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20172025
most citedA Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer

191 citations · 404 across the 40 of their papers we have counts for

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Showing 2020 · quant-phShow all

5 papers · 2 filters

quant-ph2020

Insights on Training Neural Networks for QUBO Tasks

Thomas Gabor, Sebastian Feld, Hila Safi +2

Current hardware limitations restrict the potential when solving quadratic unconstrained binary optimization (QUBO) problems via the quantum approximate optimization algorithm (QAO…

quant-ph2020★ 1 cited

The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline

Thomas Gabor, Leo Sünkel, Fabian Ritz +5

We discuss the synergetic connection between quantum computing and artificial intelligence. After surveying current approaches to quantum artificial intelligence and relating them…

quant-ph2020

Approximate Approximation on a Quantum Annealer

Irmi Sax, Sebastian Feld, Sebastian Zielinski +3

Many problems of industrial interest are NP-complete, and quickly exhaust resources of computational devices with increasing input sizes. Quantum annealers (QA) are physical device…

quant-ph2020★ 8 cited

Optimizing Geometry Compression using Quantum Annealing

Sebastian Feld, Markus Friedrich, Claudia Linnhoff-Popien

The compression of geometry data is an important aspect of bandwidth-efficient data transfer for distributed 3d computer vision applications. We propose a quantum-enabled lossy 3d…

quant-ph2020

Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA

Christoph Roch, Alexander Impertro, Thomy Phan +3

Hybrid quantum-classical algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) are considered as one of the most encouraging approaches for taking advantage of n…