121 citations · 297 across the 5 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
quant-ph2019★ 83 cited
Applying the Quantum Approximate Optimization Algorithm to the Tail Assignment Problem
Pontus Vikstål, Mattias Grönkvist, Marika Svensson +3
Airlines today are faced with a number of large scale scheduling problems. One such problem is the tail assignment problem, which is the task of assigning individual aircraft to a…
quant-ph2019★ 82 cited
Improved success probability with greater circuit depth for the quantum approximate optimization algorithm
Andreas Bengtsson, Pontus Vikstål, Christopher Warren +12
Present-day, noisy, small or intermediate-scale quantum processors---although far from fault-tolerant---support the execution of heuristic quantum algorithms, which might enable a…