activity
20072023
most citedA variational eigenvalue solver on a quantum processor

4.6k citations · 31.4k across the 155 of their papers we have counts for

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Showing 2013Show all

16 papers · 1 filter

quant-ph2013★ 194 cited

Adiabatic Quantum Simulation of Quantum Chemistry

Ryan Babbush, Peter J. Love, Alán Aspuru-Guzik

We show how to apply the quantum adiabatic algorithm directly to the quantum computation of molecular properties. We describe a procedure to map electronic structure Hamiltonians t…

quant-ph2013★ 15 cited

Computational complexity of time-dependent density functional theory

J. D. Whitfield, M. -H. Yung, D. G. Tempel +2

Time-dependent density functional theory (TDDFT) is rapidly emerging as a premier method for solving dynamical many-body problems in physics and chemistry. The mathematical foundat…

cond-mat.mes-hall2013★ 9 cited

Parametric Hierarchical Matrix Approach for the Wideband Optical Response of Large-Scale Molecular Aggregates

Davood Ansari-Oghol-Beig, Masoud Rostami, Ekaterina Chernobrovkina +4

Fast and efficient calculations of optical responses using electromagnetic models require computational acceleration and compression techniques. A hierarchical matrix approach is a…

quant-ph2013

Coherent exciton dynamics in supramolecular light-harvesting nanotubes revealed by ultrafast quantum process tomography

Joel Yuen-Zhou, Dylan H. Arias, Dorthe M. Eisele +5

Long-lived exciton coherences have been recently observed in photosynthetic complexes via ultrafast spectroscopy, opening exciting possibilities for the study and design of coheren…

quant-ph2013★ 31 cited

Thermodynamics of quantum coherence

César A. Rodríguez-Rosario, Thomas Frauenheim, Alán Aspuru-Guzik

Quantum decoherence is seen as an undesired source of irreversibility that destroys quantum resources. Quantum coherences seem to be a property that vanishes at thermodynamic equil…

quant-ph2013★ 33 cited

Resource Efficient Gadgets for Compiling Adiabatic Quantum Optimization Problems

Ryan Babbush, Bryan O'Gorman, Alán Aspuru-Guzik

We develop a resource efficient method by which the ground-state of an arbitrary k-local, optimization Hamiltonian can be encoded as the ground-state of a (k-1)-local optimization…