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D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
14922
World Ranking
4217
National Ranking
177

Michele Mosca 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 Michele Mosca 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: 121 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Michele Mosca 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 Michele Mosca 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: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Michele Mosca is affiliated with the University of Waterloo in Canada and works primarily in the field of Computer Science. Their research focuses extensively on Quantum Computing Algorithms and Architecture, as well as related topics within quantum information and cryptography.

Their work spans several subfields of study, including:

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics
  • Hardware and Architecture

Mosca has contributed significantly to research on quantum computing and related computational methods. Their topics of work prominently include:

  • Quantum Computing Algorithms and Architecture
  • Quantum-Dot Cellular Automata
  • Quantum Information and Cryptography
  • Low-power high-performance VLSI design
  • Cryptography and Data Security
  • Parallel Computing and Optimization Techniques
  • Blockchain Technology Applications and Security

Their publication record features papers in leading venues, with frequent contributions appearing in:

  • arXiv (Cornell University)
  • npj Quantum Information
  • Scientific Reports
  • Quantum Science and Technology
  • Electronic Proceedings in Theoretical Computer Science

Recent publications by Michele Mosca include:

  • "T-count and T-depth of any multi-qubit unitary", 2022, npj Quantum Information
  • "Reducing the CNOT Count for Clifford+T Circuits on NISQ Architectures", 2022, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • "A (quasi-)polynomial time heuristic algorithm for synthesizing T-depth optimal circuits", 2022, npj Quantum Information
  • "Assessing the Benefits and Risks of Quantum Computers", 2024, arXiv (Cornell University)
  • "Factoring semi-primes with (quantum) SAT-solvers", 2022, Scientific Reports

Mosca has collaborated frequently with other researchers including Vlad Gheorghiu, Priyanka Mukhopadhyay, Sarah Meng Li, Jiaxin Huang, and Luca Dellantonio.

Best Publications

  • Quantum Amplitude Amplification and Estimation

    Gilles Brassard;Peter Hoyer;Michele Mosca;Alain Tapp

  • QUANTUM ALGORITHMS REVISITED

    Richard Cleve;Artur Ekert;Chiara Macchiavello;Michele Mosca

  • An introduction to quantum computing

    Phillip Kaye;Raymond Laflamme;Michele Mosca

  • Quantum lower bounds by polynomials

    Robert Beals;Harry Buhrman;Richard Cleve;Michele Mosca

  • Implementation of a quantum search algorithm on a quantum computer

    Jonathan A. Jones;Michele Mosca;Rasmus H. Hansen

  • Implementation of a quantum algorithm on a nuclear magnetic resonance quantum computer

    J. A. Jones;M. Mosca

  • A Meet-in-the-Middle Algorithm for Fast Synthesis of Depth-Optimal Quantum Circuits

    M. Amy;D. Maslov;M. Mosca;M. Roetteler

  • Cybersecurity in an Era with Quantum Computers: Will We Be Ready?

    Michele Mosca

  • Implementation of a Quantum Search Algorithm on a Nuclear Magnetic Resonance Quantum Computer

    J. A. Jones;M. Mosca;R. H. Hansen

  • How powerful is adiabatic quantum computation

    W. van Dam;M. Mosca;U. Vazirani

  • Implementation of a Quantum Algorithm to Solve Deutsch's Problem on a Nuclear Magnetic Resonance Quantum Computer

    J. A. Jones;M. Mosca

  • Polynomial-Time T-Depth Optimization of Clifford+T Circuits Via Matroid Partitioning

    Matthew Amy;Dmitri Maslov;Michele Mosca

  • Private quantum channels

    A. Ambainis;M. Mosca;A. Tapp;R. De Wolf

  • Quantum lower bounds by polynomials

    R. Beals;H. Buhrman;R. Cleve;M. Mosca

  • Fast and efficient exact synthesis of single-qubit unitaries generated by clifford and T gates

    Vadym Kliuchnikov;Dmitri Maslov;Michele Mosca

  • On the Robustness of Bucket Brigade Quantum RAM

    Srinivasan Arunachalam;Vlad Gheorghiu;Tomas Jochym-O'Connor;Michele Mosca

  • Post-quantum Key Exchange for the Internet and the Open Quantum Safe Project

    Douglas Stebila;Michele Mosca;Michele Mosca;Michele Mosca

  • The hidden subgroup problem and eigenvalue estimation on a quantum computer

    M. Mosca;A. Ekert

  • Quantum circuit optimizations for NISQ architectures

    Beatrice Nash;Beatrice Nash;Beatrice Nash;Vlad Gheorghiu;Michele Mosca

  • Asymptotically optimal approximation of single qubit unitaries by Clifford and T circuits using a constant number of ancillary qubits.

    Vadym Kliuchnikov;Dmitri Maslov;Michele Mosca

  • Approximate quantum cloning with nuclear magnetic resonance.

    Holly K. Cummins;Claire Jones;Alistair Furze;Nicholas F. Soffe

  • Quantum search on bounded-error inputs

    Peter Høyer;Michele Mosca;Ronald De Wolf

  • How Powerful is Adiabatic Quantum Computation

    Wim van Dam;Michele Mosca;Umesh Vazirani

Frequent Co-Authors

Dmitri Maslov
Dmitri Maslov IBM (United States)
Artur Ekert
Artur Ekert University of Oxford
Raymond Laflamme
Raymond Laflamme University of Waterloo
Richard Cleve
Richard Cleve University of Waterloo
Chiara Macchiavello
Chiara Macchiavello University of Pavia
Ronald de Wolf
Ronald de Wolf University of Amsterdam
Daniel J. Bernstein
Daniel J. Bernstein University of Illinois at Chicago
Harry Buhrman
Harry Buhrman University of Amsterdam
Daniel Gottesman
Daniel Gottesman University of Maryland, College Park
Umesh Vazirani
Umesh Vazirani University of California, Berkeley

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