Exploring quantum computing use cases for airlines
“Quantum advantage” is the point when we can definitively demonstrate, in certain use cases, a significant performance advantage over today’s “classical” (conventional) computers. By “significant,” we mean that a quantum computation is either:
– Hundreds or thousands of times faster than a classical computation
– Needs a smaller fraction of the memory required by a classical computer, or
– Makes something possible that simply isn’t possible now with a classical computer.
With the acceleration of efforts to increase the computational power of quantum devices, quantum advantage is on the horizon. Today, during what IBM calls the “quantum ready” phase, the focus is to enable clients to be prepared to take advantage of the future disruptive computational power of quantum computing. Key insights can already be developed by executing versions of future use cases that are small enough to run on current systems.
As the technology continues to improve, industry application developers will grow the scope of these use cases and leverage quantum computing for business advantage.
In the next twenty years, air travel is expected to double, increasing operational complexity. In the future, we expect quantum computing will play a crucial role in solving airlines’ complex business problems. It will produce new opportunities, mainly through higher computational speed, greater accuracy of data-driven actions, and the creation of new algorithms and systems capabilities to address challenges that classical systems cannot solve. This report identifies three use cases where quantum advantage may be a game-changer for airlines to optimize operations and improve customer experience.
Meet the authors
Lynn Kesterson-Townes, Global Cloud & Quantum Leader, IBM Institute for Business Value, IBM ConsultingDr. Imed Othmani, Industry Partner, Quantum Industry & Technical Services Systems, IBM Quantum
Steven Peterson, Global Thought Leader, IBM Institute for Business Value
Dr. Markus Ettl, Distinguished Researcher and Senior Manager, AI Marketing Research, IBM Research
Yannis Gounaris, Global Leader, Airlines, IBM Travel & Transportation Center of Competence, IBM Consulting
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Originally published 16 March 2020