Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.
Claim CLM-00001. 1. A method comprising:
(a) ingesting transportation-related data into a graph structure, the transportation-related data comprising flight-related data associated with a flight system; (b) identifying a flight-related metric associated with the flight system; (c) identifying at least one attribute associated with the transportation-related data, where the flight-related metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the flight-related metric for a first drone; (e) applying the operational parameter to the operation of the flight system; and (f) using the operational parameter that improves the flight-related metric for a first drone to improve the flight-related metric for a second drone.
Claim CLM-00008. 8. A system comprising:
one or more computers and one or more storage devices on which are stored instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising: (a) ingesting transportation-related data into a graph structure, the transportation-related data comprising flight-related data associated with a flight system; (b) identifying a flight-related metric associated with the flight system; (c) identifying at least one attribute associated with the transportation-related data, where the flight-related metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the flight-related metric for a first drone; (e) applying the operational parameter to the operation of the flight system; and (f) using the operational parameter that improves the flight-related metric for a first drone to improve the flight-related metric for a second drone.
Claim CLM-00015. 15. A method comprising:
(a) receiving transportation-related data, the transportation-related data comprising flight-related data associated with a flight system; (b) identifying a flight-related metric associated with the flight system; (c) identifying at least one attribute associated with the transportation-related data, where the flight-related metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the flight-related metric for a first drone; (e) applying the operational parameter to the operation of the transportation system; and (f) using the operational parameter that improves the flight-related metric for a first drone to improve the flight metric for a second drone.
