COMMENT
QUANTUM COMPUTING to revolutionise travel
Joseph Doetsch, quantum lead at Lufthansa Industry Solutions, explains how real-time optimisation will transform a multitude of travel industry operations
FASTER PLANNING CYCLES The travel industry is undergoing a profound transformation, marked by a new level of personalisation, as well as fast adaption to changes in consumer demand, geopolitical factors and even çĨĒįËŨóǝóƖóçŨšǝšŭçďǝËšǝďóËŨƃËƂóšǝ ËİíǝƜĺĺíšƿǝTďĒšǝĨóËíšǝŨĺǝíśËšŨĒçËĨĨƉǝ śóíŭçóíǝŘĨËİİĒİĉǝçƉçĨóšƿǝ=ĺśǝóƈËįŘĨóƺǝ the traditional summer and winter schedules of airlines are now updated at įŭçďǝďĒĉďóśǝĈśóŚŭóİçƉƿǝ
ǝçĺİŨĒİŭĺŭšĨƉǝ
çďËİĉĒİĉǝƜĒĉďŨǝšçďóíŭĨóǝśóŚŭĒśóšǝ coupled real-time optimisation of aircraft assignment, maintenance scheduling, crew įËİËĉóįóİŨǝËİíǝŘËššóİĉóśǝďËİíĨĒİĉƿ While today’s classical computers
can solve individual aspects of these optimisations, they fail at optimising the çĺŭŘĨóíǝŘśĺçóššóšǝĒİǝśóËĨǝŨĒįóƿǝQŭËİŨŭįǝ computing promises coupled real-time optimisation that could enable travel companies to respond more swiftly to disruptions, ultimately leading to a more śóĨĒËæĨóǝŨśËƂóĨǝóƈŘóśĒóİçóǝĈĺśǝçŭšŨĺįóśšƿ
QUANTUM COMPUTING’S POTENTIAL The race for large-scale, fault-tolerant quantum computers is intensifying, with major tech players and innovative šŨËśŨŭŘšǝĒİƂóšŨĒİĉǝďóËƂĒĨƉǝĒİǝŨďĒšǝĈśĺİŨĒóśƿǝ Currently, quantum computers have demonstrated the ability to outperform çĨËššĒçËĨǝšƉšŨóįšǝĺİǝšŘóçĒƛçǝŨËĒĨĺśóíǝ problems, although these may not yet ŨśËİšĨËŨóǝíĒśóçŨĨƉǝĒİŨĺǝæŭšĒİóššǝƂËĨŭóƿǝ However, the potential for quantum utility
ŨĺǝËííśóššǝšĒĉİĒƛçËİŨǝæŭšĒİóššǝçďËĨĨóİĉóšǝ ĒšǝËİŨĒçĒŘËŨóíǝƃĒŨďĒİǝŨďóǝİóƈŨǝƛƂóǝƉóËśšƿǝ Optimisation stands out as a promising ËŘŘĨĒçËŨĒĺİǝĺĈǝŚŭËİŨŭįǝçĺįŘŭŨĒİĉƿǝ Ɖǝ ŨËçĥĨĒİĉǝçĺįŘĨóƈǝçĺįæĒİËŨĺśĒËĨǝŘśĺæĨóįšƺǝ such as the ‘travelling salesman problem’, ŚŭËİŨŭįǝçĺįŘŭŨóśšǝçËİǝƛİíǝĺŘŨĒįËĨǝ solutions that classical computers struggle ƃĒŨďƿǝTďĒšǝçËŘËæĒĨĒŨƉǝĒšǝŘËśŨĒçŭĨËśĨƉǝ relevant for industries like travel, where numerous variables must be considered šĒįŭĨŨËİóĺŭšĨƉƿǝ ĺįŘËİĒóšǝŨďËŨǝĒİƂóšŨǝ in quantum solutions today may gain a competitive edge as the technology æóçĺįóšǝįĺśóǝËççóššĒæĨóǝËİíǝŘśËçŨĒçËĨƿ
QUANTUM OPTIMISATION USES 1 Scheduling:Quantum computing could
ĺŘŨĒįĒšóǝƜĒĉďŨǝšçďóíŭĨóšƺǝçĺİšĒíóśĒİĉǝ countless variables like aircraft maintenance, crew assignments, gate availability and passenger connections. This could minimise delays and costs while įËƈĒįĒšĒİĉǝŨďóǝŭšóǝĺĈǝƜóóŨǝśóšĺŭśçóšƿ
2 Route optimisation: Quantum computing can enhance route planning for airlines and other transportation providers, allowing for continuous adjustments based on real-time data. This capability can lead to reduced fuel consumption and lower emissions, aligning with sustainability goals.
3 Dynamic pricing: By analysing įŭĨŨĒŘĨóǝĈËçŨĺśšǝËƖóçŨĒİĉǝíóįËİíƺǝ quantum algorithms can optimise pricing strategies, ensuring competitive rates while maximising revenue. This includes considering variables such as seasonality, local events and competitor pricing.
4 Personalised travel experiences: By leveraging vast datasets, quantum computing can facilitate highly personalised travel recommendations, enhancing client satisfaction. This includes tailoring itineraries based on preferences and historical behaviour.
CONCLUSIONS QŭËİŨŭįǝçĺįŘŭŨĒİĉǝŘśóšóİŨšǝËǝ ŨśËİšĈĺśįËŨĒƂóǝĺŘŘĺśŨŭİĒŨƉƿǝ šǝŨďóǝ technology continues to evolve, it will enable faster planning cycles, optimise operations and enhance the overall travel óƈŘóśĒóİçóƿǝ¸ďĒĨóǝįĺšŨǝĺĈǝŨďóǝËæĺƂóǝŭšóǝ cases are not directly customer-facing, they ƃĒĨĨǝóİËæĨóǝËǝŘĺšĒŨĒƂóǝŨśËƂóĨǝóƈŘóśĒóİçóǝ in a fast-paced world, where schedules and resource assignment are continuously ËíËŘŨóíǝŨĺǝçďËİĉĒİĉǝšĒŨŭËŨĒĺİšƿ
PICTURE:
Fotografie-link.com
8 — OCTOBER 2024 —
TRAVOLUTION.COM
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48