Advanced Thermodynamics and Statistical Mechanics (5 papers). The work is most often cited by research in Artificial Intelligence (19.2k citations), Atomic and Molecular Physics, and Optics (16.6k citations), Computational Theory and Mathematics (1.5k citations), Condensed Matter Physics (739 citations) and Statistical and Nonlinear Physics (724 citations). Jay Gambetta has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jerry M. Chow, Alexandre Blais, Kristan Temme, S. M. Girvin, David Schuster, Robert Schoelkopf, Abhinav Kandala, Andrew Houck, Antonio Córcoles and Michel Devoret. Their work appears in journals such as Physical Review A, Physical Review Letters, Nature, Physical review. A and Physical Review B.

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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