activity
20162026
most citedQuantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor

469 citations · 896 across the 27 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

quant-ph2023★ 7 cited

Estimation of electrostatic interaction energies on a trapped-ion quantum computer

Pauline J. Ollitrault, Matthias Loipersberger, Robert M. Parrish +12

We present the first hardware implementation of electrostatic interaction energies using a trapped-ion quantum computer. As test system for our computation, we focus on the reducti…

quant-ph2023★ 2 cited

Classical and quantum cost of measurement strategies for quantum-enhanced auxiliary field Quantum Monte Carlo

Matthew Kiser, Anna Schroeder, Gian-Luca R. Anselmetti +4

Quantum-enhanced auxiliary field quantum Monte Carlo (QC-AFQMC) uses output from a quantum computer to increase the accuracy of its classical counterpart. The algorithm requires th…

quant-ph2023★ 7 cited

Improved precision scaling for simulating coupled quantum-classical dynamics

Sophia Simon, Raffaele Santagati, Matthias Degroote +3

We present a super-polynomial improvement in the precision scaling of quantum simulations for coupled classical-quantum systems in this paper. Such systems are found, for example,…

quant-ph2023★ 3 cited

Fault-tolerant quantum algorithm for symmetry-adapted perturbation theory

Cristian L. Cortes, Matthias Loipersberger, Robert M. Parrish +9

The efficient computation of observables beyond the total energy is a key challenge and opportunity for fault-tolerant quantum computing approaches in quantum chemistry. Here we co…

quant-ph2023★ 16 cited

Fault-tolerant quantum computation of molecular observables

Mark Steudtner, Sam Morley-Short, William Pol +8

Over the past three decades significant reductions have been made to the cost of estimating ground-state energies of molecular Hamiltonians with quantum computers. However, compara…

quant-ph2023★ 5 cited

Quantum-enhanced quantum Monte Carlo: an industrial view

Maximilian Amsler, Peter Deglmann, Matthias Degroote +10

In this work, we test a recently developed method to enhance classical auxiliary-field quantum Monte Carlo (AFQMC) calculations with quantum computers against examples from chemist…

quant-ph2023★ 127 cited

Drug design on quantum computers

Raffaele Santagati, Alan Aspuru-Guzik, Ryan Babbush +12

Quantum computers promise to impact industrial applications, for which quantum chemical calculations are required, by virtue of their high accuracy. This perspective explores the c…