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
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.
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.
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
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)
Convolutional networks on graphs for learning molecular fingerprints
David Duvenaud;Dougal Maclaurin;Jorge Aguilera-Iparraguirre;Rafael Gómez-Bombarelli.
neural information processing systems (2015)
A variational eigenvalue solver on a photonic quantum processor
Alberto Peruzzo;Jarrod Ryan McClean;Peter Shadbolt;Man-Hong Yung.
Nature Communications (2014)
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)
Environment-assisted quantum walks in photosynthetic energy transfer.
Masoud Mohseni;Patrick Rebentrost;Seth Lloyd;Alán Aspuru-Guzik.
Journal of Chemical Physics (2008)
A metal-free organic–inorganic aqueous flow battery
Brian Thomas Huskinson;Michael Marshak;Changwon Suh;Suleyman Er.
The theory of variational hybrid quantum-classical algorithms
Jarrod Ryan McClean;Jonathan Romero;Ryan Joseph Babbush;Alan Aspuru-Guzik.
New Journal of Physics (2016)
Tuning charge transport in solution-sheared organic semiconductors using lattice strain
Gaurav Giri;Eric Verploegen;Eric Verploegen;Stefan C. B. Mannsfeld;Sule Atahan-Evrenk.
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 transport
Patrick Rebentrost;Masoud Mohseni;Ivan Kassal;Seth Lloyd.
New Journal of Physics (2009)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: