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
Adiabatic Quantum Simulation of Quantum Chemistry
TL;DR: A procedure to map electronic structure Hamiltonians to 2-body qubit Hamiltonians with a small set of physically realizable couplings with precision requirements on the coupling strengths and a number of ancilla qubits that scale polynomially in the problem size is described.
Machine Learning the Quantum-Chemical Properties of Metal–Organic Frameworks for Accelerated Materials Discovery with a New Electronic Structure Database
Andrew S. Rosen,Shaelyn M. Iyer,Debmalya Ray,Zhenpeng Yao,Alán Aspuru-Guzik,Alán Aspuru-Guzik,Laura Gagliardi,Justin M. Notestein,Randall Q. Snurr +8 more
TL;DR: The first publicly available quantum-chemical database for MOFs is developed (the “QMOF database”), which consists of properties derived from density functional theory (DFT) for over 14,000 experimentally synthesized MOFs, and it is demonstrated how this new database can be used to identify MOFs with targeted electronic structure properties.
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SELFIES and the future of molecular string representations
Mario Krenn,Qianxiang Ai,Senja Barthel,Nessa Carson,Angelo Frei,Nathan C. Frey,Pascal Friederich,Théophile Gaudin,Albert A Gayle,Kevin Maik Jablonka,R. Lameiro,Dominik Lemm,Alston Lo,Seyed Mohamad Moosavi,Jos'e Manuel N'apoles-Duarte,AkshatKumar Nigam,Robert Pollice,Kohulan Rajan,Ulrich Schatzschneider,Philippe Schwaller,Marta Skreta,Berend Smit,Felix Strieth-Kalthoff,Chong Sun,Gary Tom,Guido Falk von Rudorff,Andrew Wang,Andrew D. White,A. R. Young,Rose Yu,Alán Aspuru-Guzik +30 more
TL;DR: The authors proposed 16 concrete future projects for robust molecular representations, which involve the extension toward new chemical domains, exciting questions at the interface of AI and robust languages, and interpretability for both humans and machines.
177
Variational Quantum Generators: Generative Adversarial Quantum Machine Learning for Continuous Distributions
Jonathan Romero,Alán Aspuru-Guzik +1 more
- 01 Jan 2021
TL;DR: In this article, a variational quantum generator is proposed to model continuous classical probability distributions using a set of operators chosen at the beginning of the calculation, and the generator is trained via its interaction with a discriminator model that compares the generated samples with those coming from the real data distribution.
176
•Posted Content
Finding low-energy conformations of lattice protein models by quantum annealing
TL;DR: In this article, the first implementation of lattice protein folding on a quantum device under the Miyazawa-Jernigan model is presented, which paves the way towards studying optimization problems in biophysics and statistical mechanics using quantum devices.
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