World's Best Scientists 2026 revealed!
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Engineering and Technology
USA
2026

D-Index & Metrics

Physics

D-Index
99
Citations
49480
World Ranking
1684
National Ranking
887

Engineering and Technology

D-Index
95
Citations
48102
World Ranking
196
National Ranking
71

Jay M. Gambetta publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jay M. Gambetta sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 337 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jay M. Gambetta D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jay M. Gambetta sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 95 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in United States Leader Award
  • 2025 - Research.com Engineering and Technology in United States Leader Award
  • 2014 - Fellow of American Physical Society (APS) Citation For his seminal theoretical contributions to the design, characterization and validation of quantum operations for quantum information processing with superconducting qubits

Overview

Jay M. Gambetta is affiliated with IBM in the United States. Their research primarily focuses on quantum computing, with a specialization in quantum computing algorithms and architecture as well as quantum information and cryptography.

The scientist has contributed extensively to fields of computer science and physics and astronomy, covering subfields such as artificial intelligence, atomic and molecular physics and optics, electrical and electronic engineering, computational theory and mathematics, and hardware and architecture.

The main topics of their work include:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Quantum and Electron Transport Phenomena
  • Quantum-Dot Cellular Automata
  • Advancements in Semiconductor Devices and Circuit Design
  • Low-power High-performance VLSI Design
  • Quantum Many-body Systems

Jay M. Gambetta has published numerous papers, with frequent appearances in venues such as arXiv (Cornell University), Physical Review A, Nature Physics, Physical Review Letters, and the Journal of Applied Physics.

Some of their recent papers include:

  • Demonstration of quantum volume 64 on a superconducting quantum computing system (2022), arXiv (Cornell University)
  • Mitigating measurement errors in multiqubit experiments (2021), Physical Review A
  • The future of quantum computing with superconducting qubits (2022), Journal of Applied Physics
  • High-threshold and low-overhead fault-tolerant quantum memory (2024), Nature
  • Effective Hamiltonian models of the cross-resonance gate (2020), Physical Review A

The scientist frequently collaborates with several coauthors, including Sergey Bravyi, Abhinav Kandala, Antonio Córcoles, Ali Javadi-Abhari, and Kristan Temme.

Jay M. Gambetta was awarded the status of Fellow of the American Physical Society (APS) in 2014 for contributions to the design, characterization, and validation of quantum operations for quantum information processing with superconducting qubits.

Best Publications

  • Charge-insensitive qubit design derived from the Cooper pair box

    Jens Koch;Terri M. Yu;Jay Gambetta;Andrew Addison Houck

  • Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets

    Abhinav Kandala;Antonio Mezzacapo;Kristan Temme;Maika Takita

  • Supervised learning with quantum-enhanced feature spaces.

    Vojtěch Havlíček;Vojtěch Havlíček;Antonio D. Córcoles;Kristan Temme;Aram W. Harrow

  • Coupling superconducting qubits via a cavity bus.

    J. Majer;J. M. Chow;J. M. Gambetta;Jens Koch

  • Qiskit: An Open-source Framework for Quantum Computing

    Gadi Aleksandrowicz;Thomas Alexander;Panagiotis Barkoutsos;Luciano Bello

  • Demonstration of two-qubit algorithms with a superconducting quantum processor

    L. DiCarlo;J. M. Chow;J. M. Gambetta;Lev S. Bishop

  • Error Mitigation for Short-Depth Quantum Circuits

    Kristan Temme;Sergey Bravyi;Jay M. Gambetta

  • Quantum optimization using variational algorithms on near-term quantum devices

    Nikolaj Moll;Panagiotis Barkoutsos;Lev S Bishop;Jerry M Chow

  • Resolving photon number states in a superconducting circuit

    D. I. Schuster;A. A. Houck;J. A. Schreier;A. Wallraff;A. Wallraff

  • Error mitigation extends the computational reach of a noisy quantum processor

    Abhinav Kandala;Kristan Temme;Antonio D. Córcoles;Antonio Mezzacapo

  • Quantum information processing with circuit quantum electrodynamics

    Alexandre Blais;Alexandre Blais;Jay Gambetta;A. Wallraff;A. Wallraff;D. I. Schuster

  • Simple pulses for elimination of leakage in weakly nonlinear qubits.

    F. Motzoi;J. M. Gambetta;P. Rebentrost;P. Rebentrost;F. K. Wilhelm

  • Scalable and robust randomized benchmarking of quantum processes.

    Easwar Magesan;J. M. Gambetta;Joseph Emerson

  • Preparation and measurement of three-qubit entanglement in a superconducting circuit

    Leonardo DiCarlo;Matthew D. Reed;Luyan Sun;Blake R. Johnson

  • Superconducting qubit in a waveguide cavity with a coherence time approaching 0.1 ms

    Chad Rigetti;Jay M. Gambetta;Stefano Poletto;B. L. T. Plourde

  • Validating quantum computers using randomized model circuits

    Andrew W. Cross;Lev S. Bishop;Sarah Sheldon;Paul D. Nation

  • Suppressing charge noise decoherence in superconducting charge qubits

    J. A. Schreier;Andrew Addison Houck;Jens Koch;D. I. Schuster

  • Efficient Z gates for quantum computing

    David C. McKay;Christopher J. Wood;Sarah Sheldon;Jerry M. Chow

  • Demonstration of a quantum error detection code using a square lattice of four superconducting qubits

    A.D. Córcoles;Easwar Magesan;Srikanth J. Srinivasan;Andrew W. Cross

  • Building logical qubits in a superconducting quantum computing system

    Jay M. Gambetta;Jerry M. Chow;Matthias Steffen

  • Controlling the Spontaneous Emission of a Superconducting Transmon Qubit

    A. A. Houck;J. A. Schreier;B. R. Johnson;J. M. Chow

Frequent Co-Authors

Alexandre Blais
Alexandre Blais Canadian Institute for Advanced Research
Robert Schoelkopf
Robert Schoelkopf Yale University
Andrew Houck
Andrew Houck Princeton University
John A. Smolin
John A. Smolin IBM (United States)
Steven Girvin
Steven Girvin Yale University
Luigi Frunzio
Luigi Frunzio Yale University
Michel Devoret
Michel Devoret Yale University
Howard M. Wiseman
Howard M. Wiseman Griffith University
M. B. Ketchen
M. B. Ketchen IBM (United States)

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