activity
20042020
most citedObstacles to State Preparation and Variational Optimization from Symmetry Protection

296 citations · 1.2k across the 18 of their papers we have counts for

collaborators

18 papers

quant-ph2020★ 103 cited

Hybrid quantum-classical algorithms for approximate graph coloring

Sergey Bravyi, Alexander Kliesch, Robert Koenig +1

We show how to apply the recursive quantum approximate optimization algorithm (RQAOA) to MAX--CUT, the problem of finding an approximate -vertex coloring of a graph. We compa…

quant-ph2020★ 45 cited

Enhanced noise resilience of the surface-GKP code via designed bias

Lisa Hänggli, Margret Heinze, Robert Koenig

We study the code obtained by concatenating the standard single-mode Gottesman-Kitaev-Preskill (GKP) code with the surface code. We show that the noise tolerance of this surface-GK…

quant-ph2019★ 296 cited

Obstacles to State Preparation and Variational Optimization from Symmetry Protection

Sergey Bravyi, Alexander Kliesch, Robert Koenig +1

Local Hamiltonians with topological quantum order exhibit highly entangled ground states that cannot be prepared by shallow quantum circuits. Here, we show that this property may e…

quant-ph2019★ 144 cited

Quantum advantage with noisy shallow circuits in 3D

Sergey Bravyi, David Gosset, Robert Koenig +1

Prior work has shown that there exists a relation problem which can be solved with certainty by a constant-depth quantum circuit composed of geometrically local gates in two dimens…

quant-ph2019★ 18 cited

Typical entanglement for Gaussian states

Motohisa Fukuda, Robert Koenig

We consider ensembles of bipartite states resulting from a random passive Gaussian unitary applied to a fiducial pure Gaussian state. We show that the symplectic spectra of the red…

quant-ph2019★ 20 cited

RTNI - A symbolic integrator for Haar-random tensor networks

Motohisa Fukuda, Robert Koenig, Ion Nechita

We provide a computer algebra package called Random Tensor Network Integrator (RTNI). It allows to compute averages of tensor networks containing multiple Haar-distributed random u…