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- Alán Aspuru-Guzik

Discipline name
D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
disciplines.
Citations
Publications
World Ranking
National Ranking

Engineering and Technology
D-index
91
Citations
42,645
360
World Ranking
52
National Ranking
4

Physics
D-index
74
Citations
29,945
284
World Ranking
2748
National Ranking
68

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

- Quantum mechanics
- Artificial intelligence
- Electron

His primary areas of investigation include Quantum, Quantum computer, Quantum mechanics, Statistical physics and Quantum simulator. His research in Quantum intersects with topics in Hamiltonian, Coherence, Fenna-Matthews-Olson complex and Molecular dynamics. His Quantum computer research integrates issues from Quantum information, Computational chemistry, Quantum algorithm and Theoretical computer science.

His studies deal with areas such as Simple, Decoding methods and Representation as well as Theoretical computer science. Alán Aspuru-Guzik interconnects Wave function, Excited state, Coupled cluster, Ground state and Discretization in the investigation of issues within Statistical physics. While the research belongs to areas of Quantum simulator, Alán Aspuru-Guzik spends his time largely on the problem of Quantum chemistry, intersecting his research to questions surrounding Ion.

- Advances in molecular quantum chemistry contained in the Q-Chem 4 program package (1461 citations)
- A variational eigenvalue solver on a photonic quantum processor (1127 citations)
- Convolutional networks on graphs for learning molecular fingerprints (980 citations)

Alán Aspuru-Guzik mainly investigates Quantum, Quantum computer, Quantum mechanics, Statistical physics and Quantum algorithm. He has researched Quantum in several fields, including Hamiltonian and Ground state. His research integrates issues of Quantum information, Theoretical physics, Wave function and Topology in his study of Quantum computer.

His Open quantum system, Quantum process and Quantum decoherence study are his primary interests in Quantum mechanics. As part of his studies on Statistical physics, Alán Aspuru-Guzik often connects relevant areas like Quantum Monte Carlo. His studies in Quantum algorithm integrate themes in fields like Algorithm and Quantum operation.

- Quantum (25.78%)
- Quantum computer (18.01%)
- Quantum mechanics (14.60%)

- Quantum (25.78%)
- Artificial intelligence (9.55%)
- Quantum computer (18.01%)

The scientist’s investigation covers issues in Quantum, Artificial intelligence, Quantum computer, Chemical space and Quantum simulator. His study in Quantum is interdisciplinary in nature, drawing from both Ground state and Topology. His Deep learning and Artificial neural network study in the realm of Artificial intelligence connects with subjects such as Chemistry.

The Quantum computer study combines topics in areas such as Quantum information science and Computer engineering. His Chemical space research includes elements of Virtual screening, Representation, Molecule and Generative grammar, Generative model. His Quantum simulator study also includes

- Energy functional, Statistical physics and Eigenvalues and eigenvectors most often made with reference to Hamiltonian,
- Superconductivity most often made with reference to Energy.

- Quantum computational chemistry (250 citations)
- QSAR without borders (83 citations)
- Self-driving laboratory for accelerated discovery of thin-film materials. (57 citations)

- Quantum mechanics
- Artificial intelligence
- Electron

His primary scientific interests are in Quantum, Quantum computer, Theoretical computer science, Artificial intelligence and Artificial neural network. His Quantum study often links to related topics such as Topology. His work in the fields of Quantum machine learning overlaps with other areas such as Key and Probability distribution.

His research in Theoretical computer science focuses on subjects like Representation, which are connected to Virtual screening and Generative grammar. His work in Artificial intelligence covers topics such as Machine learning which are related to areas like Orders of magnitude and Domain knowledge. His Artificial neural network study combines topics from a wide range of disciplines, such as Oxidative addition, Message passing and Graph.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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

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

Molecular Physics **(2015)**

1731 Citations

Environment-assisted quantum walks in photosynthetic energy transfer.

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

Journal of Chemical Physics **(2008)**

1162 Citations

Convolutional networks on graphs for learning molecular fingerprints

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

neural information processing systems **(2015)**

1056 Citations

A metal-free organic–inorganic aqueous flow battery

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

Nature **(2014)**

921 Citations

A variational eigenvalue solver on a photonic quantum processor

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

Nature Communications **(2014)**

874 Citations

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

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

Nature **(2011)**

874 Citations

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

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

ACS central science **(2018)**

869 Citations

Environment-assisted quantum transport

Patrick Rebentrost;Masoud Mohseni;Ivan Kassal;Seth Lloyd.

New Journal of Physics **(2009)**

830 Citations

Photonic quantum simulators

Alán Aspuru-Guzik;Philip Walther.

Nature Physics **(2012)**

716 Citations

Simulated quantum computation of molecular energies.

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

Science **(2005)**

685 Citations

Harvard University

Harvard University

University of California, Berkeley

University of Erlangen-Nuremberg

Stanford University

Vrije Universiteit Amsterdam

Max Planck Institute for the Structure and Dynamics of Matter

Princeton University

Princeton University

University of British Columbia

Profile was last updated on December 6th, 2021.

Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).

The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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