activity
20202026
most citedEfficient encoding of the weighted MAX k-CUT on a quantum computer using QAOA

58 citations · 110 across the 4 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Bipartitioning of Graph States for Distributed Measurement-Based Quantum Computing

Kjell Fredrik Pettersen, Matthias Heller, Giorgio Sartor +1

Measurement-Based Quantum Computing (MBQC) is inherently well-suited for Distributed Quantum Computing (DQC): once a resource state is prepared and distributed across a network of…

cs.AI2025

DISPLIB: a library of train dispatching problems

Oddvar Kloster, Bjørnar Luteberget, Carlo Mannino +1

Optimization-based decision support systems have a significant potential to reduce delays, and thus improve efficiency on the railways, by automatically re-routing and re-schedulin…

quant-ph2025

An Exact Branch and Bound Algorithm for the generalized Qubit Mapping Problem

Bjørnar Luteberget, Kjell Fredrik Pettersen, Giorgio Sartor +4

Quantum circuits are typically represented by a (ordered) sequence of gates over a set of virtual qubits. During compilation, the virtual qubits of the gates are assigned to the ph…

quant-ph2022★ 52 cited

Constrained mixers for the quantum approximate optimization algorithm

Franz G. Fuchs, Kjetil Olsen Lye, Halvor Møll Nilsen +2

The quantum approximate optimization algorithm/quantum alternating operator ansatz (QAOA) is a heuristic to find approximate solutions of combinatorial optimization problems. Most…

quant-ph2020★ 58 cited

Efficient encoding of the weighted MAX k-CUT on a quantum computer using QAOA

Franz Georg Fuchs, Herman Øie Kolden, Niels Henrik Aase +1

The weighted MAX k-CUT problem consists of finding a k-partition of a given weighted undirected graph G(V,E) such that the sum of the weights of the crossing edges is maximized. Th…