Alán Aspuru-Guzik
University of Toronto
664 Papers
4.7K Citations
Alán Aspuru-Guzik is an academic researcher from University of Toronto. The author has contributed to research in topics: Quantum computer & Quantum. The author has an hindex of 97, co-authored 628 publications. Previous affiliations of Alán Aspuru-Guzik include D-Wave Systems & National Autonomous University of Mexico.
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Papers
Quantum computer-aided design: digital quantum simulation of quantum processors
Thi Ha Kyaw,Tim Menke,Sukin Sim,Nicolas P. D. Sawaya,William D. Oliver,Gian Giacomo Guerreschi,Alán Aspuru-Guzik +6 more
TL;DR: This work compute the static and dynamic properties of individual and coupled transmons and shows how the energy spectra of transmons can be obtained by variational hybrid quantum-classical algorithms that are well-suited for near-term noisy quantum computers.
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Quantum information and computation for chemistry 2016
TL;DR: The NSF Workshop in Quantum Information and Computation for Chemistry assembled experts from directly quantum-oriented fields such as algorithms, chemistry, machine learning, optics, simulation, and metrology as discussed by the authors.
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Quantum process tomography by 2D fluorescence spectroscopy
TL;DR: In this article, a quantum process tomography of the single-exciton manifold in energy transfer systems is proposed on the basis of two-dimensional fluorescence spectroscopy (2D-FS) with phase-modulation.
Design rules for high mobility xanthene-based hole transport materials
Daniel P. Tabor,Valerie A. Chiykowski,Pascal Friederich,Pascal Friederich,Pascal Friederich,Yang Cao,David J. Dvorak,Curtis P. Berlinguette,Alán Aspuru-Guzik +8 more
TL;DR: A set of design principles for high mobility xanthene-based organic hole transport materials are elucidated by combining multiple scales of theoretical chemistry with experimental synthesis and characterization.
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An Artificial Spiking Quantum Neuron
Lasse Bjørn Kristensen,Matthias Degroote,Matthias Degroote,Peter Wittek,Alán Aspuru-Guzik,Nikolaj T. Zinner +5 more
TL;DR: An artificial quantum spiking neuron that relies on the dynamical evolution of two easy to implement Hamiltonians and subsequent local measurements to influence the input and demonstrate this through the classification of Bell pairs which can be seen as a certification protocol.