World's Best Scientists 2026 revealed!
Alán Aspuru-Guzik

Alán Aspuru-Guzik

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Engineering and Technology
Canada
2026

D-Index & Metrics

Engineering and Technology

D-Index
130
Citations
88676
World Ranking
29
National Ranking
2

Physics

D-Index
117
Citations
73118
World Ranking
899
National Ranking
21

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in Canada Leader Award
  • 2025 - Research.com Engineering and Technology in Canada Leader Award
  • 2023 - Research.com Engineering and Technology in Canada Leader Award
  • 2022 - Research.com Engineering and Technology in Canada Leader Award
  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2012 - Fellow of American Physical Society (APS) Citation For his contributions at the interface of quantum information and chemistry and biology, including theory and experiment on quantum simulation for molecules, the development of the undertsanding of quantum coherence in photosynthesis, and density functional theory for open quantum systems
  • 2009 - Fellow of Alfred P. Sloan Foundation

Overview

Alán Aspuru-Guzik is affiliated with the University of Toronto in Canada. Their research spans several fields with a primary focus on Computer Science and Materials Science. Within these broader disciplines, they have contributed extensively to subfields including Materials Chemistry, Artificial Intelligence, Computational Theory and Mathematics, Electrical and Electronic Engineering, and Molecular Biology.

The scientist's main topics of work reflect a strong interdisciplinary approach, combining computational methods and innovative scientific techniques. These topics include:

  • Machine Learning in Materials Science
  • Computational Drug Discovery Methods
  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Protein Structure and Dynamics
  • Scientific Computing and Data Management

Among recent publications, several stand out due to their impact and the venues in which they appeared. Key papers include:

  • "Quantum computational chemistry," 2020, Reviews of Modern Physics
  • "Noisy intermediate-scale quantum algorithms," 2022, Reviews of Modern Physics
  • "Rational design of layered oxide materials for sodium-ion batteries," 2020, Science
  • "QSAR without borders," 2020, Chemical Society Reviews
  • "Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation," 2020, Repository KITopen (Karlsruhe Institute of Technology)

Publication venues where Alán Aspuru-Guzik has frequently published include:

  • arXiv (Cornell University)
  • Matter
  • Zenodo (CERN European Organization for Nuclear Research)
  • Digital Discovery
  • Chemical Science

They have collaborated regularly with several co-authors, with repeated joint works alongside:

  • Robert Pollice
  • Riley J. Hickman
  • Cyrille Lavigne
  • Florian Häse
  • Pascal Friederich

Alán Aspuru-Guzik has also contributed to academic literature through book publications, including Quantum Computing for Quantum Chemistry, to be published by the American Chemical Society in 2025.

The scientist has been recognized as a fellow by several organizations, including:

  • Fellow of the American Association for the Advancement of Science (AAAS) in 2017
  • Fellow of the American Physical Society (APS) in 2012, with a citation acknowledging contributions at the interface of quantum information, chemistry, and biology, including quantum simulation for molecules and density functional theory for open quantum systems
  • Fellow of the Alfred P. Sloan Foundation in 2009

Best Publications

  • A variational eigenvalue solver on a photonic quantum processor

    Alberto Peruzzo;Jarrod Ryan McClean;Peter Shadbolt;Man-Hong Yung

  • Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

    Rafael Gómez-Bombarelli;Jennifer Nansean Wei;David Duvenaud;José Miguel Hernández-Lobato

  • Convolutional networks on graphs for learning molecular fingerprints

    David Duvenaud;Dougal Maclaurin;Jorge Aguilera-Iparraguirre;Rafael Gómez-Bombarelli

  • Advances in molecular quantum chemistry contained in the Q-Chem 4 program package

    Yihan Shao;Zhengting Gan;Evgeny Epifanovsky;Andrew T. B. Gilbert

  • The theory of variational hybrid quantum-classical algorithms

    Jarrod Ryan McClean;Jonathan Romero;Ryan Joseph Babbush;Alan Aspuru-Guzik

  • Inverse molecular design using machine learning: Generative models for matter engineering

    Benjamin Sanchez-Lengeling;Alán Aspuru-Guzik;Alán Aspuru-Guzik

  • A metal-free organic–inorganic aqueous flow battery

    Brian Thomas Huskinson;Michael Marshak;Changwon Suh;Suleyman Er

  • Quantum computational chemistry

    Sam McArdle;Suguru Endo;Alán Aspuru-Guzik;Simon C. Benjamin

  • Simulated quantum computation of molecular energies.

    Alan Aspuru-Guzik;Alan Aspuru-Guzik;Alan Aspuru-Guzik;Anthony Dutoi;Anthony Dutoi;Anthony Dutoi;Peter John Love;Peter John Love;Peter John Love;Martin Head-Gordon;Martin Head-Gordon;Martin Head-Gordon

  • Environment-assisted quantum walks in photosynthetic energy transfer.

    Masoud Mohseni;Patrick Rebentrost;Seth Lloyd;Alán Aspuru-Guzik

  • Quantum Chemistry in the Age of Quantum Computing.

    Yudong Cao;Jonathan Romero;Jonathan P. Olson;Matthias Degroote;Matthias Degroote

  • Rational design of layered oxide materials for sodium-ion batteries

    Chenglong Zhao;Qidi Wang;Zhenpeng Yao;Jianlin Wang

  • Deep learning enables rapid identification of potent DDR1 kinase inhibitors.

    Alex Zhavoronkov;Yan A Ivanenkov;Alex Aliper;Mark S Veselov

  • Software for the frontiers of quantum chemistry: An overview of developments in the Q-Chem 5 package

    Evgeny Epifanovsky;Andrew T.B. Gilbert;Andrew T.B. Gilbert;Xintian Feng;Xintian Feng;Joonho Lee

  • Tuning charge transport in solution-sheared organic semiconductors using lattice strain

    Gaurav Giri;Eric Verploegen;Eric Verploegen;Stefan C. B. Mannsfeld;Sule Atahan-Evrenk

  • Scalable Quantum Simulation of Molecular Energies

    Peter O'Malley;Ryan Babbush;Ian Kivlichan;Jonathan Romero

  • High Electrical Conductivity in Ni3(2,3,6,7,10,11-hexaiminotriphenylene)2, a Semiconducting Metal–Organic Graphene Analogue

    Dennis Sheberla;Lei Sun;Martin A. Blood-Forsythe;Süleyman Er

  • Photonic quantum simulators

    Alán Aspuru-Guzik;Philip Walther

  • Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach

    Rafael Gómez-Bombarelli;Jorge Aguilera-Iparraguirre;Timothy D. Hirzel;David Duvenaud

  • Towards quantum chemistry on a quantum computer

    Bp P. Lanyon;James D. Whitfield;Gg G. Gillett;Me E. Goggin

  • Environment-assisted quantum transport

    Patrick Rebentrost;Masoud Mohseni;Ivan Kassal;Seth Lloyd

Frequent Co-Authors

Michael J. Aziz
Michael J. Aziz Harvard University
Roy G. Gordon
Roy G. Gordon Harvard University
William A. Lester
William A. Lester University of California, Berkeley
Christoph J. Brabec
Christoph J. Brabec University of Erlangen-Nuremberg
Rienk van Grondelle
Rienk van Grondelle Vrije Universiteit Amsterdam
Angel Rubio
Angel Rubio Max Planck Institute for the Structure and Dynamics of Matter
Zhenan Bao
Zhenan Bao Stanford University
David Duvenaud
David Duvenaud University of Toronto
Gregory D. Scholes
Gregory D. Scholes Princeton University

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