3 papers
quant-ph2021
Scaling overhead of embedding optimization problems in quantum annealing
Mario S. Könz, Wolfgang Lechner, Helmut G. Katzgraber +1
In order to treat all-to-all connected quadratic binary optimization problems (QUBO) with hardware quantum annealers, an embedding of the original problem is required due to the sp…
physics.comp-ph2018
Updated Core Libraries of the ALPS Project
Markus Wallerberger, Sergei Iskakov, Alexander Gaenko +13
The open source ALPS (Algorithms and Libraries for Physics Simulations) project provides a collection of physics libraries and applications, with a focus on simulations of lattice…
quant-ph2018
Uncertain fate of fair sampling in quantum annealing
Mario S. Könz, Guglielmo Mazzola, Andrew J. Ochoa +2
Recently, it was demonstrated both theoretically and experimentally on the D-Wave quantum annealer that transverse-field quantum annealing does not find all ground states with equa…