The Matter Simulation (R)evolution

The Matter Simulation (R)evolution

Bibliographic Details
Main Authors:	Alán Aspuru-Guzik, Roland Lindh, Markus Reiher
Format:	Article
Language:	English
Published:	American Chemical Society 2018-02-01
Series:	ACS Central Science
Online Access:	https://doi.org/10.1021/acscentsci.7b00550

Similar Items

Automatic Differentiation in Quantum Chemistry with Applications to Fully Variational Hartree–Fock
by: Teresa Tamayo-Mendoza, et al.
Published: (2018-05-01)

Adiabatic Quantum Simulators
by: Whitfield, J, et al.
Published: (2010)

Simulation of electronic structure Hamiltonians using quantum computers
by: Whitfield, J, et al.
Published: (2010)

You Wouldn’t Download a Molecule! Now, ChemSCAD Makes It Possible
by: Martin Seifrid, et al.
Published: (2021-01-01)

The Kitaev–Feynman clock for open quantum systems
by: David G Tempel, et al.
Published: (2014-01-01)

Learning More, with Less
by: Benjamín Sánchez-Lengeling, et al.
Published: (2017-04-01)

Linear-algebraic bath transformation for simulating complex open quantum systems
by: Joonsuk Huh, et al.
Published: (2014-01-01)

Adiabatic quantum simulators
by: J. D. Biamonte, et al.
Published: (2011-06-01)

Faster than classical quantum algorithm for dense formulas of exact satisfiability and occupation problems
by: Salvatore Mandrà, et al.
Published: (2016-01-01)

Design of quantum optical experiments with logic artificial intelligence
by: Alba Cervera-Lierta, et al.
Published: (2022-10-01)

Neural Networks for the Prediction of Organic Chemistry Reactions
by: Jennifer N. Wei, et al.
Published: (2016-10-01)

Language models can learn complex molecular distributions
by: Daniel Flam-Shepherd, et al.
Published: (2022-06-01)

Compressed Sensing for the Fast Computation of Matrices: Application to Molecular Vibrations
by: Jacob N. Sanders, et al.
Published: (2015-03-01)

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
by: Daniil Polykovskiy, et al.
Published: (2020-12-01)

Efficient quantum circuits for diagonal unitaries without ancillas
by: Jonathan Welch, et al.
Published: (2014-01-01)

Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set
by: Sagi Eppel, et al.
Published: (2020-09-01)

Exponentially more precise quantum simulation of fermions in second quantization
by: Ryan Babbush, et al.
Published: (2016-01-01)

A Theoretical Challenge: Transition-Metal Compounds
by: Markus Reiher
Published: (2009-03-01)

Response to Commentary on Force-field functory theory: classical force-fields which reproduce equilibrium quantum distributions
by: Ryan eBabbush, et al.
Published: (2013-12-01)

Force-Field Functor Theory: Classical Force-Fields which Reproduce Equilibrium Quantum Distributions
by: Ryan eBabbush, et al.
Published: (2013-10-01)

Phoenics: A Bayesian Optimizer for Chemistry
by: Florian Häse, et al.
Published: (2018-08-01)

Turbocharged molecular discovery of OLED emitters: from high-throughput quantum simulation to highly efficient TADF devices
by: Gómez-Bombarelli, Rafael, et al.
Published: (2017)

The theory of variational hybrid quantum-classical algorithms
by: Jarrod R McClean, et al.
Published: (2016-01-01)

Environment-assisted quantum transport
by: Rebentrost, Patrick, et al.
Published: (2012)

Topologically protected excitons in porphyrin thin films
by: Saikin, Semion K., et al.
Published: (2015)

Faster quantum chemistry simulation on fault-tolerant quantum computers
by: N Cody Jones, et al.
Published: (2012-01-01)

Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation
by: Mario Krenn, et al.
Published: (2020-01-01)

Chiral Sugars Drive Enantioenrichment in Prebiotic Amino Acid Synthesis
by: Alexander J. Wagner, et al.
Published: (2017-03-01)

An artificial spiking quantum neuron
by: Lasse Bjørn Kristensen, et al.
Published: (2021-04-01)

Correction to “Generative Adversarial Networks for Crystal Structure Prediction”
by: Sungwon Kim, et al.
Published: (2022-03-01)

Generative Adversarial Networks for Crystal Structure Prediction
by: Sungwon Kim, et al.
Published: (2020-07-01)

Quantum process estimation via generic two-body correlations
by: Mohseni, Masoud, et al.
Published: (2010)

CoRe optimizer: an all-in-one solution for machine learning
by: Marco Eckhoff, et al.
Published: (2024-01-01)

Tensor network states with three-site correlators
by: Arseny Kovyrshin, et al.
Published: (2016-01-01)

Immersive Interactive Quantum Mechanics for Teaching and Learning Chemistry
by: Thomas Weymuth, et al.
Published: (2021-02-01)

Editorial
by: Clémence Corminboeuf, et al.
Published: (2014-09-01)

The shape of dark matter haloes in the Aquarius simulations: Evolution and memory
by: Sales L.V., et al.
Published: (2012-02-01)

On the Predictive Power of Chemical Concepts
by: Stephanie A. Grimmel, et al.
Published: (2021-04-01)

Determining Factors for the Accuracy of DMRG in Chemistry
by: Sebastian F. Keller, et al.
Published: (2014-04-01)

Single-Atom Heat Machines Enabled by Energy Quantization
by: Gelbwaser-Klimovsky, David, et al.
Published: (2018)